Senior Data Analyst Resume Samples

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HO
H O'Conner
Hermina
O'Conner
229 Keyshawn Ville
Chicago
IL
+1 (555) 246 8987
229 Keyshawn Ville
Chicago
IL
Phone
p +1 (555) 246 8987
Experience Experience
Chicago, IL
Senior Data Analyst
Chicago, IL
Hyatt Group
Chicago, IL
Senior Data Analyst
  • Develop and maintain positive and professional working relationships with all levels of management, external customers and vendors
  • Work directly with advisory Managing Directors and Principals to develop ideas or client requests into working solutions
  • Works with the management team and contribute to the development and implementation of department strategies
  • Makes recommendations about methods to collect, analyze and manage data to improve data quality and the efficiency of data systems
  • Develop reporting and analysis to measure the effectiveness of direct marketing channels; make data driven recommendations that optimize channel performance
  • Assist in development of reports, providing content and writing of key observations
  • Prioritize analyses, develop tactical approaches, and manage analyst work streams
present
San Francisco, CA
Senior Data Analyst
San Francisco, CA
Jerde Inc
present
San Francisco, CA
Senior Data Analyst
present
  • With admin support, manage internal Shared Drive; develop an enhanced workpaper naming convention for SharePoint site; and manage access to workpapers
  • Works with, and reviews the work product of, analytics development resources to develop high quality, efficient solution components
  • Manage and develop relations with Dentsu Aegis Network team and our third-party attribution provider
  • Assist in the development and preparation of ad hoc reports on specific issues to help practice managers and physicians make decisions
  • Assist with the development of a measurement and learning plan including establishing campaign performance benchmarks, goals, and projections
  • Work with Product/Program Manager(s) to manage the product development process and report progress toward achieving
  • Create, extract and perform complex reports utilizing various databases and providing recommendations to different levels of management
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
Rutgers University
Bachelor’s Degree in Computer Science
Skills Skills
  • Strong problem solving skills, self-motivation and the capacity to work under pressure with tight deadlines and strong attention to detail
  • Self motivated and proactive, with attention to detail, deadlines, and good quality control practices
  • Be proficient in SQL and a visualization tool (Tableau or Spotfire); a working knowledge of data manipulation in SAS is
  • Strong knowledge of SQL and Business Intelligence Tools (Tableau, Qlik, BusinessObjects, etc.)
  • Knowledge of HSD tables and Quest analytics highly desired
  • Strong knowledge of Tableau
  • Strong attention to detail, testing to identify defects, and ability to drive remediation
  • Should be proficient in Business Analysis, Business Knowledge, Software Engineering Leadership, Architecture Knowledge and Technical Solution Design
  • Ability to work well under deadlines, ability to work in a multi-tasking production environment to make good judgments about competing priorities
  • Strong knowledge of working on databases, BI tools like BO, Cognos, Microstartegy and visual tools like Tableau
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15 Senior Data Analyst resume templates

1

Senior Data Analyst Resume Examples & Samples

  • Provide accurate data analysis and reporting for business decision-making
  • Develop and implement new analytics and reporting driven by business needs
  • Serve as internal consultant providing accurate and timely analytics and reporting
2

Senior Data Analyst Resume Examples & Samples

  • Lead internal projects focused on revenue/profit enhancement opportunities – direct SQL database inquiries involving very large data sets, develop hypotheses and analyses in excel, present results to internal clients and executives
  • Develop new statistical predictive models to forecast demand, including pricing models
  • Communicate and explain demand models (inputs, outputs, rationale, gaps) and recommendations to senior management
  • Partner with cross-functional teams to ensure that inventory flows and product assortments support performance goals and forecast demand
  • Make recommendations based on forecasted demand scenarios
  • Use data analysis to validate business and model assumptions
  • Conduct data mining and analysis to uncover trends and correlations to better predict demand
3

Senior Data Analyst Resume Examples & Samples

  • Provide full reference data support which includes security setups, trade flow, problem resolution, and synchroncization across systems for one or more of the following application groups
  • BPS/SMR (BPS 006 and 069, RBC BackOffice/SMR, Bloomberg, Anvil, BATS, GLOSS)
  • ICI/BPS (ICI Impact, BPS 006, FIFE, BondDesk, WinFITS/MBSE, Showcase)
  • NY SecMas/Sophis (NY Security Master, Sophis, Reuters)
  • Interpret vendor-provided data (IDC, Bloomberg) as well as all manner of official documentation related to security issuance and subsequent actions ( including term sheets, official statements (OS), escrow agreements, filings, call notices, and DTCC notifications) and relate to specific security descriptive data points to issue accuracy and completeness of security reference data. Escalate discrepancies to data vendors and follow issues through to resolution
  • Execute scheduled update and maintenance processes for security data, security pricing, and compliance; for example: preparing pricing uploads by extracting and evaluating prices from multiple sources, reviewing customer confirmation for complete security disclosures, and creating reports for business partners using multiple data sources
  • Develop specific areas of expertise within security reference data; for example: foreign securities, yield calculations, industry ratings, confirms/statements, or asset classification
  • Within your area of expertise, assume a leadership role supporting these activities
  • Problem escation and resultions
  • Identification of system issues
  • Documentation of both general information and specific procedures for use by the entire department
  • Preparation of requirements for system fixes and enhancements both for internal IT and vendor systems
  • Testing and test documentation for system fixes and enhancements
  • Establish new department procedures as needed to support new requests for data or to ensure accuracy; prepare process documentation for department use and audit requirements
  • Support WM and CM projects as a subject matter expert for Security Reference Data
  • Support WM CAS conversions through review of securities coming in for new situations/security types, identification of securities not pre-existing on our systems; setup global securities as well as privately-held or restricted securities; and coordination with the conversion team
  • Develop working knowledge of query and macro tools. Be able to modify existing queries or tools to meet new requests/requirements
  • Participate the internal and external audits as required
  • Resolve discrepancies and errors in a timely manner, particularly as related to pending trades
  • Appropriately prioritize and complete a variety of requests, issues, tasks, and projects ranging in duration from intraday to a year or more
  • Escalate issues promptly to mangement as required
  • At least three years experience working with across instrument types in an operational capacity at a brokerage firm
  • Series 99, Series 7 or equivalent preferred
4

Senior Data Analyst Resume Examples & Samples

  • A minimum education level of: Bachelor of Arts/Sciences Degree (4-year)
  • Experience in music, entertainment, and/or television industry a plus, but not required
  • Familiar with statistical packages (e.g., SPSS, SAS, etc.)
  • Familiar with database (e.g., SQL Server, MS Access, MySQL) and ability to write simple SQL statements
5

Senior Data Analyst Resume Examples & Samples

  • Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality
  • Contribute a business or process perspective during design reviews
  • Assess solutions in concert with the design team, identify and escalate issues and mitigation plans to business and technology leadership
  • Conduct research to determine if solutions to business requirements currently exist within or outside the technology unit, and if not, whether new solutions are feasible
  • Analyze impact of proposed solution across the business, cross impacted partners in business, operations and technology across LOBs
  • Assist Quality Assurance teams to ensure that requirements documentation can be easily translated into test plans and test cases
  • Facilitate implementation of new functionality through training sessions, demos, and the development of appropriate documentation
  • 5-7 years of experience with data and business analysis, including problem solving
  • Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy with ability to ‘tell the story&#8217
  • Excellent written and oral communication skills and demonstrated strong ability to interact/influence with both business and technology partners
  • Proficiency in Python, PERL, Shell Scripting and macros
6

Senior Data Analyst Resume Examples & Samples

  • Provide rapid development services for critical reporting and process improvement projects
  • Support with the creation of, maintenance of, and integrate of metrics related to into a common reporting and analytics solution
  • Assist with the definition of metrics and measurements to provide governance to processes
  • Perform ad-hoc reporting and analysis
  • Assist with the development of and performance of predictive analytics and the transformation of data to business intelligence
  • Support with the execution of project plans
  • Support and act as a leader with end to end process of data sourcing, importing, cleaning, transforming, validating and modeling into a meaningful purpose such as illustrative charts, graphs, tables, dashboards, etc
  • Be creative and resourceful to solve problems to analyze and interpret the data, which will require exceptional pattern recognition and data interrogation techniques
  • Have a solid understanding of how databases work, and querying and coding languages to retrieve and manipulate the data for desired affect
  • Work closely with project and process teams to design procedures that will support data mining and business analysis
  • Power User (five or more years of experience) with Business Intelligence tools such as OBIEE and Tableau, and working knowledge of big data tools such as Datameer, Hadoop, Teradata and Aster
  • Working knowledge of SQL query writing, coding/programming and leveraging procedural languages
  • Experience in metrics, reporting, dashboards, scorecards and analytics
  • Knowledge of financial services products, financial crimes experience preferred
  • Bachelor’s degree in a technical discipline such as Computer Science, Information Systems, Mathematics, Statistics, Engineering, Physics, etc
  • Extremely strong analytical skills, including pattern recognition
  • Willingness to learn and develop expertise in areas outside of core comfort zone
7

Senior Data Analyst Resume Examples & Samples

  • Support key Personalization initiatives and processes to develop and optimize statistical approaches that model customer multi-channel purchase behavior with respect to seasonality, promotion, brand, and/or product in a retail environment
  • Analyze, interpret, and summarize findings that serve to optimize and continuously improve Personalization processes, algorithms, and performance objectives
  • Recommend and implement best practices, provide actionable insights, and identify business opportunities in a collaborative team environment
  • Apply knowledge of experimental designs to implement and analyze results from extensive Personalization tests in both online and in-store contexts (including recommendation engine results) using standard statistical tests
  • Bachelor's degree (advanced degree preferred) in statistics/applied statistics, machine learning, mathematics, econometrics, computer science, or other quantitative discipline
  • 3+ years experience with SQL assembling large data sets from both structured and unstructured sources using data marts/warehouses such as Oracle and Teradata
  • Proven ability to implement automated, scalable, efficient, and reliable processes/programs to derive, transform, model, and score large data sets
  • Experienced formulating, implementing, and validating predictive models using linear/logistic regression, decision trees, boosted trees, and/or neural networks
  • Knowledgeable implementing clustering solutions and applying dimensionality reduction techniques such as factor analysis, principal components analysis, and/or SVD
  • Must be proficient with one or more statistical software packages such as SAS, R, or SPSS (SAS and SAS Macro development strongly preferred)
  • Ability to communicate and shape complex analytical information into actionable business recommendations
  • Proficiency in Microsoft Office software (Excel, PowerPoint, Word)
  • Ability to manage concurrent projects at different stages of completion
  • Perform tasks with a high degree of accuracy and attention to detail
  • Demonstrate excellent oral and written communication skills
  • Ability to be flexible and deal with changing priorities and timelines/due dates
  • Data mining and analysis of both structured and unstructured data, especially clickstream data
  • Ability to answer marketing/merchandising questions with analytical reports on consumer behavior
  • 3+ years of quantitative and analytical experience supporting marketing or merchandising in a multi-channel retail environment
  • Design and evaluate statistical experiments to test customer behavior
8

Senior Data Analyst Resume Examples & Samples

  • Degree in Engineering / Computing / Actuarial Science / Statistics
  • Demonstrated ability to work independently yet interact effectively with different levels of management
  • Corporate work ethics – integrity being paramount importance
9

Senior Data Analyst Resume Examples & Samples

  • Serve as a subject matter expert on various projects as appropriate
  • Serve as a Business Analyst working with all business lines, gathering and documenting project and business requirements, with a specific focus on data requirements
  • Extensive data management experience
  • Operational and management experience with Eagle PACE platforms preferred
  • Mid-level technology skills (systems implementation, data manipulation, data feed support)
10

Senior Data Analyst Resume Examples & Samples

  • Responsible for both leading and participating in a team of analysts focused on the analysis, design, implementation, and follow up of the migration of data from disparate applications to go-forward applications in the Hanesbrands Supply Chain applications portfolio
  • Develop an in-depth understanding of the data requirements of go-forward applications
  • Participate in developing the methods for documenting data templates for various types of data
  • Document data templates for scenarios supported by go-forward applications
  • Lead a team of analysts in evaluating target application sets in consolidation and acquisition projects and mapping data requirements to the documented data templates, identifying data gaps and working with applications teams on solutions to address those gaps
  • Demonstrate an effective and consistent use of technology in the performance of job responsibilities
  • Reviews and ensures that major data architectural designs are consistent, maintainable, flexible, and cost effective for Hanesbrands. Utilize the data architecture review process to introduce changes to the Hanesbrands roadmaps and standards based on project requirements to ensure that it stays up-to-date and continues to evolve. Articulates the tradeoffs, benefits and risks of all data and design solutions
  • Provides analysis to support development of vision, data strategy, data architecture and the overall design and development of HBI Supply Chain systems as needed. Provides consultation to application owners, business partners and peer groups regarding long and short-range data solutions that meet business requirements
  • Diagnoses data problems effectively and determine solution options with consideration to business impact
  • Adhere to enterprise architecture strategies, principals, standards, policies and procedures. Understands and ensures compliance with IT strategy
  • Understand industry trends, emerging technologies and standards in order to evolve the Hanesbrands Standards and Roadmap
  • Bachelor’s degree or equivalent work experience defined as 7 or more years of overall experience with data analysis for major software systems
  • Excellent knowledge of data requirements for a consumer packaged goods type of company that performs vertical manufacturing
  • Ability to quickly assess the impact of data changes on the business, application relationships and information flow
  • Ability to function as a thought leader for the Supply Chain strategy and vision
  • Strong ability to facilitate collaboration among senior technical team members and senior business leaders
  • In-depth knowledge of design considerations for high volume transaction systems
  • In-depth knowledge of design considerations for large database implementations
  • Experience defining and implementing information and data architecture governance, including acting as a design authority for information and data within projects and programs
  • Ability to lead, motivate and participate in cross functional teams, providing mentoring and support to junior team members
  • Excellent interpersonal and communications skills - lead, collaborate, facilitate, and negotiate as necessary
  • Ability to define and manage the scope of data tasks and execute projects on time and within budget, escalating exceptions in a timely manner
  • Excellent research skills, ability to leverage available tools such as subscription services, trade press, Internet or other online services
  • A wide base of experience in many disciplines of information technology
  • Strong consensus building skills
  • Effective use of data analysis tools (SQL, Excel, etc.) to access and manipulate data across a range of database and information platforms
  • Must be a self-starter with the skills required to be able to motivate and influence across all levels of the organization
  • Ability to work flexible hours during key implementation activities
  • Ability to travel both domestically and internationally to perform data analysis functions
11

Senior Data Analyst Resume Examples & Samples

  • Work with key stakeholders and other members of the Digital Insights team to define and manage online customer insights through definition of KPIs, web metrics capabilities and reporting
  • Support Digital Channel initiatives for TD’s Credit Card and Insurance teams through data gathering, analysis, business cases and providing monthly trended forecast and plan information
  • Analyze trends in both internal and vendor-supplied data to interpret customer relationships and make appropriate recommendations to key stakeholders within the organization
  • Contribute to presentations for senior management that clearly and concisely present findings and recommendations
  • Work with other members of the Data Analytics team to define and establish standards, processes and policies for an online datamart
  • Participate in the education of business partners in the area of data analytics
  • Stay abreast of industry trends and innovations and drive new analytics initiatives that contribute to business goals
  • Will be naturally inclined to take the initiative on projects
  • Will have an entrepreneurial drive that will allow you to create/complete what does not currently exist
  • Have a Web Strategy background that will inform your advocacy and selling skills – you must be persuasive and collaborative
  • Will be patient yet able to manage rapidly escalating pace of change within the bank
12

Senior Data Analyst Resume Examples & Samples

  • Review business requirements with project teams to propose and produce technical documentation such as data architecture, data modeling, data dictionary, source to target mapping with transformation rules, ETL data flow design, and test cases
  • Discover, explore, analyze and document data from all source and target systems to better understand the total scope of Data Availability at JPMC
  • Participate in the Agile development process to develop automated data pipes
  • Optimize queries, data aggregations, and data pipes and improve data models in order to optimize and improve data delivery performance
  • Collaborate with other data engineers to provide development coverage, support, and knowledge sharing and mentoring of junior team members
  • 8+ years total professional experience in software development
  • 5+ years of experience creating/maintaining complex SQL against dimensional data models
  • Moderate hands-on KornShell scripting experience
  • Proven critical thinking ability, with superior verbal and written communication skills
  • Proven ability to work independently and take on ownership of complex processes in a very dynamic and adaptive environment
  • Interest in Consumer Banking innovations and enhancing customer experiences
  • Experience with Hadoop, Greenplum and other “Big Data” solutions
  • Experience in Teradata and Teradata SQL Assistant software
13

Senior Data Analyst Resume Examples & Samples

  • Develop and design reports, financial schedules, dashboards, and analyses using a variety of data-mining and presentation tools
  • Extract data from multiple sources and deliver in a unified format
  • Drive efficiencies within the current reporting structure including enhanced automation
  • Identify gaps in current reporting process and drive the implementation of new controls and strategic solutions
  • 3+ years of data-mining and analytical experience, preferably in a financial services industry (can be 1+ or equivalent training if hiring an analyst)
  • Strong PC skills in Microsoft Office; specifically Excel and Powerpoint
  • Proven experience working with SAS to extract and manipulate data
  • Bachelor's degree, preferably in a quantitative field
  • Experience with Unix and shell scripting
  • Knowledge of Essbase
  • Strong data management and problem solving skills
  • Ability to plan and execute in a timely manner with an appropriate sense of urgency
  • Ability to manage multiple initiatives simultaneously
14

Senior Data Analyst Resume Examples & Samples

  • Infer operational insight from statistical analysis and communicate complex solutions in a clear, understandable way to non-experts
  • Prepare presentations and clearly communicate findings from initiatives to senior management and to the broader organization
  • Create visualizations to make data easily accessible across the organization
  • Own detailed analytical projects, create automated business intelligence solutions, and act as a resource for Regional Leader in complex analyses and data projects
  • Understand difficult business problems and fully prototype data science solutions (back-end database, model and simple front end)
  • Support new client acquisitions and integrations
  • Ensure continued high quality of ad hoc performance reports and analytics, serving both to drive WCS SLT thinking and respond to requests from Global GE Businesses
  • Bachelor's degree in Maths, Statistics, the Physical Sciences, Operational Research or Computer Science, or a relevant degree with quantitative analysis
  • A minimum of 3 years relevant experience
  • Must submit your application for employment through gecareers.com to be considered (Internals via COS)
  • Must be willing to comply with pre-employment screening, including but not limited to drug testing, reference verification, and
  • Preferred experience with technologies such as SAS, R, Hadoop, or any other analysis tools
  • Preferred experience with Business Objects, SPOTFIRE, OBIEE or SQL Business Intelligence tools
  • Experience of working in a global team
15

Senior Data Analyst Resume Examples & Samples

  • University Degree. Preferably Computer Science or Business degree
  • 10+ years of proven experience in data analysis, business analysis, data management, data warehousing, data transformation, metadata and reference data
  • Possess excellent documentation skills and organizational skills
  • Possess strong analytical ability to understand business data requirements and translate it to design concepts for data model development
  • Proven experience in producing data requirements and conducting data analysis that have enterprise-wide data coverage in a large transformational program
  • Experience in SQL query techniques and use of SQL tools
  • Knowledge of conceptual and logical data model concepts
  • Knowledge of dimensional modeling, relational databases, data warehouse and business intelligence concepts
  • Financial Services Industry business knowledge preferred
  • Experience in conducting data analysis using data profiling tool
  • Experience in identifying business keys to use for reconciling data to authoritative sources
  • Solid understanding of data domains in Financial Services industry
  • Good understanding of front-to-back functions and data flows within an organization
  • Good understanding of data and functional processes within Risk Management and Finance
  • Proven expertise in data requirements documentation and data analysis
  • Excellent understanding of data representation via data models including XML and related technologies
16

Senior Data Analyst Resume Examples & Samples

  • Work closely with game designers to understand current and new features in order to identify & define in-game development and BI hooks, events
  • Based on the identified hooks, write complex set of SQL queries in order to extract and analyze big, complex, multi-dimensional datasets with variety of tools
  • Own instrumentation of analytics and tracking hooks during development phase; establish best practices for repeated application
  • Generate actionable reports and recommendations on features that will improve retention, monetization and acquisition. Identify pain points and work with product management, design and product development to implement strategies to address key problem areas
  • Share insights with executive leadership and game teams regularly. Create cogent reports that are simultaneously data-rich and easily digested
  • Work closely with development, DGS BI and QA teams to make assure timely implementation and sanity of the identified BI hooks, events, data warehouse tables and etc
  • Work closely with the game designer and producer to create, balance, and optimize the game
17

Senior Data Analyst Resume Examples & Samples

  • Works with the project Business Analysts and LOB determine requirements for data
  • Identify and assess potential data sources
  • Recommends appropriate scope of requirements
  • Defines business rules to map data into Data Supply Chain’s Organize or Consume layers
  • Works with ETL and/or Data architects to translate requirements into technical data specifications
  • Deliver on expectations while also managing/meeting the Enterprise Data Strategy/Vision
  • Partnering with the Line of Business and application SME’s performs business rules and data mapping
  • 7+ years mapping data using data profiling\discovery tools
  • Strong interpersonal and communications skills
  • Ability to translate business requirements into technical data requirements
  • Knowledge of KeyBank data and its uses in the line of business application areas
  • Knowledge of key data processes in the Data Supply Chain
  • Strong SQL Skills and knowledge of data warehouse principles including an understanding of Entity-Relationship
18

Senior Data Analyst Resume Examples & Samples

  • Perform data validation, data extraction, data testing and data loading in various applications for any data anomalies
  • Perform in-depth analysis of data issues – issue resolution, root cause analysis
  • Review designs, codes, process/test plans, or documentation to pertaining to data flow / quality
  • Provide or coordinate troubleshooting support for data quality issues
  • Prepare functional or technical documentation
  • Work across all components of in-scope applications, e.g. input data reception and loading (fact and reference), dimensions mapping and derivations, aggregations, data delivery reports/tools refresh and transport
  • Prepare reprocessing/data recovery plans – together with other functions
  • Maintain internal and external communication of data quality incidents
  • Bachelor degree in IT/Engineering/Math courses
  • 3 - 5 years of experience in IT or support field, specializing in enterprise data warehouse
  • Troubleshooting, problem solving and analytical skills
  • Hands-on experience in any of the following: SQL, PL/SQL, SAP
  • Excellent in verbal and written communication; ability to bridge technical and business issues
  • Team player, self-starter, can work with very minimal supervision
  • Knowledgeable in ITIL processes/ISO20000/ISO27000/CMMI/EDGE
19

Senior Data Analyst Resume Examples & Samples

  • Execute detailed back-end analysis, trending, forecasting and recommend changes to improve marketing effectiveness
  • Identify gaps in the data capture strategy and collaboratively implement enhancements across the organization
  • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
  • Create automated dashboards and regular reports of digital marketing initiatives
  • Collaborate across the organization to generate ideas and strategies based upon data-driven insights and recommendations
20

Senior Data Analyst Resume Examples & Samples

  • Ability to work flexibly and efficiently:projects vary in length and are very fast-paced, must be comfortable adapting approach to fit the project’s needs and constraints; must exercise a balance between design/inspiration and academic research rigor in order to move quickly from planning, to conducting analysis, to synthesizing insights, to recommending directions and opportunities
  • Complete command of Excel (an Excel skills assessment will be provided at time of interview)
  • Strong analytical and strategic thinking skills
  • Comfortable with ambiguity, able to multitask and prioritize competing responsibilities
  • 60% Data Analysis and Visualization
  • Coordinates integration of multiple, disparate data sets, reviews data for anomalies, investigates to identify cause, corrects data inaccuracies and inconsistencies, and determines the best approach for analysis
  • Data analysis from multiple sources and assists in interpretation of results using a variety of techniques to uncover insights
  • Provides recommendations and conclusions gained from analyzing data
  • Determines appropriate format for data and results presentation
  • Produces visuals (infographics, graphs, tables, charts, etc.) that make complex data easy to understand
  • Coordinates ongoing production of reports that effectively present and summarize data (e.g., service and resource dashboards) to review by leadership
  • 30% Analytics Project Coordination
  • Gathers data and information from key stakeholders to inform the development of projects
  • Performs assigned data collection and analysis, facilitates resolution of issues with guidance from the Sr. Data Manager, and reports status on project plans and progress at regular intervals to leadership
  • Tracks the changes that occur to the project and associated documentation
21

Senior Data Analyst Resume Examples & Samples

  • Create and report on the state of the Premium Ad Experiences business by establishing and tracking KPI’s, insights and reports
  • Dive into our Native Advertising solutions and develop reporting and insights
  • Provide front line reporting support by compiling data and performance reports, conducting campaign analyses, and conveying results to customers, internal teams and execs
  • Troubleshoot and diagnose campaign reported metrics and reporting bug or issues
  • Identify gaps and enhancements to campaign metrics and reports as well as business reports/dashboards leading to product requirements
  • Develop insights on advertiser performance, product trends and operational health to drive product evolution
  • Generate and maintain APX benchmark reports on our data for internal and external release
  • Partner with marketing and research teams to develop meaningful metrics for inclusion in sales material and education as well as externally facing messaging/PR
  • Work closely with APX Reporting systems to provide detailed product requirements and enhancements to continually improve our reporting products
  • Partner with AOL & other analysts on monthly and quarterly business reporting
  • BA/BS in a related discipline (e.g. sciences, engineering, economics, accounting, computer science, business) and/or 5-7 years related work experiences
  • A strong understanding of digital advertising marketplace, including advertising performance, Viewabilty and revenue is desired. Familiarity with other Rich Media advertising metrics and tools a plus
  • Experience querying, manipulating large data sets and creating custom data views and reports Track-record of business results driven by candidate’s data analysis and insights
  • Expert analytical skills leveraging tools such as Excel, Tableau, Qlikview, SQL, Hive
  • Demonstrable presenter and communicator with ability to tell stories with data and drive comprehension of results to various levels of the organization from sales to executives
  • Ability to identify analytically-driven insights and translate to actionable recommendations for Marketing, Sales and Product organizations
  • Strong communicator who can partner with a diverse set of technical and non-technical stakeholders and provide them with best in class front line analytical support
  • Extremely organized and capable of managing, tracking and troubleshooting multiple projects simultaneously in a fast paced environment with multi-disciplinary teams
  • Exceptional attention to detail balanced with creative and innovative approaches to problem solving Motivated and practical self-starter with continued thirst for learning
  • Someone who is personable, passionate, fun and fits in with AOL culture
22

Senior Data Analyst Resume Examples & Samples

  • Work with the Business Analytics team to build quantitative models for Assurance Services. Scope includes data preparation, data profiling, building models, writing white papers, visualization and presenting to the business audience the practical implications of the results
  • Build predictive models using statistical and data mining methods in the areas of audit risk, staffing needs for engagements, monitoring, and other areas; principal investigator on other analytics projects
  • Translate the results of the quantitative models into practical business implications
  • Ability to think outside of the box and to learn new approaches to modeling business problems with a focus on the practical application of the results
  • Develop and propose new analytics ideas about our markets, services, competitors and regulatory environment. Your recommendations should advance thinking on critical issues, and ultimately impact firm strategy
  • Conduct high quality analytics work with the Business Analytics team. This will include developing leading practices for all phases of the analytics development cycle
  • Establish leading practices for key analytical processes, including model development, visualization, and implementation, to enhance the performance of the organization
  • Communicate progress, barriers, risks and benefits to clients, to achieve project success
  • Gain a broad understanding of business fundamentals, and of the organization, both globally and in the Americas
  • Be proficient in SQL and SAS (data manipulation); proficiency in Tableau highly preferred; knowledge of other programming languages is a plus (e.g. VBA; SAS JMP))
  • Ability to understand key capital market and economic issues, as well as other business trends that could impact the firm
  • Awareness of threats and opportunities facing the profession and the firm
  • Comfortable in a rapidly changing environment, with competing and shifting priorities
  • Strong project management skills and experience
  • Ability to partner with other departments or with Area leaders
  • 2-4 years experience working with data and data analytics
23

Senior Data Analyst Resume Examples & Samples

  • Work closely with marketing teams to define key metrics, identify trends and opportunities across channels, campaigns and consumer segments, and provide solutions for their analytic and KPI requests
  • Manage business needs for web analytics and tracking
  • Develop and maintain dashboards based on KPI’s of the business
  • Develop ad hoc reports based on business questions
  • Develop and implement tagging/ web analytics code to enable tracking of online properties to ensure tracking is in place to allow for us to optimize consumer experience as well as allow for the analysis of the consumer journey
  • Document all data standards and processes as appropriate and audit when necessary
  • Manage internal and external resources to drive web analytics projects to completion
  • Support A/B and multivariate testing efforts, from ideation to execution to post launch analysis
  • Contribute to web analytics roadmap
  • Engage in "root cause" analysis to assess changes in metrics and underlying causes and provide recommendations for improvement
  • Assess the impact of various initiatives and measure results. Provide recommendations for improvement as necessary
  • Analyze websites data on traffic sources and patterns and conversion funnel ; provide actionable insights to marketing teams on campaign analysis, customer segmentation and profiling; expand real-time analytics practice for high profile campaigns and new product/ content launches
  • Create, manage and distribute data and insights via regular and ad-hoc reporting utilizing analytics tools and reporting/analysis platforms (Microstrategy, Tableau, SQL, Excel, …)
  • Bachelor degree in a technical or quantitative discipline (Mathematics, Economics, Statistics, Computer Science, Engineering), Master’s preferred
  • 5+ years related experience including hands-on expertise in performing and delivering quantitative analyses
  • 3-5 years online marketing experience preferably in the web analytics space
  • Experience with Adobe Analytics (Omniture) Site Catalyst
  • Experience with Site Catalyst implementation
  • Experience in web analytics requirements gathering, solution design and implementation; solid experience in the area of online visitor intelligence / behavior, tracking/tagging
  • Experience with Ad Hoc Tool and Report Builder
  • Experience developing dashboards based on business KPI’s
  • Ability to derive insights from data
  • Handle fast-paced and challenging job demands
  • Self-motivated & analytically curious
  • Strong quantitative skills, and experience utilizing scientific analytic methods, qualitative methods, and quantitative analysis techniques
  • Tag Management solutions knowledge a plus
  • Ad Serving platforms (Double Click, Ad Tech, Atlas, …) knowledge a plus
  • In depth knowledge of SQL and Excel; programming experience and knowledge of Tableau a plus
  • Experience with e-commerce and attribution modeling a plus
24

Senior Data Analyst Resume Examples & Samples

  • Conduct advanced analytics and consumer segmentation using applications such as SAS or SPSS in order to maximize the effectiveness of digital communications and drive marketing strategy
  • Create, manage and regularly distribute critical marketing-related reports utilizing relational databases and reporting technologies such as Microstrategy, Cognos, SQL, Excel, and Access
  • Leads the design and development, in partnership with IT, of Business Intelligence platforms
  • Ensure compliance with Data Management Laws
  • Must have thorough understanding of database structure
  • Experience creating complicated reports including sub-reports, parameter based reports, graphical reports, formula based, well-formatted reports, drill-down reports, analysis reports, etc
  • 4+ years prior hands-on experience with database and/or digital marketing data including querying, reporting and analysis required
25

Senior Data Analyst Resume Examples & Samples

  • Assist in the development, documentation and implementation of timely, relevant and comprehensive CCAR Y-14 Regulatory reporting requirements
  • Analyze commercial and consumer loan and portfolio data, advising management of trends and any significant changes in the quantity and quality of the data elements being reported
  • Perform prescribed analysis and ad hoc portfolio monitoring/reporting activities as assigned
  • Strong analytical skills and knowledge of real estate,loans, leases, securities, and/or derivatives required
  • Strong natural affinity for structuring and organizing large amounts of data in order to satisfy continually evolving reporting needs
26

Senior Data Analyst Resume Examples & Samples

  • Be an active participant in managing the Systems and Data Analytic teams work items, including ad hoc research items and incidents on behalf of the GRC group
  • Bachelor’s degree (B.A. /B.S.) from four-year College or University; or minimum 5 years related experience and/or training; or equivalent combination of education and experience
  • Ability to research and review data conditions and translate them into recommendations, then contribute to the development and implementation of appropriate technical solutions
  • Experience with SQL as a tool to research and identify data conditions within EDS Applications, systems and processes
27

Senior Data Analyst Resume Examples & Samples

  • Drive the build out of DPM’s analytical capabilities by developing accurate, dynamic and visual reporting that clearly communicate trends, statistically significant anomalies and explain variances from the norm
  • Provide analytical support as the primary contact for DPM’s Research capability using financial modeling techniques in excel and/or specialized tools for DPM. DPM provides enhanced data analysis for Participation, Residuals and Audit through identifying and resolving data exceptions and miscoding, correcting the data and, in some instances, working with MIS to implement solutions
  • Manage the status and operational metrics reporting and indentify areas that need escalation to ensure progress. Analyze the reported metrics to identify trends and provide suggestions on how to improve primary analysis within Participations, Residuals and Audit
  • Facilitate system enhancements during requirements gathering phases and user acceptance testing phases. Coordinate DPM development activities across the DPM team members
  • Identify and document areas for process and data improvement as it relates to revenue and expense data from the distributing and production business units. Work with other members of the DPM team to implement these suggestions
28

Senior Data Analyst Resume Examples & Samples

  • Provide high-quality data analysis and analytical solutions that support business objectives
  • Identify actionable insights, suggest recommendations and influence the direction of the business by effectively communicating results to cross functional group
  • Present data with an intelligence awareness of the potential privacy risks of the insights
  • Use statistical techniques to create scalable solutions for real business problems
  • Establish scalable, efficient, automated processes for large-scale data analyses, model development, model validation and model implementation
  • Be aware of data sources within and without the company that could be used to complement current and future projects
  • Provide thought leadership and dependable execution on diverse projects
  • Identify emergent technology trends and opportunities for future growth and development
  • M.S. or Ph. D. in a relevant field, such as Applied Math, Statistics, Computer Science, Physics, Economics, Electrical Engineering, or Bioinformatics
  • Possesses excellent numeracy and understanding of advanced analytical techniques
  • Versed in statistical analysis packages, e.g. SAS, R, RAT, SPSS
  • Demonstrated experience in Data management tools; relational databases e.g. Oracle, Teradata, SQL Server), Data Manipulation tools, e.g. DataStage, Informatica
  • Working knowledge of Big Data/Analytical technologies, e.g. Hadoop, MapReduce, MongoDB, Oracle Exalytics
  • Superior communication and presentation skills, both written and oral
29

Senior Data Analyst Resume Examples & Samples

  • Financial Services experience, preferred
  • Strong use of databases/technology skills
  • Experience in customer journey analytics
  • Knowledge of tools, programming language and systems to automate, visualize customer journey
  • Must be skilled at extracting data from multiple databases & languages
  • Strong knowledge of working on databases, BI tools like BO, Cognos, Microstartegy and visual tools like Tableau
  • Expert knowledge of SAS and SQL programming
  • Must be able to extract data from appropriate sources in a complex warehousing environment; Requires in-depth knowledge of databases and business data elements
  • Must be able to perform complex data processing (e.g. merging, sorting, data transformations) using SAS, SQL, or other ETL tools on PC
  • Experience working with very large data sets (Big data) and extracting meaning and insights from this data
  • Demonstrates an intermediate to advanced ability to perform mathematical calculations and analysis
  • Must be able to use a customer centric approach in all work, and be able to relate tactics to overarching strategy
  • Candidate must possess good communication and interpersonal skills in order to interact with various levels and functional groups
  • Must be proactive, flexible and adaptable, as priorities can change quickly in a fast paced environment
  • Must be excellent at managing time and projects, and mitigate project risks effectively
  • Must be willing to take initiative and share ideas openly with Engagement Lead and other team members
  • Can develop and produce routine and non-routine reports and analysis of intermediate to complex scope
  • Interpret reports, providing analytical commentary and recommendations for change through actionable insights which drive measurable results
  • Advanced: Excel, Word, PowerPoint
  • Basic: Access, Visio, Project
  • Participates in interview, hiring activities and decision making process
  • Passionate communicator, able to clearly articulate
  • Provide support and guidance to other team members
30

Senior Data Analyst Resume Examples & Samples

  • Support business partners in solving the manufacturing process or supply chain challenges through the simulation work
  • Develop and deploy new predictive and prescriptive analytics software and processes
  • Collaborate with design, logistics, manufacturing, purchasing and supply chain groups
  • Exhibit strong planning and organization, outstanding initiative, and a comprehensive knowledge of Caterpillar Inc., its products and services; its internal systems, processes, and procedures; and the external environment in which it competes
  • Applicants must have a Master’s degree in Mechanical Engineering or Industrial Engineering from an accredited program with at least 3 years of industry experience in process optimization, design exploration technology, and statistics or data mining
  • At least 2 year of industry experience in applying discrete event simulation for logistics, test or manufacturing facility
  • Applicants must be proficient with Python, R or similar data mining language
  • Applicants must be proficient with Flexsim or similar discrete event simulation package
  • Applicants must have good knowledge of manufacturing processes, operation and supply chain
  • Applicants must be proficient with Design of Experiment techniques
  • Proficient with MS Access or similar relational database and SQL
  • Proficient with Tableau or similar business intelligence visualization package
  • Familiar with algebraic optimization algorithms such as linear and integer programming
  • Familiar with earthmoving industry and its products and processes
  • A self-starter
  • An effective communicator
31

Senior Data Analyst Resume Examples & Samples

  • Masters or advance degree preferred (statistics, computer science, data research), however additional years of relevant experience with a Bachelor’s degree will be considered
  • 4+ years transactional fraud, rules-based analytical work experience
  • Previous experience using Accertify platform and writing rules within preferred
  • Previous experience creating & modifying iLog rules preferred
32

Senior Data Analyst Resume Examples & Samples

  • Successfully completed Bachelor’s degree
  • Three years or more of development or similar experience
  • Three years or more of analytic or similar experience
  • Familiarity with Oracle, SQL Server and SAS
  • Preference for working in a team environment
  • Successfully completed MBA or related Master’s degree
  • Experience working with large-scale datasets
  • Familiarity with Big Data solutions (including Hadoop and Greenplum)
33

Senior Data Analyst Resume Examples & Samples

  • In this specific role you will be part of an integration team that explores the drivers of ABC and ABC Family digital video content consumption and works with the business to build and maintain statistical models in support of Ad Sales and Research
  • This position will dig into forecasts and historical data to provide business insights and ensure accurate and timely forecast updates of ad inventory
  • Experience with SAS toolset and programming
  • Experience with data mining and building insights using large data sets
  • Experience translating complex problems and solutions to all levels of an organization
  • Ability to develop clear and concise thoughts into proposals, recommendations and findings
  • Proficiency acquiring, organizing, cleansing and manipulating large amounts of data
  • Demonstrated experience performing exploratory and quantitative analysis
  • Experience with advanced modeling and data mining techniques
  • Four plus years experience with SAS tools (e.g., Base, Enterprise Guide, Enterprise Miner, etc.)
  • Four plus years experience with SQL
  • Previous experience working with digital media data
  • Knowledge of granular digital usage and delivery data (e.g., Omniture, DoubleClick, FreeWheel, etc.)
  • Bachelor's degree in a quantitative field or equivalent
34

Senior Data Analyst Resume Examples & Samples

  • Provide unified analyses of media, social, website and other data from sources such as ad servers, social listening and tracking tools, web analytic tools, client databases and third party data providers
  • Regularly use SAS and SPSS software for analysis and Keynote or similar software to present
  • Provide modeling, datamining and statistical analysis, as required on accounts
  • Develop data capture business requirements, including page tagging recommendations and hierarchy
  • Stay current with client and industry benchmarks
  • Work closely with account team to make specific and actionable client recommendations
  • Foster relationships with Account, Production, UX, Media, Creative and Technology teams
  • Assist in delivering tracking analysis and reports to support client campaigns, programs, and platforms
  • Recommend marketing tests and solutions as needed
  • Deliver models and other advanced statistical solutions to client business case and marketing issues
  • Assist analytics team in developing tracking and reporting requirements, particularly web analytics, social media, paid media
  • Collaborate and work well with others
  • Contribute to increasing the level of innovation in data, analytics and CRM at the agency
  • 3 years + experience in a related role
  • Strong analytical skills, must be proficient in analyzing and interpreting internet-related data from standard software packages, SAS and client databases
  • Experience with web analytics packages such as Google Analytics, Omniture and Webtrends
  • Expert user of Excel, SAS and SPSS
  • Solid understanding of the fundamentals of digital advertising and social media
  • Role requires the ability to write clear and concise presentations for client summarizing data insights, outcomes and implications in straight-forward and enlightening way for clients
  • Agency background with interactive and/or direct marketing experienced preferred
  • Data visualization experience a plus
35

Senior Data Analyst Resume Examples & Samples

  • Support the global management of Client reference data for Capital Markets
  • Provide robust data analysis and subject matter expertise that supports daily operations and enterprise initiatives
  • Interface with internal and external clients and vendors as they relate to the client data management
  • Solid understanding of data management practices
  • 4+ years of data management experience in a similar role within the investment industry
  • Advanced Excel Skills
  • Ability to write and create advanced formulas using VLOOKUP, Arrays, Index and Match functions; debug and audit
  • Build macros using VBA (Visual Basic for Applications)
  • Ability to structure and present data for reporting using conditional formatting, tables and charting
  • Intermediate SQL skills
36

Senior Data Analyst Resume Examples & Samples

  • Work in a team environment and serve as technical/data subject matter expert for multiple business units and projects
  • Prepare analyses and presentations of service and product reviews, including risk and compliance exposure
  • Serve as a liaison/expert resource for both front office and technology business partners
  • Perform ad hoc analyses; participate in special projects
  • Research and document data sources and impacted targets creating end-to-end process rules & flows
  • Develop code and/or procedures for repeatable data retrievals summarize by desired groupings
  • Prepare analysis and presentation of periodic service and product results including metrics compared to quality targets
  • Recommend methods to improve the use of data within specified areas as well as across the enterprise
  • Mine data to perform ad hoc analysis and participate in cross functional special projects
  • Understand business process management and business requirements of the customers and be able to translate to BRDs, data mapping specs, and create business cases for UAT
  • Help to insure that the data governance standards are adhered to maintain and support data integrity
  • Help to insure that compliance initiatives are adhered to including storage of artifacts, traceability, version control and change control
  • Bachelor's degree in Computer Science, Actuarial Science, Finance, Math, Economics or related discipline required
  • 3-5 years of requisite experience
  • Minimum of 2 years’ experience working in business architecture
  • Technology proficiency in Visio, SQL, BI analysis/visualization tools, and MS Office products - Excel, Power Point, Word and Access
  • Demonstrated ability in data profiling/data forensics and lineage mapping, identifying and summarizing financial data and service delivery methods to generate business insights
  • Effective verbal, written and presentation skills. Ability to “tell the story” associated with analysis for business partners at all levels of the organization
  • Master’s degree desirable
  • Experienced in data mining and dashboarding
  • Experienced in financial services industry, preferably in an Asset Management capacity
  • Skilled at writing code and SQL queries; familiarity with data quality/reconciliation tools desirable
  • Flexible and adaptable to fast paced, changing environments; detail oriented and driven
37

Senior Data Analyst Resume Examples & Samples

  • Manage and execute projects that are analytical in nature
  • Develop analysis with related information and analytics and provide insights and commentary to executive level management that provides a basis for action
  • Work with large amounts of data and analyze it to find conclusions
  • Communicate complex ideas and translate data into an understandable document. You will need to be able to write and speak clearly and effectively and be able to create and present your own presentations to an executive team
  • Bachelor's degree in Business, Economics, Finance or similar required, MBA strongly preferred
  • 7+ years experience performing business or operational analytical functions
  • Advanced to Expert level Excel, Access or SQL skills
  • Advanced to Expert level PowerPoint skills
  • Demonstrated financial modeling experience
  • Financial Services or Broker/Dealer industry experience strongly preferred
  • Business Case Analysis development and/or consulting experience is a plus
  • Ability to evaluate and provide solutions to complex situations and problems
  • Very strong analytical skills coupled with effective verbal and written communication ability
  • Effective team player
  • Desire to learn and grow as well as help others learn and grow
  • Ability to present complex information in a clear and concise way
  • Enthusiastic, positive attitude
  • Customer service and / or operations knowledge or experience is a plus
  • Demonstrated ability to interact with and influence senior leaders
38

Senior Data Analyst Resume Examples & Samples

  • Take part in all activities associated with the measurement, analysis and reporting of relevant products and platforms
  • Execute sophisticated quantitative analyses that translates data into actionable items and projects
  • Interpret, document and present data-driven commercial insights to support business decisions relating to the performance of the platform and the products that comprise the platform
  • Using analytics to identify inefficiencies in the current business model and implement in conjunction with relevant managers solutions to these inefficiencies
  • Interpret, document and present data-driven commercial insights to support business decisions relating to the management of clients so as to ensure increased longevity, transactional behaviour and profitability
  • Create new metrics to measure behaviour relevant to the channel covering areas such as acquisition, conversion, retention and reactivation
  • Communicate directly with other business leads and senior managers with a view to educating them about the data behind their business decisions and implementing change
39

Senior Data Analyst Resume Examples & Samples

  • 30 %: Data Collection
  • 40 %: Data Analysis and Report Production
  • 30 %: Special Projects
  • Prefer 3+ years of experience in areas such as risk/portfolio management and analysis, finance/accounting, information systems, real estate industry (sales, appraisal services, etc.), retail/commercial lending
  • Strong analytical skills and knowledge of real estate, loans, leases, securities, and/or derivatives required
40

Senior Data Analyst Resume Examples & Samples

  • Responsible for designing, modeling and supporting enterprise data modeling, primarily within their Domain
  • Understands, interprets and documents the data needs of the end-user community. Designs and supports components of Domain data to support business data needs
  • Develops and maintains an integrated logical data model, minimizing data element redundancy and maximizing the compatibility and usefulness of data
  • Partners with DBAs to ensure that the physical data model is consistent with the logical data model
  • Provides design logic for the development of data management standards, policies, and procedures
  • Promotes the principles of data resource management and data sharing, reuse of databases and single source data strategy
  • Implements data management processes according to guidelines and standards
  • Designs operational data stores and data marts
  • Proposes solutions that improve infrastructure functionality and performance
  • Responsible for adhering to applications security procedures, change control guidelines and Sarbanes-Oxley IT and business requirements
  • Bachelor's degree or equivalent work experience defined as 3 to 5 years
  • 4 or more years of relevant IT work experience
41

Senior Data Analyst Resume Examples & Samples

  • Proven track record of delivering commercially beneficial insights and analytics strategies to large businesses
  • Numerically brilliant – both from a commercial and analytics perspective
  • Strong data manipulation skills – ability to handle and process large data sets
  • Demonstrable experience with Predictive Analytics, Econometrics, Forecasting, Segmentation, Cluster analysis as well as traditional large-scale data warehouse driven analytics
  • Demonstrable experience of SAS, R and SQL with compelling track record of projects and results. Experience and expertise of SAS Demand Forecasting a plus
  • Strong analysis skills – ability to extract key drivers from a vast variety of data and highlight insights, gaps, opportunities and recommendations
  • Strong communication skills - effectiveness and versatility in oral presentation as well as solid business writing skills
  • Good understanding of business intelligence, digital marketing, testing and optimisation
  • Knowledge of digital media analytics and any web analytics tool (Omniture, Core Metrics or Google Analytics) preferred
  • Knowledge/experience with any data visualization/reporting tool (Tableau, Qlikview, Spotfire, Microstrategy etc.) preferred
42

Senior Data Analyst Resume Examples & Samples

  • Define, design and Deploy and adapt core data quality and governance processes and metrics. Trend issues, metrics and data quality errors for policy and standards
  • Educate and influence all levels stakeholders on institutionalization of data quality solutions
  • Conduct data profiling, analyze and summarize profiling results, and present profiling results to multiple business / technical stakeholders
  • Recommend business rules that can then later be integrated into Enterprise Data Quality Solutions
  • Develop / configure DQ tools (IDQ) for enabling prioritized DQ rules
  • Evaluate, and document business rules and data quality issues for areas prioritized by WDPR
  • Analyzes sources, targets and defines data flows and data management dependencies (Data Governance, Metadata Management, Data Quality)
  • Produces detailed integration specifications, typically as source-to-target mappings, consistent with the high-level DQ integration design specifications
  • Responsible for collaborating with the business analyst and integration designer to resolve gaps between the business requirements and DQ integration design specifications
  • Validate that the business requirements are complete, consistent, concise, and achievable
  • Coordinates with data modelers, integration developers and DBA’s implementing the solution
  • Should have designed & developed multiple data cleansing and standardization scenarios using mappings & industry standard products
  • Understanding of Oracle, Teradata database technologies and hands on knowledge of SQL
  • Enterprise data management, integration, analytical, and data quality skills
  • Extensive experience in defining, developing and managing data management solutions for Hospitality / entertainment industry
  • Leading requirement analysis, system analysis, design, development, testing, implementation
  • Managing a Tier 1 (mission critical) technical environment including; driving continuous improvement through managed metrics and change management
  • Cross functional / organizational stakeholder management (business and technical)
  • Owning and managing issue / conflict resolution; demonstrated problem solving and decision making skills
  • Working effectively in a fast-paced environment as part of a high-performing research, delivery and sustainment team
  • Communication - demonstrated strong written and verbal communication skills
  • Interpersonal skills for building and managing strong virtual / physical team focused on delivering business results
  • Hands on experience with AGILE solution delivery methodology
  • Minimum 7 years of data management solution delivery and maintenance of, business application and data management experience
  • Bachelor’s degree in Computer Science, Management Information Systems or related field or equivalent
43

Senior Data Analyst Resume Examples & Samples

  • Demonstrable experience with Customer Analytics eg Predictive, Segmentation/Cluster analysis. Econometrics/Forecasting exp welcomed
  • Demonstrable experience of SAS and SQL with compelling track record of projects and results. Experience and expertise of SAS Demand Forecasting a plus
  • Knowledge/experience with any data visualization/reporting tool (Tableau, Qlikview, Spotfire, Microstrategy etc.) preferred as well as MS PowerPoint
44

Senior Data Analyst Resume Examples & Samples

  • Development of senior management presentations and facilitation of initiative approvals
  • Coordination with external stakeholders to ensure adherence to stated targets and implementation of new policies and procedures
  • Responsible for the overall project reporting (pipeline, status) and ability to analyze real estate data and being able to interpret and present findings to senior management
  • Must be assertive and diligent in obtaining accurate results
  • Track and Report CRS Productivity and Reserve schedules
  • Must have 4+ years of experience in a finance / accounting related function
  • Must have working knowledge of basic GAAP accounting
  • Demonstrated leadership skills – proven ability to lead teams through changes in systems, processes and procedures, while successfully achieving key goals and objectives
45

Senior Data Analyst Resume Examples & Samples

  • 10+ years of experience in financial industry & information technology
  • 7+ years of experience as data analyst in investment banking
  • Strong data analysis and data profiling skills
  • Strong SQL writing against DB2, Sybase and other RDBMS
  • Subject matter expertise in key data concepts like Trades, Positions, Allocation, Client, Account etc
  • Experience in documenting data flow diagrams, ETL Mappings, Data Dictionary, Metadata and Data Quality rules
  • Strong collaboration and communication skills-
  • Experience in an Enterprise Data Architecture environment and has end to end understanding of data processing life cycle
  • Understanding of data model and data warehouse concepts
  • Knowledge of Informatica ETLtools, Informatica DQ tools, Unix and Autoys is plus but not required
  • Compliance domain experience and understanding of compliance process will be a plus
  • Self-starter with the initiative to identify and act upon opportunities with little to no direction
  • Support business analysts and developers with data subject expertise, query building and optimization
  • Translate business requirements into ETL design specifications
  • Write and maintain ETL mapping specifications for development team
  • Identify and document DQ rules and metrics
  • Interact closely with Business Analysis team, ETL team and BI Reporting teams to ensure understanding of proper use of data
  • Coordinate and conduct impact analysis because of upstream data changes
  • Knowledge of financial services
  • Strong SQL writing
  • Strong analytical, profiling and troubleshooting skills
  • Informatica Data quality (IDQ)
  • Unix & Autosys
  • Power Designer or CA Erwin
  • BI/data visualization tools: Qlikview, Tableau or other
46

Senior Data Analyst Resume Examples & Samples

  • Data Quality – Identifies and produces regular or ad hoc reports on data quality issues and in-depth data analysis with requisite plans to remediate issues
  • Data Management requiring detailed subject matter expertise on the operations of all tools used in data stewardship tasks, including data repositories, data maintenance applications, reporting tools, and data quality issue tracking systems
  • Will work with IT Integrators to ensure that tools and data structures provide the functionality required to perform data management and data quality tasks
  • Root cause analysis of all data quality problems with follow-through to resolution
  • Understanding of data quality concepts and ability to drive quality initiatives
  • Experience of working in a high pressure support environment dealing with senior individuals on occasion
  • Knowledge of the Enterprise Architecture functions and a sound understanding of the IT functions required to support it
  • Understanding of data analytics and tools
  • Experience in working with Global Teams across Geographic locations
  • Experience of application/platform monitoring and knowledge management tools
  • Basic understanding of Microsoft SQL server/ SQL language
  • Windows/ Microsoft Office Suite
  • Ability to develop strong working relationships
  • Self-starter with ability to take the initiative and master new tasks quickly
  • Able to work independently, and as part of a team
  • Proactive problem solving experience, using judgment to make decisions where no clear precedent may exist
  • Strong organization and prioritization skills
  • A flexible approach to working hours
  • Good Attention to detail
  • Good English verbal & written communication, inter-personal and facilitation skills are essential to succeed in this position
  • College degree or professional 5 - 7 years' work experience
47

Senior Data Analyst Resume Examples & Samples

  • In lieu of a Master’s degree, or foreign equivalent, and three (3) years of professional experience, employer will accept a Bachelor's degree, or foreign equivalent, and five (5) years professional experience, post-baccalaureate and progressive in nature
  • Demonstrating Strong EQ (Be Aware) – Having a keen sense of self-awareness is the foundation of leadership at Adobe. Whether you’re an individual contributor or a people manager, you’re someone who’s empathetic and mindful of your impact on others
  • Selecting Talent (Be a Recruiter) – You’re a guardian and an ambassador for selecting talent at Adobe! You recommend and recruit only the best. You embrace diversity of ideas, experiences and working styles because you know that diverse teams drive better business results
  • Role Modeling Check-In (Be a Coach) – We don’t believe in annual reviews and rankings. That’s why, feedback flows constantly at Adobe. To succeed, you’ll meet frequently with your manager to receive ongoing feedback, set challenging performance expectations, and pursue continuous development opportunities
  • Scaling the Business (Be an Owner) – You approach your role as if you own the business. The buck stops with you. Your goal is to always deliver an exceptional customer experience by listening to feedback and continuously looking to improve efficiencies
48

Senior Data Analyst Resume Examples & Samples

  • Establish leading practices for key data and reporting processes, including validation, visualization, automation of processes for building reports, development of quality control procedures and documentation to enhance the performance of the organization
  • Develop complex queries in SQL Server to automate data validation efforts. Supervise and train a junior data analyst in the development of such queries
  • Work with the Audit Risk Analytics team to build reports for the Analytics efforts of the ARA team. Scope includes data preparation, data validation, designing efficient/interactive processes for report building, visualization, documentation and presenting to the ARA team of the results
  • Use modern reporting and visualization tools to help translate the results of models and metrics and other analytics outputs for the business audience Ability to think outside of the box and to learn new approaches to reporting business problems with a focus on the audience and implementability
  • Communicate progress, barriers, risks and benefits to the team and the partners, to achieve project success
  • Be proficient in SQL and a visualization tool (Tableau or Spotfire); a working knowledge of data manipulation in SAS is a plus
  • Ability to supervise a junior data analyst
  • 2-4 years experience working with data and visualization tools in a business context with some supervisory experience
49

Senior Data Analyst Resume Examples & Samples

  • 3+ years of relevant experience
  • Bachelor’s Degree in Computer Science, Computer/Systems Engineering, Economics, Mathematics, Statistics, or a related field
  • Experience analyzing and interpreting data, maintaining and managing large datasets and ensuring the integrity of data
  • Working knowledge of Access, Alteryx, Excel, SAS, SPSS, SQL queries, Tableau, VBA, and XML
50

Senior Data Analyst Resume Examples & Samples

  • Manage the planning, development and implementation of various projects and initiatives in support of the department and/or division. Develops project plans ensuring activities to be performed, estimated time frame and effort, and other pertinent information is covered. Manage the day-to-day project activities
  • Direct and monitor resources which may or may not include direct supervisory responsibilities, but rather participants’ project activities to ensure completion of project(s). Provide input to managers on project participants’ performance appraisals as requested
  • May be responsible on an individual basis for directing the most complex, critical and highly visible projects for division and/or bank wide in size. Will facilitate project meetings and publish meeting minutes. Tracks issues and resolution
  • Develop and produce complex ad hoc and automated departmental reports and spreadsheets to include but not limited to project or product strategy analysis, profitability, historical reporting, work flow analysis, and financial analysis
  • Research and gather business and financial information regarding business results. Perform complex analyses to support business decisions. Provide feedback to management regarding results. Make recommendations on findings to management
  • Design and implement complex and highly specialized PC based models to support business decisions, making recommendations to management based on research and financial analysis
  • Develop a thorough and expert understanding of the business and its functions, processes and operations
  • Keep abreast of business and market trends that may affect the business/department
  • Serve as a member of the OCA Reporting & Analysis team, with a focus on continuously optimizing the Complaint Management Program (CMP)
  • Primary owner of the Text Analytics model, and the keyword dictionaries to support the CMP programs
  • Responsible for leveraging Regulatory Taxonomy Heat Map model to identify potential areas of concern, and performing advanced analyses that require integration of multiple data sources and business partners to complete
  • Independently develop and direct a variety of more sophisticated fact-based analyses and ad hoc reports that aid Management in making decisions relating to Complaint data
  • Responsible for formally communicating to Senior Leadership the periodic results and findings from Complaint data reporting and analyses
  • Perform other assignments/projects as requested by management
  • Bachelor's Degree, or in lieu of a degree a minimum of 4 years work experience
  • Minimum seven (7) years relevant experience
  • Minimum two (2) years demonstrated data analysis experience
  • Advanced Microsoft Excel skills (ability to author macros, etc.)
  • Expertise in Data Visualization best practices
  • Seven (7) years banking industry experience preferred
  • Knowledge of, and experience with, business intelligence toolsets (i.e. Qlikview or Tableau) as well as database management principles via Structured Query Language (SQL)
  • Working knowledge of financial models
  • Ability to interact effectively with all levels of personnel
  • Excellent project management skills
51

Senior Data Analyst Resume Examples & Samples

  • Periodical management reporting and graphical presentation of data analysis with focus on a broad range of products such as accounts, credit cards, mortgages as well as product bundles and other banking services
  • Participating in product related projects to provide ad-hoc analysis and special deep dives in close collaboration with product managers
  • Preparing and designing data sets e.g. for creation of product- and portfolio analysis
  • Analyzing client behavior (client segmentation, discover patterns in data)
  • End-to-end accompanying of tactical and rule based (multi-channel) marketing campaigns
  • Supporting realization of pricing initiatives
  • Creating business cases for decision boards
52

Senior Data Analyst Resume Examples & Samples

  • Write queries and stored procedures in SQL, exports data into excel or csv files, reviews them for quality and data integrity, and send results to internal clients or external agencies
  • Develop complex SQL queries against various data and computer sources. Including complex Sub queries, correlated queries, and nested queries
  • Concisely summarize and communicate recommendations to various levels of management
  • Analyze and interpret data, producing clear and compelling reports for different audiences which may include graphs and charts of data developed by analyzing situations and/or data models from which answers can be obtained
  • Verify accuracy of data pulled and revises methods of data retrieval by following a standard process
  • Provide data and respond to questions to external groups/agencies/vendors
  • Propose report formats, including graphical presentations to effectively communicate meaningful data trends and relationships
  • Audit and document existing and new data structures and data flow processes; provide documentation and training to reporting application end users
  • Design and implement data quality monitoring reports, alerts, and processes
53

Senior Data Analyst Resume Examples & Samples

  • Work with partners across Digital functions and LOB’s to provide data driven insights in support Digital strategic direction and growth
  • Provide consultative support for Digital Product partners driven by fact-based findings
  • Evolve and refine measurement frameworks and KPIs for Online and Mobile Customer Measurement
  • Provide analysis and associated data visualization and story-telling
  • Collaborate within Digital Analytics to enhance the quality and value of team deliverables
  • Work with Data Services and Core Analytics partners to enhance overall performance of Digital Analytics team
  • 5+ years relevant experience analyzing online and mobile customer experiences
  • Demonstrated ability to define business KPIs and establish measurement frameworks
  • Hands on experience with behavioral and transactional analytics tools and techniques
  • Experience working with Business Intelligence (BI) platforms to deliver reports and scorecards
  • Experience with Tableau, Adobe Data Workbench, and SQL preferred
  • Ability to communicate effectively with executives, business partners, and technical resources in analytics and data management
  • Post MBA Strategy and/ or Management Consulting experience preferred
54

Senior Data Analyst Resume Examples & Samples

  • 5+ years of experience working with SQL Server Databases, and SQL; 5+ years of experience gathering business requirements
  • Bachelor's Degree in Quantitative / Computer Science or a related discipline
  • Certified Data Management Professional (CDMP)- Certification Programs from ICCP- Institute for the Certification of Computing Professionals
  • Knowledge of the Banking and Brokerage industry (products and services)
  • Understanding of database design and administration with AS400 Database knowledge of the Source System
  • Microsoft Office/Suite proficient (Outlook, Word, Excel, PowerPoint, Visio, etc.)
  • Superior mathematical skills
  • 15+ years of experience working In Data Issues analysis and Cleansing projects with progressively increasing responsibilities in Data Management
  • Certified Information Management Professional (CIMP)
  • Experience in Pension Administration or Financial Services
55

Senior Data Analyst Resume Examples & Samples

  • Providing oversight of regulatory, financial and post-exit contractual responsibilities
  • Managing risk, operations, systems, and records management
  • Identifying, developing, and managing analytics, including emerging trends and product demographics
  • Business Analysis Responsible for conducting quality assurance reviews, analyzing business performance or experience and assisting in the completion of analysis projects, such as
  • Validating service level agreement reports from TPAs for compliance with terms of agreements and obligations
  • Assisting in developing test plans and performing operational reviews of TPAs
  • Providing information and analysis to facilitate monitoring and drive the decision making process for internal and external customers
  • Operational Product Support - Produce standardized reports, statements and invoices to support various products and subsidiaries, including
  • Preparing transition service invoicing for successor owners of the business
  • Preparing premium billing and anniversary statements to customers
  • Responding to mortgage lien release requests and demutualization check reissues for Canadian customers
  • Maintaining process inventories for management monitoring
  • Regulatory Reporting File annual, quarterly and monthly reports with state insurance department and regulatory/government agencies. Assist with complying with new laws and regulations, such as the Affordable Care Act for health insurance
  • Additional Work As Required
  • Strong Microsoft Office Word and Excel skills for data manipulation and analysis
  • Ability to understand business processes, analyze data and follow through to resolve issues
  • Self motivated and proactive, with attention to detail, deadlines, and good quality control practices
  • Ability to foster and build relationships internally and externally across multiple departments
  • Ability to manage ad-hoc projects and scheduled assignments simultaneously
  • Undergraduate degree preferred
  • Two plus years of data analysis/operational data experience desired
56

Senior Data Analyst Resume Examples & Samples

  • Create and maintain high-level reporting systems using MS Access
  • Develop and enforce database administration and user standards and procedures as well as oversee user security and database access
  • Collaborate with business process owners to define requirements, then design, develop and deploy VBA applications to meet these requirements
  • Troubleshoot and maintain various MS Access databases developed and utilized by our team to ensure optimal performance and data reliability at all times
  • Complete various data-related projects as directed by the manager
  • Evaluate, delegate and monitor completion of client or internal requests
  • Complete and/or support more junior members in completing one or more of the following: provide second-level quality review of data processed by other team members; guide new clients through implementations processes from a data perspective; program and develop MS Access databases; improve and maintain data security; perform User Acceptance Testing of software releases; and participate in requirements-gathering during software development
  • Demonstrate strong analytical skills as well as confident decision-making ability
  • Be responsible for developing tools to streamline processing of data files being loaded to the system, reviewing data and determining its usability, and transferring this knowledge to less experienced members of the team
  • Be responsible for supervising the work of and supporting 3-4 individuals
  • Work directly under the manager of the team, and demonstrate ability to act independently and assign tasks based on the skill sets of the applicable individuals
  • A bachelor's degree with an emphasis in accounting, finance, or related field and a minimum of 2 years of related work experience; or a graduate degree and approximately 1-2 years of related work experience
  • Ability to train others on XML file transfer methods
  • Familiarity with tax-related concepts
  • Excellent verbal and written communication skills, organizational skills and strong analytical skills
  • Ability to thrive in a team environment
  • Capacity to work independently and effectively on a variety of tasks at the same time
  • Commitment to following through on all client and internal requests
57

Senior Data Analyst Resume Examples & Samples

  • Interface with internal and external clients and vendors as they relate to client data management
  • Completion of an applicable university degree and/or relevant professional designation is require
  • Experience with Excel Fuzzy Lookup
58

Senior Data Analyst Resume Examples & Samples

  • Elicit and document business data requirements, risks and priorities to establish a clear understanding of the stakeholders’ environment in support of solution development
  • Translate business requirements into source / target data mapping documents
  • Profile and evaluate existing data using various sources and methods (SQL, EBCDIC, XML, etc.)
  • Document environmental knowledge and leverage existing knowledge repositories
  • Ensure the traceability of individual requirements and adherence to the defined requirements management process
  • Analyze business requirements and perform current/target/gap/impact analyses
  • Articulate business needs, gaps, impact across all areas and proposals to close gaps
  • Validate that the proposed/designed solution(s) and associated testing approach will support meeting the articulated business requirements
  • Prepare documents such as expected benefits, gap analysis, use cases, models, current and proposes process, workflows, data flows, implementation plans and end user guides in accordance with standards and methodologies
  • Identify/escalate conflicts, issues and changes in order to appropriately manage scope
  • Support achieving consensus on scope changes and achieve signoff by all stakeholders
  • Investigate, evaluate and support prioritization of client requests for new or existing solutions
  • Assist in defining business criteria for prioritization, and other key decisions (e.g., product evaluation or build vs. buy decisions)
  • 3-5 years of data analyst / business analyst experience in the financial services industry
  • Knowledge of pension / retirement recordkeeping industry
  • Bachelor’s degree in computer science, information systems or business related field
  • Experience working with dimensional data models and data integration concepts a plus
  • 1+ years of prior experience with Hadoop application architecture a plus
  • 1+ years of prior experience with Omniplus and/or Siebel a plus
59

Senior Data Analyst Resume Examples & Samples

  • Bachelors degree or equivalent experience required
  • Minimum 3-5 years experience in data analysis or related field
  • Excellent analytical and problem solving skills with the ability to communicate analytical findings clearly and effectively
  • Ability to drive positive change
  • Ability to establish and build relationships across all levels and functions of the organization
  • Strong communication skills with attention to detail
  • Advanced Microsoft Excel and Access skills
  • Experience with Tableau, Cognos, Business Objects and other data management tools is preferred
  • Experience with relational databases and knowledge of query tools and statistical software is plus
60

Senior Data Analyst Resume Examples & Samples

  • Able to pose hypotheses, challenge assumptions, and uncover best practices in data analysis
  • Discover and manipulate data using a variety of analytical tools
  • Excellent IT skills, including Knowledge of DB2, PostgreSQL and Jasper Reports or equivalent
  • Able to write advanced SQL code
61

Senior Data Analyst Resume Examples & Samples

  • Define and implement the people KPI framework in collaboration with the eHR department as well as the Finance department to generate actionable insights for management and provide a holistic approach towards reporting
  • Act as a vanguard for eHR and the HR group by providing a filter for incoming reporting needs
  • Develop and implement a dashboard for HR strategy
  • Link people and capabilities data to the company's sales and finance data
  • Understand the business issues and translate them into a data task
  • Capable of presenting data back to the business in an easy-to-understand way
  • Interpret human capital data and trends to ensure a mission-ready workforce
  • Develop and maintain human capital data assets, reporting and management dashboards and analytical tools
  • Conduct employee surveys and organisational assessments to support data-driven management strategies and strategic workforce planning objectives
  • Identify, join and analyse disparate data sets and prepare briefings/recommendations to be presented at all management levels
  • Possess an understanding of what information and products are valuable to senior executives, and how to best engage senior executives
  • Excellent interpersonal skills, effective networking and forming relationships (especially towards other Data Analysts), interpersonal relationship development
  • Ability to communicate effectively orally and in writing, excellent communication skills concerning the translation of business needs into data and vice versa
  • Detail-oriented knowledge as well as a broad understanding of the business
  • Ability to critically reflect and consolidate the demands of reporting, as well as the data problems of in-house consulting
  • Strong analytical and conceptual thinking
  • Ability to critically analyse an issue using database evidence
  • Ability to analyse processes/issues and write reports
  • Data analyst or data scientist capabilities
  • Mix of analytical and coding skills and creativity and business know-how
  • Ability and proficiency to extract and analyse data using a statistical tool (e.g. SPSS or SAS) and Excel
  • Broad experience in the support of HR-oriented projects, such as strategic workforce planning, engagement surveys or diversity/female leadership quota
  • Organisational representation and customer orientation
  • Proficiency in writing non-technical reports and analyses
  • Aptitude for data collection, numbers and attention to detail
  • Bachelor's, Master's or PhD in industrial or organisational psychology or HR (minimum GPA of 3.0 or better on a 4-point scale is required)
  • Work experience requirements: Bachelor's degree – 2 to 3 years, Master's degree – 2 to 4 years or PhD – 1 to 2 years
  • Internship or studies abroad
  • Experience in fields involving statistics; mathematics; computer or mathematical programming; survey research, design, and analysis; and modelling
  • Experience in: human capital metrics and/or analytics, finance, accounting, compensation or an alternative quantitative function, inferential statistics, data visualisation, product development and testing, organisational development or internal consulting, Visual Basic programming, presentation and briefing techniques, manpower management background (manpower systems and processes, oversight organisations), knowledge of the Intelligence Community; measurement concepts/principles
  • Proficiency with MS Office (Excel, Word, and PowerPoint)
  • Tools: Tableau, SPSS, Microsoft Access or other relational databases, Lawson, Cognos
62

Senior Data Analyst Resume Examples & Samples

  • Collect and analyze data to evaluate the performance of Blizzard web and mobile websites, mobile apps using tools like Google Analytics and in-house data systems
  • Create, maintain, and propagate custom and recurring analytics reports and dashboards delivering insights on site performance, new features, user behavior, and testing
  • Partner with program management, design, and engineering leads to define KPIs, metrics and analytics strategy for new and existing products. Participate in preparing, documenting and analyzing multivariate and A/B testing projects
  • Present your research findings to teams, stakeholders, and executives to help support decision making
  • Work with development teams to implement tracking tags and troubleshoot issues related to tracking and reporting
  • Train and mentor team members in the use of analytics tracking tools and services (self-service model)
  • Champion and advocate for the use of data and research in project execution across web and mobile
  • Portfolio
63

Senior Data Analyst Resume Examples & Samples

  • Create product- and portfolio analysis
  • Generating ideas based on data/statistical analysis
  • Participating in projects to provide ad-hoc analysis and special deep dives in close collaboration with product managers
  • Analyze client behavior (client segmentation, discover patterns in data)
  • Data selection for tactical and rule based (multi-channel) marketing campaigns
  • Support realization of pricing initiatives
  • Creation of business cases for decision boards
64

Senior Data Analyst Resume Examples & Samples

  • Work with TLT initiative teams to use their analytics skill set to identify and quantify revenue, margin, and SG&A improvements and other opportunities for key projects and initiatives
  • Will build predictive and prescriptive data models and then present the business case for the value of these models. Some examples include predicting store performance after proposed operational changes, cross-selling opportunities between store banners and specifying potential savings after consolidating
  • Provides analysis to working teams on TLT initiatives: Identify synergy values; Validate business cases; Provide ongoing analysis in current work steams
  • Produce periodic and ad-hoc reporting as needed to support integration-related analyses
  • Assist with creation of executive committee presentations
  • Collect and analyze business and financial data to support the IMO in refining new value creation initiatives that support organizational goals
  • Engage key stakeholders and clearly defines deliverables
  • Consistent regular scheduled attendance is considered an essential function of this job
65

Senior Data Analyst Resume Examples & Samples

  • PL/SQL
  • Prior experience working in a system analytics and/or data warehousing environment is required
  • Bachelor's Degree in field related to role
  • Experience in business writing or creative writing desired
  • Experience with financial analysis
  • MS Office Suite including Access
66

Senior Data Analyst Resume Examples & Samples

  • Identifying, analyzing and interpreting data to meet business requirements and facilitate development of next generation surveillance algorithms
  • Building knowledge and understanding of transaction, reference and market data for specific asset classes
  • Liaising with project/ development teams and providing support during program and project life cycles
  • Interpreting data and analyzing results using statistical techniques to identify trends or patterns in complex data sets
  • Identifying and documenting Critical Data Elements used in Surveillances, Research and Analysis etc
  • Defining data quality rules for profiling for Critical Data Elements for data concepts like Positions, Trades, Reference Data
  • Providing Level 3 support as required to resolve data issues and gaps
  • Understanding current data processes and business requirements to help determine new and innovative ways to provide end-to-end solutions for compliance surveillance activities
  • Experience as a data analyst in financial markets
  • Good understanding of capital markets and trade life cycle and understanding of key data concepts like Trades, Positions, Allocation, Client, Account etc
  • Strong knowledge of and experience with databases, SQL and analytical tools like Business Objects, Microstrategy etc
  • Technical expertise in defining data models and data mining
  • Strong analytical skills with ability to collect, analyze and disseminate large volumes of data with attention to detail, accuracy, and data quality
  • Experience working with BIGDATA technology, relational DBMS,'(tm)s like Sybase, Oracle, SQL Server, Sybase, SQL etc
  • Good understanding of database validations, constraints, syntax and data types
  • Ability to communicate clearly and concisely, both orally and in writing with business and technology stakeholders
  • Familiarity with project management, software development life cycle, excellent written and oral communication skills
  • Project experience on a production implementation of Hadoop with massive data volumes
  • Opportunity to work on the universe of traded products / assets across Citi’s Capital Markets businesses globally
  • Potential to contribute to projects involving complex feature-based data algorithms and machine learning
  • Exposure to surveillance functions in a dynamic and challenging industry with regular close collaboration with our surveillance portfolio clients
  • A team with a win-together/lose-together attitude and strong sense of identity and positive culture
67

Senior Data Analyst Resume Examples & Samples

  • Assist manager in planning, development and execution of Microsoft SQL Server and Tableau based data analysis procedures
  • Consult with audit teams to provide data analysis support and guidance during audit engagement planning and execution
  • Follow development and execution methodologies. Create sustainable and repeatable data analytics leveraging Microsoft SQL Server and Tableau platforms
  • Assist in the documentation of functional, technical and source data requirements
  • Act as project lead for automation and audit support projects. Inform manager, wider audit team, and Senior Management of project status, issues, risks and results
  • Interact with management and business partners to identify appropriate data elements required for analytics. Apply professional skepticism when assessing data sources and validate completeness and accuracy of data received
  • Provide support to the existing data analytics environment, including periodic data refresh, troubleshoot errors, fix bugs, and implement minor enhancements
  • Demonstrate understanding of Visa's and Internal Audit's strategic vision, be a self-starter, and be responsible for actions promoting this strategic vision
  • 5-8 years of data analysis experience, preferably leveraging Microsoft SQL Server or Tableau tools
  • Demonstrated knowledge of the data analysis process and experience with the application of data analytics in the assessment of IT and business processes
  • Experience with Microsoft SQL Server (SSMS, SSIS and SSRS), SQL/T-SQL Query Language and Tableau (or like tools) preferred
  • Experience in developing data analytics and dashboards
  • Strong time and project management skills
  • Good analytical, organizational and presentation skills
  • Ability to travel domestically and internationally approximately 10%
  • MCSA and MCSE certifications in SQL Server, or Tableau Desktop Certification are highly desirable
  • 3-5 years of internal audit experience preferred
  • CISA and / or CISSP certifications a plus
68

Senior Data Analyst Resume Examples & Samples

  • Design, lead, and execute analysis and effectively communicate insights
  • Present findings of your analyses to mid-level managers and executives
  • Gather and document analytics needs and reporting requirements
  • Help answer the thorniest business questions including ones we didn't think we had
  • Lead the development of automated reporting and dashboard prototypes for business users
  • Identify data requirements for & collaborate closely with business stakeholders, including Product Managers and Data Warehouse engineers
69

Senior Data Analyst Resume Examples & Samples

  • Work to tight deadlines and short turnaround times
  • Elicit requirements from a various stakeholders and to distinguish between requests and underlying needs
  • Work with large and complex data from a variety of sources across numerous database platforms
  • Be able to work in collaboration with other analysts to balance competing priorities and deliver insightful analytics
  • Advanced SQLknowledge
  • Experience with database platforms Teradata, Oracle, SQL Server and MS Access highly regarded
  • Advanced knowledge of Microsoft Excel
  • Experience within Financial Advice is highly favourable
70

Senior Data Analyst Resume Examples & Samples

  • Provides weekly, monthly, and annual reports. Provides special reports and analyses to support the business as necessary
  • Supports efforts to maintain accurate master data. Extracts data and provides analysis of master and transactional data
  • Conduct regular audits to ensure data integrity
  • Identifies issues, analyzes available data and information, and recommends changes to management
  • Creates and maintains multiple operational reporting tools
  • Provides analytical support of actual results against budget and feasibility of proposed business strategies
  • Consolidates data reports and delivers to help drive data-based strategic decision making
  • Provides analysis prior to and following any recommended changes
  • May create and maintain compliance reports that identify discrepancies within the Company's billing systems
  • May conduct regular HRIS maintenance and audits to ensure the quality of data integrity
  • May ensure that all employee records in the HRIS databases are accurately updated in a timely fashion
  • Provides user feedback to management and helps influence future systems enhancements
  • May provide guidance and direction on complex HRIS transactions
  • Ensures accuracy of data through partnerships with team members. Provides day-to-day validation and spot checks
  • May prepare reports to be used by other departments to correct billing issues
  • Generally requires 5-7 years related experience
71

Senior Data Analyst Resume Examples & Samples

  • Performs exploratory data analysis and statistical modeling in support of ongoing lines of research, aid in the refinement of existing tools and development of new tools, and fulfill ad hoc requests
  • Works with a mix of data types (e.g., aggregate metrics, consumer-level data) employing creativity and flexible problem solving skills to address a variety of marketing questions
  • Works independently and with other marketing professionals (Strategy, Account, Creative, Research) to express marketing and media questions as manageable analytical problems leading to valued decision support
  • Plans, executes and effectively communicates the results of analyses to translate complex statistical results into insights and actionable business decisions
  • Develop hypotheses, analytic designs, business cases and data requirements; Identify data definition and quality issues and help provide appropriate resolution
  • Provides counsel to other analysts, Agency personnel from various disciplines (Strategy, Account, Creative, Technology, Production) and clients on how to employ statistical analysis to improve marketing results
  • Strong background in statistical modeling and forecasting: some mix of expertise in generalized linear modeling, time-series forecasting, decision trees, machine learning, consumer segmentation, etc
  • Proficiency in SAS or SPSS statistical packages, Microsoft Suite (Excel, PowerPoint, Word). Other software and language experience a plus. Ability to learn and employ new software and methodologies
  • Experience developing and working with small to very large structured and unstructured data sets to develop analytic data files and to map results back into production environments
  • Strong intellectual curiosity, critical thinking, and a passion for analytics
  • Ability to work in fast-paced marketing and advertising environment both independently and collaboratively
  • Ability to clearly communicate technical concepts in verbal, written, and presentation form to non-technical audiences
  • Experience in the automotive industry a plus
  • Graduate degree preferred or Bachelor’s degree with applicable skills and experience. Discipline is flexible but role requires strong quantitative ability and knowledge of the social sciences
  • At least five years of applicable experience using SAS, SPSS and other tools for predictive and descriptive model development
72

Senior Data Analyst Resume Examples & Samples

  • Data gathering, preparation, transformation and model development using tools such as SAS and MS Excel
  • Design and Implement data models on an as needed basis
  • Manage project workload and ensure that organizational data policy and standards are adhered too
  • Provide on-going communications on project status and systems restrictions
  • Act as the Global Compliance subject matter expert (SME) on "Big Data" technology projects
  • Contribute to the ongoing development of the team by sharing information, knowledge, expertise and lessons learned on a regular basis
  • Ensure high quality work and maintenance of standards within own area of responsibility
  • Participate in project committees as necessary to provide guidance and support for technology and act as a key contact for specific business processes, projects or procedures
  • Data Visualization and Analytic Diagram creation on as needed basis
  • Develop data procedures and documentation as required
  • Provide assistance, support and management of other projects as required
  • Establish and maintain strong relationships with key internal and external partners including business and enterprise unit compliance groups', OCDO, Enterprise Data Stewarts and other key stakeholders
73

Senior Data Analyst Resume Examples & Samples

  • Design and execute data processing tasks, including collecting source data, manipulating it as per requirements, and transmitting to third parties
  • Verify accuracy and integrity of databases, files, and end products (direct mail, email, etc.), both programmatically and via visual inspection
  • Respond to inquiries from clients, call center, and Account regarding participation, billing, and fulfillment
  • Perform data quality control processes
  • Design and execute data processing procedures to handle above tasks
  • Perform ad hoc analyses, queries, or data manipulations
  • Run a variety of reports and verify their accuracy
  • Perform billing operations for the program
  • Handle suppressions at multiple levels
  • Maintain lookup tables and pre-load files, including synchronizing them with data from third parties
  • Review weekly random sample proofs
  • Generate and maintain seed lists
  • Identify root cause for data-related issues from client, print center, and call center
  • New development / enhancements
  • Liaise with development, including formulation of system enhancement specifications and testing modifications
  • Maintain business rules for print, email, and web sites as appropriate
  • Design report templates for developers to program
  • Develop reports for clients, Account, development, Call Center, and Data team use
  • Develop and maintain imaging instructions for print center
  • Test web site to ensure enhancements/new projects are manipulating and storing data accurately
  • Create fulfillment files for proofs
  • Create test files to test business rule and content changes
  • Review results of tests
  • Assist in other database marketing services work as necessar
  • Recommend measures to improve work process methods, equipment performance, and quality of product, as appropriate
  • Ability to work independently in a team atmosphere
  • Strong analytical/math, presentation, and writing skills
  • Ability to think logically/strong deductive reasoning
  • Ability to understand and use quantitative and qualitative research studies
  • Detail Oriented in a multi-task environment
  • Bachelor’s degree or equivalent experience is required
  • Minimum Two (2) years of relevant data analysis experience is required
  • MS Excel experience utilizing VBA macros and Excel Automation from external programs is a must
  • SQL – preferably on multiple Microsoft data platforms including Microsoft SQL Server and Microsoft Access is highly preferred
  • Business Application Development, including requirements gathering and specification writing is required
  • Experience involving Data integrity, QA and control is required
  • Detailed reporting in a multi-task environment
74

Senior Data Analyst Resume Examples & Samples

  • 3-5 years work experience in related field, preferably managing digital collectionsStrong database usage and ability to understand data structures
  • Strong cataloging and description background
  • Experience in Digital Asset Management
  • Strong interpersonal skills, along with verbal and written communication
  • Strong understanding of metadata standards and experience creating taxonomy
  • Experience with media technologies and production workflows
  • Detail oriented and organized
  • Familiarity with learning and teaching new technologiesFamiliarity with Media & Entertainment industry
  • Membership in industry trade organizations (ALA, SAA, SLA, Siggraph, etc.)
  • Former Studio Technology Intern
75

Senior Data Analyst Resume Examples & Samples

  • Lead the Information Technology (IT) data gathering for regulatory exam requests by liaising with IT staff to gather and finalize all examination request letter items in the IT section
  • Project manage/support the creation of a searchable mechanism/database of data requests that would more efficiently facilitate data production
  • Organize data into easily retrievable categories for exam readiness, business planning and regulatory response purposes
  • Interpret exam data, analyze, and identify trends or patterns from the past exam data requests /issues and provide ongoing reports
  • Work with business partners to develop and implement standardized data collection processes for the various entities
  • Establish data reconciliation procedures and escalate issues to LOBs and CCOs for resolution when identified
  • Implement strategies that will help us optimize data quality
  • Keep abreast of new systems or changes on the business side of the enterprise to help direct us to the correct groups/individuals
  • With admin support, manage internal Shared Drive; develop an enhanced workpaper naming convention for SharePoint site; and manage access to workpapers
  • With admin support, facilitate maintenance of loaner laptops and related software, including by testing software, troubleshooting, and liaising with responsible IT staff
  • Knowledge of and experience working with IT rules and regulations that apply to financial services is required, 7-10 years’ experience is preferred
  • Experience in data management, data operations or data engineering is required
  • Excellent ability using SharePoint, Access, and SQL is required
  • Problem solver with demonstrated ability to partner effectively with others in handling issues
  • Robust project management skills, highly organized with strong attention to detail
  • Able to work independently in a fast paced and dynamic environment, handle multiple tasks, consistently meet established deadlines, and deliver exceptional results
  • Advanced analytical, investigative and problem-solving skills
76

Senior Data Analyst Resume Examples & Samples

  • Provide analytical support on internal projects
  • Identifying the correct analytical methodologies and techniques required for each spec
  • Liaise with internal and external stakeholders to source and extract relevant data sets
  • Lead data cleansing and analysis
  • Produce tangible visualisations and reports to present back using your knowledge to provide recommendations
  • Champion the data library
  • Experience within Financial Services is highly favourable
77

Senior Data Analyst Resume Examples & Samples

  • Assist director in planning, development and execution of ACL Desktop / AX Server and Tableau based data analysis procedures
  • Consult with teams to provide data analysis support and guidance during new areas of internal controls support
  • Follow development and execution methodologies. Create sustainable and repeatable data analytics leveraging ACL Desktop / AX Server and Tableau platforms
  • Act as project lead for automation and support projects. Inform director, wider team, and Senior Management of project status, issues, risks and results
  • Display agility and out of box thinking in creating new solutions using existing tools and solutions
  • Provide VBA support for excel / access developed solutions
  • Demonstrate understanding of Visa's and Internal controls strategic vision, be a self-starter, and be responsible for actions promoting this strategic vision
  • Interact with Internal controls team members in working towards departmental goals
  • 5-8 years of data analysis experience, leveraging ACL Desktop / AX Server or Tableau tools
  • 2-3 years of access / excel VBA macros
  • ACL certifications, or Tableau Desktop Certification are highly desirable
  • 3-5 years of financial data analysis experience preferred
78

Senior Data Analyst Resume Examples & Samples

  • Must have a passion for Data, structured or unstructured
  • 8+ years of experience working in a technical environment as an engineer or developer
  • 5+ years of hands-on experience with data architecture, data modeling, database design and data warehousing
  • 5+ years of hands-on experience an ETL tool like Pentaho, DataStage, Informatica, or Ab Initio
  • 5+ years of hands-on experience with SQL development and query performance optimization
  • 5+ years of hands-on experience with data mining and data analysis
  • 5+ years of hands-on experience with unix shell scripting, Perl, and Python. Scala is a plus
  • 5+ years of hands-on experience with traditional RDBMS such as Oracle, DB2, MS SQL and/or PostgresSQL
  • Strong estimating, planning and time management skills
  • Strong understanding of Big Data and open source technologies
79

Senior Data Analyst Resume Examples & Samples

  • Support internal ad hoc requests related to business and corporate performance through articulating the requirements for and extracting data from various databases within the bank
  • Partner with team members, business lines and support groups to develop analytical framework to measure profitability
  • Help develop the data analytics roadmap for profitability reporting
  • Review of existing profitability reporting in order to support requirements gathering, consistency of design, expectations and project benefits for any process improvement opportunities
  • Develops a process by which ad-hoc changes are captured in the process and operating procedure documentation
  • Create and maintain well-commented and organized SQL code library for internal reporting and analysis
  • Interfaces with the technology teams, and tracks development process
  • Performs Hyperion UAT testing, and coordinates the UAT process with the other team members
  • Creates and polishes to perfection presentation materials that are used for decision making within Organizational Profitability. Automates generation of materials where appropriate
  • Works with LOB partners and modelers on modeling approach, assumption; becomes SME on data and business characteristics for subject portfolios
  • Understands Bank’s balance sheet and income statement structure and data, and writes detailed technical requirements necessary for development of new functionality of the Hyperion cube used for profitability reporting
  • Bachelor’s Degree in Finance, Economics, Statistics, Computer Science or Business Administration – Required
  • Master’s/Advanced Degree - Preferred
  • 5+ years of functional/professional experience in data analytics roles
  • Required License(s) or Certifications in CFA- Preferred
  • Working knowledge of Hyperion or other business intelligence tools a plus
  • Ability to execute on projects and work cross-functionally
  • Able to document requirements and processes
  • Familiarity with financial modeling
  • Banking product level experience preferred
  • Ability to understand large volumes of multi-dimensional data, and manipulate it with SQL and VBA
  • Ability to quickly process and internalize large volumes of information
  • Expert level Excel skills, including
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Senior Data Analyst Resume Examples & Samples

  • The Senior Data Analyst on the international business team has the responsibility to drive the development of the vehicle valuation portfolio for the local markets
  • Must develop a thorough understanding of Kelley Blue Book's existing product offerings and apply the knowledge, perform data analysis, explore possible data sources to build valuation offerings that make sense in other markets
  • Will need to perform extensive data analysis to assess data sources available in the local markets and participate in evaluating market opportunities
  • Expected to lead a collaborative effort with statisticians, internal and external stakeholders, software engineers and other groups to create and maintain valuation portfolio that fits in the local markets
  • Expected to gain a great understanding of the intricacies that drive the new and used car market, both from a wholesale and retail perspective
  • Tracks, analyzes and interprets trends in data in order to provide relevant conclusions and recommendations to management
  • Will be required to work mostly regular hours, but may occasionally need to be flexible to accommodate meetings with partners in other time zones
  • Moderate overnight travel (up to 25%) by air
  • 2-4 years of experience performing advanced quantitative analyses
  • Ability to transform large datasets into meaningful insights and tools that can be comprehended by the average car shopper
  • Project management experience as well as strong communication and presentation skills
  • Bachelor's degree (B. A.) from four-year College or university; or two to four yearsrelated experience and/or training; or equivalent combination of education and experience
  • Proficient personal computer skills including electronic mail, record keeping, routine database activity, word processing, spreadsheet, graphics, etc
  • Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public
  • Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations
  • Ability to define problems, collects data, establishes facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables
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Senior Data Analyst Resume Examples & Samples

  • Must have good technical business analysis skills
  • Must have good SQL skills and time management skills
  • Strong communication and writing skills a must
  • Understanding of major
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Senior Data Analyst Resume Examples & Samples

  • Facilitates high level and detailed requirements analysis and translates business requirements into data needs for BI & data solutions
  • Leverage thorough understanding of business and system processes to make recommendations and propose technical/non-technical solutions to meet business requirements
  • Work with the architects and development teams to implement data & process flows to capture business needs and system deliverables
  • Analyze and document the proposed solution’s impact on existing systems, and propose design or process changes to meet business requirements
  • Lead and co-ordinate test planning on data and BI solutions
  • Create and maintain data and process flow diagrams to be used as project artifacts or reference for future changes to ensure consistent repeatable processes are implemented
  • Lead business meetings through walkthrough of data analysis conclusions, results and end-state process flows to validate or educate stakeholders on recommended solutions. Negotiate and gain buy-in on results
  • Perform and document data profiling, using industry standard tools, which will be used to assist in data and reporting solutions. Participate in creating project documentation, including design documents, requirement documents, data dictionaries and data mapping documents
  • Bachelor’s degree in related field (Finance, MIS, Business Administration, Computer Science) or two year degree with equivalent experience
  • 7+ years of experience supporting data architects/technical teams in a large and complex data environments with experience using PL/SQL and query development tools like Toad, SQL Developer, Oracle or SQL based RDBMS
  • Experience working with data in a variety of formats including mainframe and distributed environments
  • Strong background translating user & business requirements in to complex technical solutions
  • Experience in interviewing business users, collecting and interpreting requirements, explaining solution details to business audience and run meetings
  • Working experience with agile or other rapid application development methods
  • Demonstrated ability to balance data theory with practical solutions
  • Knowledge of and experience applying data modeling techniques and best practices
  • Thrives in a dynamic work environment; delivers successfully, exhibits flexibility, and is recognized as being a strong team player
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Senior Data Analyst Resume Examples & Samples

  • Manage and design the Customer-specific technical solution throughout the project life cycle and provide on-demand support and assistant to customer requests, issues and questions
  • Extract insights and actionable recommendations and Investigate anomalies in Big Data
  • Install on site and operate - mostly abroad, in unknown environments, troubleshoot in case needed, initiate creative solutions and develop scripts on customer sites
  • Prepare for delivery including integration, configuration, testing
  • Incorporate research results into the product line and provide product requirements to Algorithm and Development team
  • Write analysis reports for internal and external consumption
  • Train the customers on the system - system usage and monitoring aspects
  • 3 years of professional experience in data analytics with strong data mining and forensic skills
  • Strong experience and knowledge at least one scripting languages: Python/Ruby/Perl/java script etc
  • Hands-on experience using BI and statistical analysis tools such as SQL, SAS, R, Matlab etc
  • Knowledge of Linux, VMs, Cloud
  • International Experience working with customers and partners on site
  • Ability to execute multiple projects and drive key business results under tight deadlines
  • Ability to quickly understand business problems, find patterns and insights within structured and unstructured data
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Senior Data Analyst Resume Examples & Samples

  • 5-9 yrs. of data analytics work in a professional environment
  • 2+ years of SQL coding experience
  • Familiarity with reports generation
  • BS degree in a related field is required
  • Ability to obtain/or current US government security clearance is required
  • Excellent MS Word, Excel, and PowerPoint skills
  • Ability to manage stakeholders and meet tight deadlines
  • PMP is a plus but not required
  • SSIS and SSRS are a plus but not required
85

Senior Data Analyst Resume Examples & Samples

  • You will be involved in Designing and producing reports to meet client business requirements
  • Will be involved in gathering client business requirements , will be predominantly working on Digital Marketing Analytics projects
  • Will be involved in creating reports in SAP Business Objects and will need to work on SQL. you will also be involved in statistical modeling using SAS/SPSS/R
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Senior Data Analyst Resume Examples & Samples

  • Responsible for reviewing, validating, and entering client processing configurations into various database systems in preparation for client installations, changes, or upgrades on the Star Processing and First Data Debit platforms. Ensures that all data entry work is properly screened for completeness and accuracy prior to entry
  • Ensures that work is successfully promoted into production systems on schedule and with the highest level of quality
  • . Works with requesting groups to identify and resolve problems with database entries and client configurations targeted for implementation
87

Senior Data Analyst Resume Examples & Samples

  • Interact with stakeholders to identify critical questions that need to be answered in order for the Analytics team to provide effective KPI’s, actionable insights, and impactful reports that drive critical decision making
  • Conduct analysis of data to draw insights that uncover subscriber patterns, user consumption, and related behaviors
  • Analyze data to identify outliers, missing, incomplete, or invalid data
  • Ensure accuracy of data from source to final deliverable by creating automated quality checks
  • Assist in the coordination of data collection from sources which may include contacting various groups outside the company to resolve questions, inconsistencies, or obtain missing data
  • Assist in the development of report automation, KPIs, and dashboards
  • Create, automate, and maintain reports and visualizations (e.g., behavioral trends and viewership patterns across customer segments, consumption of VOD and live stream, and digital media attribution)
  • Work as a client contact for Analytics team, partnering with various departments to identify priority dashboards and reports
  • A passion for answering challenging questions and telling stories with data and visualizations
  • Self-motivated, detail-oriented, and driven to continuously improve analytics skill set
  • PostgreSQL or related querying languages; knowledge of AWS Redshift a plus
  • Python or other general purpose programming languages
  • Google Analytics/ Big Query or other web analytics tools
  • Tableau or other BI-visualization tools
  • Proficient Excel skills
  • Highly organized and detail oriented
  • Team-oriented, but also able to work well independently
  • Able to multitask effectively and work well under tight deadlines
  • Degree in Mathematics, Statistics, Economics, Actuarial Science, or a related quantitative discipline preferred
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Senior Data Analyst Resume Examples & Samples

  • Project & Knowledge management
  • You will analyze your stakeholder’s needs. You are able to listen, bring a message across clearly, retrieve the needed information and you have the ability to adapt to the stakeholder’s audience
  • You are able to combine your stakeholder’s request with external information and conduct research together with the team
  • You are able to interpret the data you've gathered, identify trends and organize and present data in a meaningful way
  • You coordinate advanced statistical modeling and data quality projects
  • Analysis, reporting and advice
  • You analyze the need for information and data to monitor and quantify business & HR objectives
  • You have the abililty to interpret large volumes of data in order to draw conclusions using a wide variety of statistical and machine learning techniques
  • You support ‘cases for change’ in the HR domain with relevant management information and metrics
  • You have a proven track record in coordinating and executing advanced analyses
  • You have a degree in Econometrics, Mathematics, Business, Social sciences or related
  • You have at least five years of relevant work experience
  • You have experience in applied statistical modelling using applications like R, Python, SPSS, SAS and you have proficient Excel skills
  • You preferably have experience in the field of IT/Computer Science, programming in SQL and Java
  • You have strong English verbal and written communication skills
  • You have excellent communication skills and are able to craft your findings and recommendations into the business language of your stakeholders
  • You are a great team player, able to actively engage your colleagues by sharing, helping and asking for help
  • You have the eagerness and capacity to quickly learn new domains and technologies and apply your skills to unsolved challenges
  • You have the ability to navigate a complex international environment
89

Senior Data Analyst Resume Examples & Samples

  • Manage the Data Warehouse, working with DBAs to achieve and maintain high availability and high performance of the Data Warehouse
  • Implement new business requirements, such as enabling new solutions, providing clients with new reports
  • Develop complex queries and set up extractions on behalf of the business
  • Implement controls to test data quality and ensure full consistency with other LOIM systems and databases
  • Support users and troubleshoot data-related issues
  • Degree in information technology
  • Minimum of 5 years’ experience in a similar role
  • Minimum of 5 years’ exposure to the Asset Management or Hedge Fund industry
  • Expert knowledge of complex financial instruments
  • Expert knowledge of SQL, SQL Server and Data warehouse technologies
  • Knowledge of Big Data and related technologies
  • Excellent verbal and written communication skills in order to interact with the business
  • Fluency in English. French a plus
90

Senior Data Analyst Resume Examples & Samples

  • Extract, transform and load relevant data and data files from various applications and databases
  • Evaluate the appropriateness of data sources for quality and accuracy
  • Perform or consult audit teams on data validation, consolidation and cleansing processes
  • Perform data analytics procedures to evaluate controls and business objectives. Analytics should be designed to identify outliers, anomalies, patterns, or other compliance indicators that may be hidden in the data
  • Develop data delivery processes for both structured and unstructured data types utilizing various internal and external data sources; interface with data experts & data sourcing resources
  • Develop detailed business and system knowledge within supported areas. Document business, system, and data knowledge to help build a robust knowledge-base for future efforts
  • Train and support audit teams in the analysis of captured data as well as technical training to auditors across all levels
  • Automate processes to increase turnaround time on data availability and increase efficiencies in the audit process
  • Build & maintain effective working relationships with IS and IT teams across the organization
91

Senior Data Analyst Resume Examples & Samples

  • A Masters degree is beneficial
  • Intermediate knowledge of SQL including: queries, stored procedures and indexing
  • 3-5 years + of experience in a customer facing role and/or as a project manager
92

Senior Data Analyst Resume Examples & Samples

  • Bachelor's degree with a concentration in Information Systems, Computer Science, Computer Engineering or equivalent technical discipline, or a total of at least 9 years of experience in Information Systems and or Data Analysis and Reporting
  • 5+ years of Information Systems experience with report writing, reporting applications, and resource management
  • Advanced skills in creating complex SQL queries
  • Experience developing reports using reporting tools such as Tableau, COGNOS, OBIEE, etc
  • Proven ability to provide both detail information and also summarize to a management level
  • History of working through management requests in order to determine the data required and delivering on that data
  • Experience writing shell scripts
  • Experience navigating relational databases of at least 3 terabytes in size
  • Intermediate interpersonal, communication, and organizational skills
  • Demonstrable ability to work independently
93

Senior Data Analyst Resume Examples & Samples

  • Auditing - Ensures that tracking meets established standards but will escalate for resolve as appropriate
  • Autonomy - Work independently to accomplish tasks within scope of job that lead to outputs of others. Escalates complex issues to and makes recommendations to Senior Manager
  • Decision Making - Make relatively moderate-complexity decisions in responding to inquiries and in implementing process improvements. Make decisions in line with organizational policy, or recommends alternatives regarding facilities related queries. When relevant established processes or procedures do not exist, the incumbent shall escalate to a senior manager for a resolution or offer their recommendations
  • Monitoring - The incumbent has the authority to collect or be provided with the required information to enable tracking to be done but escalates for resolution if required
  • Advisory- Provide advice or suggest how to follow standard processes while recommending and implementing process improvements. Provide resolution on all general administrative or operational matters of a non-controversial nature. Recommend appropriate content for communications, reports and presentations
  • Interact regularly with senior managers, and with cross-functional business units to collect information, and to accomplish tasks, as a critical function. Develops relationships to achieve outcomes and to improve cross-group relationships
  • Interact with colleagues and clients across a large-size demanding business group. Works with support departments
  • Ability to identify the importance of issues and projects and to manage and prioritize multiple tasks
  • Ability to work under pressure and meet deadlines in a highly challenging environment
  • Self-starter with the ability to work independently under minimal supervision
  • Exceptionally strong organizational skills and attention to detail
  • Excellent follow-up and problem solving skills
  • Ability to make intuitive decisions and prioritize work
  • Superior interpersonal and communication (written and verbal) skills
  • Advanced knowledge of Access, Word, Excel, PowerPoint and Microsoft Outlook
  • Advanced knowledge of SQL, Visual Studio, C#/Visual Basic ,ASP.net, web development
  • Knowledge of Crystal Reports desired
  • Solid organizational skills required to coordinate and lead a variety of initiatives
  • Seasoned broad business knowledge and specific understanding of the organizational unit, its functions and products and customer groups
  • Very good understanding of the processes, policies and procedures required for supporting the business
  • Professional, polished and discreet
  • Undergraduate degree in; information management or software development
  • Experienced in working with databases and information/data collection and organization
94

Senior Data Analyst Resume Examples & Samples

  • Perform analytical programming utilizing a variety of data tools (SQL, SAS, SSIS) from multiple sources including very large data warehouses, data marts, and ad hoc data sources to support existing Medicare programs
  • Create financial billing reports and provide analysis using SQL
  • Team subject matter expert for all data sources used in analysis and reporting
  • Provide in depth analysis to identify root causes and to drive remediation of underlying issues
  • Communicate technical information clearly and articulately to a wide variety of audiences (executive management, clients, account managers, etc)
  • Take ownership of issues and follow through on all responsibilities
  • Work closely with stakeholders on process improvements, ensuring long - term sustainability of processes
  • Document and keep all SOPs up to date
  • 3+ years strong SQL experience
  • 2+ years analysis experience in a business or data analyst type role
  • 2+ years of gathering data from Business and Communicate technical information clearly and articulately to a wide variety of audiences (executive management, clients, account managers, etc.)
  • 1+ year of SAS experience
  • Computer Science or related Bachelor’s degree
  • Previous healthcare, finance, or billing experience
  • Passion for learning and working with new technologies
95

Senior Data Analyst Resume Examples & Samples

  • This position will be responsible for collecting, researching and analyzing data related to cost of care and utilization and publish management reports identifying trends and opportunities for cost management and reduction, including the identification of individual provider practice profiles
  • Conduct data mining and statistical analysis using the Dental Data Warehouse
  • Construct predictive cost of care and utilization models
  • Use statistical and analytical methods to identify utilization trends and dentist practice patterns and integrate clinical, third party, Facets claims and UR vendor data
  • Investigate utilization problems and collect additional information to close gaps
  • Create and publish periodic management reports at corporate, Line of Business, Group, Provider and Member levels as required
  • Identify opportunities, through analysis, to manage and control cost of care
  • Create and maintain databases as required to support analytics
  • Identify providers with abusive claims patterns using analytic and statistical methods
  • Create audit databases for investigating abusive providers
  • Work cross-functionally and coordinate with others to gather information and overcome challenges in obtaining needed information
  • BS/BA in business or related field
  • 3+ years of experience extracting data in SQL/Oracle environment with advanced analytical skills using SAS, SQL and/or similar tools
  • Advanced analytic skills using SAS, SQL and/or similar tools
  • Strong Internet and Microsoft Excel, Word, Outlook and PowerPoint skills with the ability to navigate a Windows environment. Must be able to create, edit, save and send documents utilizing Microsoft Word
  • Experience working with data warehouses and databases
  • Advanced expertise in statistics including regression modeling
  • 3+ years of healthcare experience, preferably in dental insurance/claims processing
  • Ability to navigate Microsoft Access Databases and VBA
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Senior Data Analyst Resume Examples & Samples

  • Work with clinical and business owners to develop and test new healthcare measures in quality, efficiency and other areas of healthcare measurement
  • Transfer knowledge based on research to Systems Analysts, Business Analysts, Developers and others
  • User acceptance testing of requirements based on research items
  • Research and analysis based on requests from multiple sources
  • Research and analyze possible defects in production code
  • 3+ years of data analysis experience
  • 3+ years of experience writing advanced SQL queries, including proficiency with use of ALL of the following: nested queries, group by clauses and having clauses
  • 2+ years of experience with one or more of the following: data manipulation, data profiling or data validation
  • 2+ years of experience translating business requirements into technical requirements
  • Bachelor’s degree or equivalent professional experience
  • Healthcare data knowledge
  • Ability to deliver quality work, delivered on a tight schedule, and across multiple concurrent assignments
  • Experience validating requirements with stakeholders and the project team, as well as providing suggestions and recommendations
  • Experience leading internal review sessions with all levels, including senior leadership
  • UAT or other testing experience
  • Experience presenting written and verbal data analysis findings, to both the project team and business stakeholders
  • Experience with Big Data technology (Hadoop, Hive, Pig, MapR, etc.)
  • Experience working with statistics, including experience with SAS or other statistical applications
  • Experience with data migration using SSIS or other comparable tool
97

Senior Data Analyst Resume Examples & Samples

  • Data analyst role responsible for working in conjunction with business analysts to develop, test and implement new production audit opportunities and trends
  • Create algorithms to data mine member, claims and COB data
  • Support SAS processes in a production environment
  • Focus on driving productivity and quality to aide business partners in achieving and exceeding monthly goals
  • Analyze a client's data files for quality, quantity, and accuracy
  • Use metrics, excellent time management skills and leadership skills to ensure business objectives and goals are met
  • Organize and execute multiple re-occurring and one-off tasks and projects at one time
  • 3+ years of experience in Analytical role using SAS programming experience
  • 2+ years of RDBMS such as MySQL, Oracle, or MS SQL Server
  • Understanding of the basic Unix commands, language, utilities and scripting
  • 1+ years of experience with SAS Macros
  • Experience automating SAS processes
  • Experience using FTP/SFTP software
  • Experience using version control software
  • Experience with healthcare member or claims data
  • Coordination of Benefits (COB) experience
  • SAS EG programming experience
98

Senior Data Analyst Resume Examples & Samples

  • Assist in the design and methodology of performance improvement and/or research efforts
  • Gather data and evaluate accuracy
  • Design and create data collection tools
  • Analyze data and develop reports regarding performance at individual and area/department levels
  • Proficient with MS Office (Outlook, Word, Excel, PowerPoint, and Access)
  • Design, develop, test, and implement basic relational databases
  • Assist in the maintenance of existing databases as needed
  • Director in advance to any barrier(s) to meeting deadline(s)
  • Coordinate with employees assisting in data collection
  • Collaborate with medical, counseling, case management, and administrative staff to ensure reports are accurate and meaningful
  • Generate reports from a variety of internal and external data sources
  • Be familiar with, and have the ability to, format data in various ways
  • Create and/or maintain documentation and products in a shared network space
  • Analyze data for trends, improvements, and areas of concern
  • Assist in the preparation of publications and presentations
  • Coordinate with other members of the department to provide back up for various projects
  • Participate in committees as assigned
  • Able to present data in tabular and graphic formats
  • Proficient with basic, descriptive statistics
  • Provide analytical measurement on quality, performance, and research initiatives, as assigned
  • Compile, organize, and analyze data from multiple sources
  • Assist in maintaining a work environment free from recognized hazards that create a risk of injury to employees, patients or visitors and that all accidents and incidents are reported by employees and properly investigated. When appropriate, assist with the return of all workers with work related injuries and illnesses to gainful employment
  • Participate in professional development
99

Senior Data Analyst Resume Examples & Samples

  • Provides statistical and analytical support in effort to achieve CMMI Maturity Level 5
  • Gathers, analyzes, and interprets a wide variety of data in order to develop and refine process performance models and baselines
  • Measures process stability and accuracy
  • Analyzes existing processes, proposes improvements, and develops and enacts deployment plans. Utilizes quantitative methods to evaluate the effectiveness of those improvements
  • Develops and implements programs to ensure products and services meet company standards and internal customer requirements
  • Identifies new ways to utilize data and statistical methods to improve business processes throughout the organization
  • Develops and conducts training to encourage use of statistics and other mathematical techniques throughout the organization
  • Maintains current knowledge of relevant technologies and subject areas
  • May provide guidance and work leadership to other team members
  • 5-8 years of related experience
  • Understanding of the CMMI Institute Capability Maturity Model Integration (CMMI) and ISO 9001 requirements
  • Six Sigma Black Belt certification
  • Ability to perform statistical analyses and interpret the results
  • Experience in statistical modeling for software development projects seeking CMMI ML 5 is desired
  • Experience in statistical modeling: linear regression is required; nonlinear regression modeling is desired
  • Experience in hypothesis testing: parametric is required; nonparametric is desired
  • Experience with statistical software (R, Minitab, JMP, etc.)
  • VBA coding experience is highly desired
  • Experience working in a software development environment
  • Experience working in an Agile software development environment is desirable
  • Advanced knowledge of the principles, methods, and procedures related to process improvement
  • Comprehensive knowledge of the work processes, methods, and techniques of software development
  • Excellent oral and written communication skills at all organizational levels
  • Experience and proficiency with Microsoft Office products (Word, Excel, Outlook) is required; experience in Project and Visio is desired
  • Creative problem solving ability
  • Highly analytical and accurate
  • Ability to learn and adapt
  • Ability to work independently and in teams
100

Senior Data Analyst Resume Examples & Samples

  • Executing Data Analytics - Create/enhance analytical procedures, create data dissemination mechanisms/procedures which summarize data in an easy to understand display, create/maintain customized SAS stored processes
  • SAS Macro libraries and JMP scripts, perform risk analysis, respond to complex data requests that require data mining, extraction and query optimization services, investigate and recommend new analytic technologies and advanced
  • Bachelor's degree in Econometrics, Finance, Statistics, Math, Economics or related degree (High School Diploma and 4 additional years of experience may be substituted in lieu of degree)
  • Ten (10) years of relevant experience (a Masters or CFA may substitute for 2 years of experience)
  • Minimum of five (5) years hands-on data analytics
  • Proficient in statistical and data analyses
  • Knowledgeable of fundamental factor models such as macroeconomic factor models, cross sectional fundamental factor models and time-series fundamental factor models
  • Familiar with financial data and the basics of the financial services industry, including derivatives (futures, options and swaps) and financial reporting
  • Hands-on experience with at least one or more of the following: SSMS, SSRS, JMP, MATLAB, Revolution Analytics "R", Greenplum, PowerPivot, Stata, SSAS, SPDS and SharePoint
  • Advanced ability to compose materials such as detailed reports, work‐related manuals, publications, etc
  • Demonstrated ability to communicate with different levels of employees (managers, supervisors and team members) are a must
  • Ability to obtain NACI clearance (US Citizenship or Permanent Residence status required)
  • Proficient with the SAS EBI Platform - extremely beneficial
  • Degree preferred
  • Proficiency in statistical and data analyses using SAS is preferred
101

Senior Data Analyst Resume Examples & Samples

  • The Data Ops Analyst role resides within the Ford GDIA organization which was formed to support the client’s Data Acquisition strategy
  • You will be responsible for providing the data support for enterprise data integration tasks, including ingestion, standardization, enrichment, mastering and assembly of data products for downstream applications
  • Work on all the data types across the enterprise including Customer, Dealer, Vehicle, Manufacturing, etc
  • Implement an Enterprise Data Governance model and actively promote the concept of data sharing, data reuse, data quality and data standards
  • Bachelor’s Degree in Computer Science or related field from an accredited college or university
  • Minimum of 2 years¿ of experience in Big Data / NoSQL technologies including Greenplum & Hadoop (HDFS, MapReduce, Hive, Shark, Spark, etc.), especially command line experience with loading and manipulating files within HDFS
  • Ability to work in different database technologies including Big Data / Hadoop (HDFS, MapReduce, Hive, Shark, Spark, etc.), RDBMS and NoSQL
  • Knowledge of data transfer and ingestion technologies including Attunity
  • Ability to write complex SQL queries needed to query & analyze data
  • Ability to quickly comprehend the functions and capabilities of new technologies
  • Strong team player, with the ability to collaborate well with others
  • Strong analytical and problem solving skills,
  • Resourceful and quick learner ¿ Highly self-motivated
  • Superior organization, coaching and interpersonal skills
  • Strategic and clear thinking to translate discreet and complex ideas to business-driven results
  • Bachelor’s degree from accredited university
102

Senior Data Analyst Resume Examples & Samples

  • Act as an internal consultant supporting our global customer and dealer, Marketing, Sales and Service business unit data strategy
  • Work closely with data scientists and data analysts to better understand and evaluate data requirements and the type of data needed
  • Provide visibility to data quality issues and work with the business owners to fix the issues
  • Enable tactical and strategic data standardization transformations for data visualization
  • Evaluate, explore and select the appropriate data platform technologies including Big Data, RDBMS & NoSQL to meet the analytics requirements
  • Implement enterprise data governance model and actively promote the concept of data sharing, data reuse, data quality and data standards
  • Build the metadata model & business glossary by gathering information from multiple sources: business users, existing data sources, databases and other relevant documents and systems
  • Strong problem formulation, analytical and problem solving skills, with the ability to communicate in a clear and succinct manner
  • Strong interpersonal, and leadership skills, with proven abilities to communicate and present complex topics to leaders and peers in a simple, clear manner
  • Self-starter that is detail-oriented with the ability to multi-task and work independently
  • Effectively collaborate with others and possess excellent oral/written communications in English
  • Strong team player, with the ability to collaborate well with others, solve problems and actively incorporate input from various sources and team members
  • Ability to anticipate obstacles, effectively evaluate information, and develop plans to resolve them
  • Change oriented, with the ability to actively generate process improvements, support and drive change, and confront difficult circumstances in creative ways
  • Resourceful and quick learner, with the ability to efficiently seek out, learn, and apply new areas of expertise as needed ¿ Superior organization, coaching and interpersonal skills, combined with effective leadership, and decision-making
  • 5+ years of experience working with big data-related projects, and data operations experience compiling data for analytics, working with data analysis methodologies and supporting tools
  • 2+ years of experience in Big Data, RDBMS, NoSQL technologies including Hadoop, SAS, MapReduce, Hive, Shark, Spark, QlikVew, etc
  • Knowledge of command line experience with loading and manipulating files within HDFS
  • Experience with data transfer and ingestion technologies including Attunity
  • Ability to write SQL queries needed to query & analyze data
  • Bachelor’s degree in Mathematics, Statistics, Computer Science or academic equivalent from an accredited college or university
103

Senior Data Analyst Resume Examples & Samples

  • Compiling, processing and analysing data with MS Excel, MS Access, SQL and other tools
  • Data modelling using Fortna’s proprietary tools and other specialised systems for financial and operational modelling
  • Writing and delivering high quality analysis of data evaluation
  • Develop new templates and calculators that will support our company different practices, this includes leading the research and look for the resources needed
  • Bachelor’s degree in Math, Economics, Logistics, Supply Chain, or Business
  • 2+ years of data analysis experience; previous experience performing SQL data analysis is preferred
  • Excellent analytical and research skills
  • Intermediate to Advance user of MS Excel, Access and SQL
  • Strong organization, document writing, and communication skills
  • Ability to work under deadlines in support of multiple projects throughout various countries
  • Ability to develop structured problem solving skills
104

Senior Data Analyst Resume Examples & Samples

  • Act as a liaison between the business customer and IT to identify business processes, system and product requirements
  • Coordinate Mass Updates, Re-organizations, Acquisitions, and Divestitures that have an impact on PeopleSoft data
  • Analyze and troubleshoot data in PeopleSoft, especially when there are issues with PeopleSoft data
  • Do non-standard PeopleSoft data entry where subject matter expertise is required
  • Recommend process improvement where processes are broken
  • Responsible for reviewing possibilities to standardize and transition data entry activities to groups outside of subject matter experts
  • Perform testing for any changes in PeopleSoft as part of enhancements and/or projects
  • Maintain and apply a strong knowledge of the customer’s business and regional/global processes to develop solutions
  • Coordinate enhancements for Smart Forms by collecting requirements from the business
  • Create and/or deliver HR and client communications regarding PeopleSoft data changes and/or Smart Forms
  • Conduct training on PeopleSoft and Smart Forms to HR customers
105

Senior Data Analyst Resume Examples & Samples

  • Develop reporting and analysis to measure the effectiveness of direct marketing channels; make data driven recommendations that optimize channel performance
  • Conduct in depth analysis to determine responsive and profitable customer segments
  • Develop and execute experimental designs and optimization schemes for ongoing marketing campaigns to improve marketing effectiveness and ROI
  • Develop and continually improve customer segmentation, targeting propensity models (response, attrition models), and customer lifetime value model using advanced statistical techniques
  • Translate analysis results and modeling outcome into understandable and actionable business knowledge; effectively and clearly presents findings to non-technical audience
  • Must be able to interact productively with key organizational decision makers
  • Collaborate closely with other analytic teams across the organization to share findings and best practices
  • Develop a strong partnership with the BI Team in performing complex data extractions, manipulations and validation to ensure accuracy and appropriateness of analytic model
  • Bachelor degree in Statistics, Economics, Operations Research, Applied Math, Computer Science or related quantitative field. Graduate degree preferred
  • 3+ years of experience in the Analytics field
  • Advanced SQL programming skills and experience working with large and complex databases, preferably in a marketing capacity
  • Knowledgeable and experienced with analytic methodology, statistical analysis and test design including experimental design, A/B testing, sample size, and t-tests
  • Predictive modeling skills using statistical programming tools (SAS, R)
  • Proficient with Microsoft Office products (Excel, PowerPoint, and Word)
  • Experience with Business Intelligence tools (Tableau, Cognos) a plus
  • Analytical thinker and a team player who thrives in a fast paced environment
106

Senior Data Analyst Resume Examples & Samples

  • Understand how the Service team utilizes various applications in order to provide analytical reporting and applications to process owners and leaders
  • Combine and consolidate datasets from various sources to produce meaningful reporting of the "big picture"
  • Drive requirements gathering, development and testing of new tools and reports
  • Work with management and peers to create and run as needed reports on multiple company databases
  • Check for validity of collected data using several techniques, including, but not limited to, on-line comparison tools, MS SQL server, data editing/tabulation software
  • Assist with web development for new or enhanced tools and reporting
  • Manage project lifecycle independently while ensuring timely implementation. Act as liaison between business and IT
  • Assist with other Commercial support as needed
  • Requires a Bachelor's degree
  • Must be able to effectively communicate, particularly through written communication
  • Meticulous attention to detail and accuracy
  • Advanced knowledge/use of Microsoft Access, Excel, PowerPoint, and MS SQL server
  • Knowledge/use of OBI, Business Objects or similar business analytics application
  • HTML skills, preferred experience using Script Case and Word Press
  • Knowledge/use of Oracle or similar ERP application
  • Experience with Salesforce.com or similar CRM application
  • Knowledge/use of Sharepoint
107

Senior Data Analyst Resume Examples & Samples

  • Playing a lead role in software design, architecture, requirements analysis, investigation of new technologies, and software development
  • Collaborate as a member of an agile team to get products developed and completed with best in class software development
  • Working closely with business and IT teams to define the end to end solution for large scale data and analytics solutions
  • Lead analysis, design and development of enterprise data and analytics use cases and their solutions
  • Mentoring team members on best practices and best use of technologies
  • Excellent interpersonal and communication skills and an ability to work effectively with teams
  • Strong analytical skills and a demonstrable bias toward action.Development
108

Senior Data Analyst Resume Examples & Samples

  • Mentor junior staff and help improve overall efficiency of data analysis both technically and procedurally
  • Take data stewardship and provision data to multiple customers while adhering to enterprise quality standards
  • Develop, maintain and execute sourcing scripts and applications to collect data from a variety of client and public sources
  • Develop, maintain and execute tools to aggregate, validate, transform and retrieve data in internal Oakleaf data stores to serve a variety of different modeling and analytical needs
  • Analyze and document data processes, and information flow
  • Analyze and document data conventions used in outside data sources
  • Design logical database models using normalization/ standardization techniques
  • Implement and support ad-hoc queries and reports
  • Develop strategies and data structures to unify information of various types from numerous disparate data sources and facilitate re-use across clients and usages
  • Aggregate and transform time-series data and other large datasets
  • Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, Business, Finance, Accounting or related field
  • Domain knowledge of financial instruments and particularly the mortgage lifecycle is highly preferred
  • 4+ years of experience in a programming role using Python, R, or other industry standard languages
  • 3+ years of database administration experience and querying and creating stored procedures using data querying languages
  • Familiarity with basic accounting and statistical topics
109

Senior Data Analyst Resume Examples & Samples

  • At least 2 years as business analyst. Working in the High-Tech industry – an advantage
  • Technical BI skills (ETL’s, BI Tools as developer)
  • Experience in developing statistical scripts over databases
  • Acquaintance with operations systems (ERP’s, CRM’s) – an advantage
  • Reporting to VP IT
110

Senior Data Analyst Resume Examples & Samples

  • Design, develop, analyze, evaluate, test, debug, document, and implement moderately complex software automation applications from collected specifications/requirements
  • Under general direction, devise or modify procedures to solve complex problems while considering equipment capacity, bandwidth, operating time, and form of desired results
  • Provide Windows Server administrative support for the production, UAT, and development environments. Participate in occasional evening change windows as required
  • Work as a team member in Revenue Assurance providing technical recommendations to solve for business issues
  • Responsible for producing high quality deliverables in a timely fashion
  • BS in Engineering, Mathematics, CIS or related field, or equivalent relevant experience in required
  • 3+ years enterprise experience with software development in an intranet web environment
  • 3+ years enterprise experience with VB.NET
  • 3+ years enterprise experience with CSharp.NET (C#)
  • 3+ years enterprise experience with JavaScript
  • 3+ years enterprise experience with JQuery
  • 2+ years enterprise experience with MVC
  • 3+ years enterprise experience with ANSI SQL
  • Competency to work at the highest technical level at all phases of the software development lifecycle
  • Ability to accept responsibility for multiple development projects
  • Ability to engage and network with contacts inside and outside the team
  • LINQ
  • Oracle 10 or above
  • Windows Server Administration
  • IIS 7+ Administration
  • Java programming
111

Senior Data Analyst Resume Examples & Samples

  • Functional analyst within the Internal Reporting and Analytics Solutions design and management team
  • Work directly with user community to assist in gathering requirements, prototyping and designing reporting , data analytics and visualization solutions
  • Deliver business as usual and maintenance activities for reporting applications as required
  • Deliver functional requirements, design specifications, testing scripts and training materials to support EPM/BI capabilities
  • Flexibility and collaborative work approach to solve complex problems and to develop customer-specific solutions - taking into account multiple internal and external stakeholder groups
  • Compliance to Verizon-wide policies and procedures
  • BA/BS degree with concentration in General Accounting, Finance, FP&A, IT, Project Management or equivalent work experience
  • 3+ years of directly related experience
  • Data Analytics, Oracle EPM and/or BI background
  • Proficiency with a Major BI reporting tool
  • Strong interpersonal, influencing, communication and organizational skills
  • Ability to interface with various/complex stakeholder groups and functions, as well as various levels of management
112

Senior Data Analyst Resume Examples & Samples

  • Gather and maintain data across Teradata, Hadoop and Aster
  • Data extraction, transformation and ETL using SQL Server, Teradata, Hadoop
  • Analyze the data using big data tools to identify opportunities to improve the customer experience and drive revenue generation, including Python, R, SQL, HiveQL, C#, R etc…
  • Develop models and use cases for engagement and socialization with the business
  • Self-starter: Able to work independently and multitask under short deadlines based on general directions
  • Candidate needs to have proficiency in creating complex SQL and ETL in variety of databases in priority order: Teradata, SQL Server and Oracle
  • Proficient in PL/SQL programming - Stored Procedures, Functions, Packages, SQL tuning, and creation of Objects - Tables, Views, Materialized Views, Triggers, Sequences, Synonyms, etc
  • Extensive experience in database and SQL skills such as analyzing and improving table performance Analysis and tuning SQL queries. Experience with performance/scalability tuning, algorithms and computational complexity
  • Strong experience with data analytics and high volume data processing. Familiarity with a variety of data formats and protocols of structured and unstructured data
  • Has strong skillset in creating reports and performing business analysis in Tableau and Excel Proven ability to analyze data and identify opportunities. Ability to analyze large volume of data and identify patters
  • Excellent skills in Python and R
  • Strong communication skills to communicate analysis, findings and insights
113

Senior Data Analyst Resume Examples & Samples

  • BA/BS degree with concentration in general Accounting, Finance, FP&A, IT, Project Management or equivalent work experience
  • 4+ years of directly related experience with a management background
  • Data analytics background
  • Oracle enterprise performance management and business intelligence/ Hyperion
114

Senior Data Analyst Resume Examples & Samples

  • 6+ years of statistical analysis or data analysis experience; or 3+ years of related IT experience, including data warehouse, coding or ETL experience, or analysis or data analysis experience; or 3+ years of HEDIS data analysis experience including measurement and rates impacted
  • Advanced knowledge of Enterprise Reporting and Analysis tools, SQL, and Microsoft Office applications, including Excel and Access
  • Encounters experience preferred
115

Senior Data Analyst Resume Examples & Samples

  • Interface with PM and business customers, gathering requirements and delivering complete reporting solutions
  • Execute new analysis from top to bottom within broadly defined parameters
  • Modifies, designs, develops, debugs, and supports more complex analysis
  • Participate in industry and other professional networks to ensure awareness of industry standards, trends and best practices in order to strengthen organizational and technical knowledge, and
  • Develop effective relationships within and among departments and other AGILE team members
  • 5+ years’ experience building data warehouse and business intelligence solutions in a SQL Server environment
  • 3+ years of SQL Server Reporting Services (SSRS) experience
  • Strong T-SQL skills, including 5+ years’ experience building and modifying stored procedures, functions, creating tables and views
  • 3+ years Healthcare Industry experience
  • Understanding of business requirements in user story (acceptance criteria) format
  • Must demonstrate a strong attention to detail
  • Deep understanding of relational databases
  • Experience with business intelligence software is a plus
  • Experience / knowledge with SQL Server Database Administration (DBA) is a plus
  • SQL Server Analysis Services (SSAS) experience is a plus; and
116

Senior Data Analyst Resume Examples & Samples

  • Expertise in understanding and writing SQL
  • Demonstrated high competency in balancing multiple projects
  • Experience in process analysis and documentation
  • Understanding of various issues tracking/resolution, scope estimation, and scope management processes
  • Experience with Oracle databases, DataFlux ETL, or Cognos BI tools is preferred
  • Experience with IBM Rational Suite tool, including RequisitePro, RSM, ClearQuest, and ClearCase, is preferred
117

Senior Data Analyst Resume Examples & Samples

  • Education – BS degree preferred
  • Experience – 5+ years
  • Significant experience writing moderate to complex queries, performing analysis on data and presenting findings
  • Experience with SQL and ETL tools
  • Experience with analyzing large datasets via Excel, MS Access
  • Experience performing data quality reviews and data gap analysis
  • Ability to enhance, edit and correct data content issues based on knowledge and experience *
  • Experience with standard office software (Word, PowerPoint, MS Project, Visio, etc.), including knowledge of “power user” functionality such as pivot tables, and connection of these tools to external data sources
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Strong skills in problem solving, critical thinking, organization, prioritization, multitasking, and follow-through
  • Ability to formulate conclusions and define next steps upon completion of a data quality review process
  • Experience with large data sets, indexing to optimize performance, unstructured data and understanding of OCR technologies is preferred
  • Experience in project management methodologies
  • Experience performing business analysis
  • Experience in business and technical requirements gathering and related documentation
  • Independent thinking and decision-making abilities
  • Excellent organizational skills and interpersonal skills
  • Knowledge of application testing and methodologies is preferred
  • Experience with Microsoft TFS and sharing tools (SharePoint) is desired
  • Excellent verbal and written communication skills, and ability to interface effectively with product, development, data inquiry and data fulfillment teams
118

Senior Data Analyst Resume Examples & Samples

  • Supports ongoing return activities required for processing non-saleable inventory handled by company third party processor, including monthly process to physically identify items that could not be matched, conduct inventory cycle counts as directed, and physically inspect and/or validate condition of product or shipments
  • Manage ABSG business process and reporting tools used to set up, send and monitor inventory and sales data sent to suppliers to ensure proper data governance and compliance with supplier agreements
  • Conduct unit variance reconciliation activities needed to resolve unit of measure issues or quantity discrepancies
  • Create manual reports as needed for suppliers, quarterly reconciliations and research purposes using ABSG data warehouse environment
  • Assist with cost variance research and other reconciliation activities as needed to ensure appropriate credit is issued for product
  • Develop and track performance metrics used to monitor operational performance of third party processor and ensure timely disposition of product
  • Research and assist with the resolution of data issues identified by suppliers or internal stakeholders
  • Support data validation activities as needed for supplier audits
  • Assist with the set-up activities of new customers on company sponsored return programs as needed
  • Provide support as needed to obtain return authorizations from suppliers, manage handling of debit memo process, or create price files used by customer return programs
  • Monitor distribution center compliance as it relates to returns processing standard operating procedures
  • Good interpersonal and relationship building skills
  • Strong analytical, conceptual and problem solving skills to evaluate business problems and apply knowledge to identify appropriate solutions
  • Strong knowledge of healthcare distribution business, product and supplier base, supplier interrelationships and industry trends
  • Ability to implement processes resulting in satisfactory audit practices
  • Ability to create reports using Crystal Report Writer or Sequel Server reporting tools
  • Strong computer skills in order to operate effectively with company systems and programs; knowledge of Microsoft Word, Excel, PowerPoint, Access and Outlook
  • Experience in reviewing and managing compliance to contracts
119

Senior Data Analyst Resume Examples & Samples

  • Bachelor’s degree in Business Administration, Computer Science or relevant discipline
  • XML interface analysis and interface field mapping skills
  • Relational database design and development (SQL server/Oracle)
  • Business analysis experience involving domain knowledge in mortgage origination, secondary market or loan servicing
120

Senior Data Analyst Resume Examples & Samples

  • Provides direction for assigned components of project work
  • Given scope of work, minimal feedback/rework is necessary
  • Evaluates effectiveness of actions/programs implemented
  • Proactively records workflows, deliverables, and standing operating procedures for projects
  • 1-3 years experiences in SAS programming in DATA STEPS, PROCS, and MACRO
121

Senior Data Analyst Resume Examples & Samples

  • Coordinates team/project activities&schedules
  • With some feedback and mentoring, able to developproposals for clients, project. structure, approach & work plan
  • Proactively records workflows, deliverables and standing operating procedures for projects
122

Senior Data Analyst Resume Examples & Samples

  • Independently determines and implements appropriate measurement and analytical methods to achieve specified analytical project or tasks objectives
  • Exercises independent professional judgment regarding analysis assumptions and data quality. Identifies and resolves data quality issues, as required
  • Coordinates the work of other project team members (UCDA staff, regional analytic staff, and contractors) to accomplish specified analytical project or task objectives
  • Determines the most informative approaches to summarizing data and communicating analytical results. Develops, as required, innovative or customized templates and formats
  • Implements specified quality assurance procedures to ensure accuracy of project data, results, written reports, and presentation materials
  • Designs and creates written reports and presentation materials describing project objectives, methods, data, and results
  • Given project or task data requirements, determines the most efficient approach to data collection and validation and works independently to obtain needed data from KP HealthConnect information systems (e.g. Clarity)
  • Trains and coaches less-experienced healthcare data analysts on data retrieval techniques, programming practices, and statistical analysis and data visualization methods in the context of specific tasks
  • Specifies project quality assurance reviews and tests based on project characteristics and requirements. Provides guidance to other healthcare data analysts regarding the implementation of such QA reviews and tests
  • Develops detailed measurement and reporting specifications based on project characteristics and requirements provide by project leadership. Provides guidance to other healthcare data analysts regarding the implementation of such specifications
  • Applies analytic knowledge, skills and experience to perform project-related work, complete specific project tasks, and create project deliverables
  • Minimum five (5) years of experience in data analysis
  • Knowledge of healthcare industry, especially healthcare analytics preferred
  • Familiarity with Kaiser Permanente healthcare system preferred
123

Senior Data Analyst Resume Examples & Samples

  • Management console administration
  • Lead Production support activities
  • Present solutions to Architectural Board and other program groups
  • Act as ETL Lead and manage on and offshore resources
  • Lead warranty support and long term maintenance/production support
124

Senior Data Analyst Resume Examples & Samples

  • Interpret client-supplied business requirements documents (BRDs)
  • Translate BRDs to functional specifications
  • Work with offshore developers and data architect to design analytical reports and multidimensional data structures to support requirements
  • Translate functional requirements into technical requirements
  • Design analytical reports to support the requirements based on an existing user interface design
  • Assist in the development and unit testing of new reports
  • Assist system integration testers, performance testers, and user acceptance testers as needed
  • Minimum 3 Years of experience in Cognos report development
  • Experience in Oracle SQL
  • Experience in Linux or Unix
  • Experience in Cognos Administration activities
  • Heavy experience in troubleshooting Cognos analytics and code reviews before migration into any environment
  • Manage and coordinate Cognos code promotion process
  • Administer the code check in/out from code repository
  • Use of automated CM tools to implement CM policies and procedures
  • Assist to improve and develop the CM process, working methods, and tools
  • Manage and track changes to baselines
  • Team player and ability to lead a team in a matrix organization model
  • Assist the onshore and offshore team in coordinating code promotion
125

Senior Data Analyst Resume Examples & Samples

  • Configure and manage environment for data profiling and analysis
  • Perform data profiling and analysis to clarify the nature and scope of data issues
  • Identify and document data-cleansing requirements
  • Develop strategies for duplicate identification and merging
  • Drive the definition, development, testing and application of data cleansing strategies in a hands-on fashion
  • Work with Subject Matter Specialists (SMS) to identify and prioritize data quality issues
  • Profile data to determine scope, risk, and cleansing approaches
  • Present cleansing options with recommendations for addressing issues
  • Develop and test cleansing scripts to automate cleansing wherever possible
  • Coordinate cleansing using data verification services where appropriate
  • Coordinate the application of cleansing activities with production support staff
  • Coordinate data entry resources and tasks and where manual cleansing is required
  • SQL fluency required, especially SQL Server
  • Experience cleansing consumer data in volume (address, phone, email, etc.)
  • Familiarity with profiling tools and data cleansing services is strongly desirable
  • Great team player with a positive attitude
  • A highly proactive, energetic, and enthusiastic approach, projecting a sense that business is being taken care of responsibly
  • Ability to see the “big picture” while addressing critical details
  • Problem solving and analysis skills, combined with strong business judgment
  • Attention to details, consistency and reliability of performance under tight deadlines
  • Superior organization and planning skills. Capable of handling multiple activities and ad-hoc requests simultaneously
  • Willingness to adapt to fast-paced delivery cycles; ability to multi-task
  • Five + years of professional experience as a data analyst
  • Must be able to travel 50%
126

Senior Data Analyst Resume Examples & Samples

  • Map and analyze multiple data flows across transaction processing, trade settlement, asset servicing, accounting, reference data and portfolio analytics
  • Work with Information Architects to ensure proper Logical Data Models are defined correctly, including a data dictionary that can be used to validate attributes and values
  • Perform detailed analysis of data in source systems against what is being delivered to clients today, followed by comparison against Logical Data Models
  • Orchestrate with Chief Data Science group to perform data profiling to find outliers and exceptions
  • Validate all data attributes and values with Operations or appropriate data owners
  • Produce requirements documents for upstream systems to build new feeds that provide high quality data
  • Collaborate with application development team to build data quality testing rules into the new platform, ensuring that all data received from upstream systems adheres to quality standards
  • Minimum 6 years experience as a data and/or business analyst in the financial services industry
  • Ability to analyze complex cross functional business processes and define integrated requirements
  • Can ensure the end to end solution will deliver the required business results
  • Communicates with business SMEs to ensure expectations are kept in line with project status
  • Creates/revises/executes the following deliverables using industry standard techniques as necessary, including but not limited to: process maps, data flow diagrams, requirements specifications, functional specifications, use case scenarios, acceptance testing
127

Senior Data Analyst Resume Examples & Samples

  • Define, design, develop and maintain interactive data visualizations via Tableau
  • Use SQL to pull data from different backend systems
  • Work with development and operational teams to understand and document their reporting and analytical needs
  • Mine and structure data to provide hidden insights into data collection and algorithm performance
128

Senior Data Analyst Resume Examples & Samples

  • This position is for a Data Analyst/System Design Analyst to support a large global program
  • Ideal candidate must have strong data analytics skills and 5+ years of large project design and development
  • 5+ years of project design and development experience on large projects
  • Experience with solution delivery methodologies and a strong understanding of design and development specifications
  • Project development skills with development tools such as Java, Hadoop, Mainframe, and/or SQLServer
  • Analytics experience
  • Marketing and Sales business knowledge
  • Computer Science
129

Senior Data Analyst Resume Examples & Samples

  • 8+ years of progressive data analysis experience or any equivalent combination of education and experience
  • 2+ years designing and executing SQL queries
  • 2+ years using a statistical programming language such as R, NumPy/SciPy/matplotlib or equivalent
  • 2+ years extracting and parsing unstructured data
  • Familiarity with Web site/application performance optimization techniques, streaming media technologies, and Web/DDoS attack vectors
  • Excellent English writing and communication skills
  • Highly inquisitive and able to combine smaller independent pieces of information to create a larger, more coherent picture
  • Ability to deal with a demanding and varied workload and to switch priorities at short notice
130

Senior Data Analyst Resume Examples & Samples

  • Responsible for the aggregation, analysis, interpretation and reporting of customer and sales data on a regular basis
  • Offer insights and new methodologies for reporting where opportunities exist
  • Tackle complex business problems by converting raw complex data sets into meaningful and actionable business ideas through statistical analysis
  • Communicate data insights or outcome to business intelligence and management teams
  • Track key metrics and trends of all business intelligence-related data for our all sites and channels, such as the number of traffic, sales, cost, revenue, airlines, season by creating insightful automated dashboards, visualizations reports
  • Build and automate actionable models and reporting for key business processes
  • Identify relationships and trends in data, as well as any factors that could affect the results of our information
  • Work closely with the business and technology leaders and managers to understand the organization’s data structures and content, to lead the design and execution of audit’s data analytics to achieve efficiencies and increase effectiveness of the overall audit activities
  • Leverage and develop subject matter expertise in the knowledge of the company’s data environment, the ability to access data, the use of analytical tools, and the application of an effective methodology
  • Experience in collecting and analyzing complex data, evaluating information and drawing logical conclusions
  • Proficient in Adobe Analytics, Excel, SQL and Business Intelligence tools such as MS-SQL, Tableau and Kibana
  • Ability to excel and manage in fast-paced atmosphere
  • Determined, strong work ethic, positive attitude, team player, resourceful, detail-oriented
  • Expertise with detail-oriented work
131

Senior Data Analyst Resume Examples & Samples

  • 5-7 years of relevant industry experience in analytics
  • Advanced SQL querying skills
  • Experience using Tableau and/or other BI tools
  • Experience working with large quantities of raw, disorganized data
  • Highly analytical mindset--you’re critical, quantitative, inquisitive and insightful
  • Entrepreneurial in nature--you’re resourceful, adaptable, and have an eye for optimization
  • Active Eventbrite user with a passion for live events
132

Senior Data Analyst Resume Examples & Samples

  • Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques
  • Define, track and report key metrics to assess overall business health
  • Ongoing analyses to assess subscription health and provide strategic input to stakeholders
  • Connect findings and recommendations to business initiatives and collaborate with key stakeholders at various management levels
133

Senior Data Analyst Resume Examples & Samples

  • Collaborate with world-class game developers across a variety of disciplines (engineering, game design, live operations, UI/UX, and community) to form and test theories on player behavior
  • Work closely with engineers to understand and efficiently leverage game databases (MySQL)
  • Find answers to business questions via hands-on exploration of data sets via SQL, dashboards, statistical analysis, and data visualizations
  • Prepare and present weekly reviews on the game’s performance
  • Create and manage multiple A/B tests to gain valuable insights on KPIs including retention, acquisition, and monetization
  • Measure the success of product features after release and optimize their performance through rapid, data-driven iteration
  • Play with an amazing dataset
134

Senior Data Analyst Resume Examples & Samples

  • Collect, consolidate and validate operating, financial and market data
  • Develop, use and maintain tools for handling, analysis and validation of data
  • Performs executive level business analysis and creates presentations explaining financial performance for the entire value chain
  • Support the forecasting and budgeting processes for short term and long term business planning. Provides insight and support to functional leadership in development of strategic plans
  • Maintains a working knowledge of cross-functional performance drivers. Researches new business developments and ensures that business plans accurately reflect the current environment
  • Works with complex, unstructured data residing in multiple systems to develop a comprehensive view of the business
  • Performs ad-hoc analysis in support of strategic initiatives
  • Minimum 5 years of financial or business analysis experience required
  • Extensive data modeling experience required
  • Advanced Excel proficiency
  • Ability to meet time sensitive deadlines and requirements
  • BW/BI, SAP experience preferred
135

Senior Data Analyst Resume Examples & Samples

  • Develop deep understanding of strategic packaging components to support development of new packaging programs and contribute to troubleshooting and problem solving
  • Lead program of work to capture and maintain packaging data and integrate it into global sustainability database
  • Develop reporting score carding system for sustainable packaging performance
  • Maintain global program for the management and reduction of packaging fees in key markets
  • Support the integration of sustainable packaging requirements into innovation processes, including Stage Gate
  • Support execution of packaging optimization programs to deliver against PepsiCo's Sustainability and Innovation agenda
  • Provide cross functional project leadership across Global R and D, Operations, Procurement, Global Sustainability, PepsiCo Design Function, Consumer Insights, Sales, Marketing, Legal, and Supply Chain
  • Build strong relationships with internal and external partners
  • 5+ years' experience in data management and analytics, programming and/or IT with specific experience in managing information and reporting in a commercial environment
  • Packaging experience/exposure preferred
  • Understanding of procurement/supply chain processes and responsibilities preferred
  • Highly motivated individual with a passion for sustainability
  • Clear and analytical thinker with the ability to identify process improvement opportunities and visualize "white space" data management and reporting solutions given specific functional requirements
  • Ability to quickly learn (execute and troubleshoot) new software/programs
  • Highly proficient in Excel, including use of advanced functions and programming in Visual Basic. Experience with additional reporting tools (e.g. Tableau, Business Objects) is preferred
  • Strong time management skills - ability to handle multiple projects, set priorities and plan
  • Very strong communication (spoken and written) skills, which includes the ability to
  • Translate "big data" into meaningful and structured reports relevant to the intended audience (e.g. Sr. Leadership vs an individual farmer)
  • Interpret and consolidate feedback on the SFI Code and Questionnaire into well-written, concise and intent-based enhancements
  • Switch between layman's and IT vernacular as needed
136

Senior Data Analyst Resume Examples & Samples

  • Lead MFC evolution for Business Analytics to deliver actionable insights to the business
  • Acquire business process/functional and data knowledge of new customer business domain
  • Support option evaluation and impact analysis for new technologies and capabilities
  • 2+ years of hands on experience implementing complex predictive models and technical solutions using broad range of technologies
  • Knowledge of statistical analysis concepts and tools such as SAS and R
  • Experience using Big Data tools such as SAP HANA, Hadoop, or Netezza
  • Strong knowledge of SQL and SSIS
  • Strong executive communication and documentation skills
  • Must have ability to quickly ramp up on new technologies and tools
  • Knowledge of functional data for financial operations
  • Ability to handle multiple concurrent activities
  • Strong team player with commitment to excellence
  • Ability to mentor junior team members on the technology development standards
  • Ability to lead requirement solicitation sessions
  • Proficiency in Tableau data visualization is highly preferred
137

Senior Data Analyst Resume Examples & Samples

  • Assist director in planning, development and execution of Tableau based data analysis procedures and VBA based solutions
  • Provide functional and technical support for Oracle R12
  • Provide support to the existing data analytics environment, including periodic data refresh, troubleshoot errors, fix bugs, and implement enhancements
  • 3-5 years of data analysis experience, leveraging Tableau or other visualization tools
  • 4-6 years of access / excel VBA macros and VBA programming
  • 2-3 years of Oracle financial package knowledge
  • ACL knowledge a plus
138

Senior Data Analyst Resume Examples & Samples

  • Supports the utilization of sound study design process when assisting in the development of performance improvement, quality, patient safety and research methodologies
  • Evaluates the effect of performance improvement initiatives on clinical, efficiency and effectiveness, genuine caring and service outcomes by identifying and compiling data from multiple sources and databases to produce comprehensive reports
  • Supports Patient Satisfaction sampling measures, assists in the analysis of reports and provides assistance with education to recipients of data regarding findings
  • Identifies, assesses and designs appropriate tools, database queries and reports for collection of demographic, clinical and quality data
  • Participates, when appropriate, in team meetings with providers, clinical and office staff to ensure data integrity and facilitate data analysis and synthesis
  • Identifies issues with data collection methods and determines need for changes in data collection and management processes
  • Works with management, providers and practice managers and supervisors to develop report cards and/or dashboards as appropriate to ongoing measurement and improvement initiatives
  • Assures methods for evaluation of Processes or Performance Improvement initiatives meet/exceed accreditation, regulatory, and institutional standards
  • Provides ad hoc reports as directed
  • Maintains competency in Statistical syntax programming application, CCS, HIS, Midas +, Power Chart, Centricity, Access, Word, EXCEL, Powerpoint and other applications specific to duties
  • Advances knowledge of current computer software and demonstrates ability to learn and utilize new technology, concepts and software applications and assimilate them into daily work routine
  • Bachelor’s degree required, Master’s preferred and at least 4 years’ experience in database development, maintenance and manipulation is required
  • Proficiency in Microsoft Access, Microsoft Excel, SPSS or other statistical package required
  • Education and or experience in one or more of the following are preferred: healthcare software packages, performance improvement or care management, outcomes analysis, utilization management and project management. An equivalent combination of education and experience may be substituted
  • Knowledge of and competency in a variety of computer software programs including Access, Excel and other software packages
  • Knowledge of performance improvement concepts
139

Senior Data Analyst Resume Examples & Samples

  • Bachelor's degree in computer or related field
  • 6+ years of experience
  • 2+ years experience performing advanced ETL development using SSIS including various dataflow transformation tasks
140

Senior Data Analyst Resume Examples & Samples

  • Generate business logic, custom queries, and reports from software applications using Microsoft T-SQL per defined technical specifications
  • Continually evaluate Microsoft T-SQL procedure performance and enhance the performance as required
  • Performs complex custom analytics and develops solutions to complex software design
  • Manage the extraction, transformation, and population of data files and databases (Microsoft SQL Server, Excel, Access, etc.)
  • The Senior Data Analyst must possess a Master's degree in Computer Science, Engineering, or related field of study plus 3 years of experience in the job offered or 3 years of experience as a Developer or a related role. In lieu of a Master's degree plus 3 years of experience, Employer is willing to accept a Bachelor's degree in Computer Science, Engineering, or related field of study, or related plus 5 years of experience in the job offered or 5 years of experience as a Developer or a related role. All applicants must have at least 3 years (5 years if in possession of a relevant Bachelor's degree) of demonstrated experience developing and supporting database-driven applications using T-SQL on SQL Server 2000/2005/2008
  • All applicants must also have demonstrated experience with: (1) using reporting software technology (e.g., SQL Server Reporting Services, Crystal Reports, Cognos, or similar tools), (2) managing developed code in a .NET environment (e.g., C#, VB.NET, etc.), (3) business process automation, (4) extensive scripting (e.g., SQL, PowerShell), (5) working in a production environment, (6) using source control management (e.g., TFS, SVN, etc.), (7) changing control management activities to support UAT and production deployments, and (8) server performance tuning
141

Senior Data Analyst Resume Examples & Samples

  • Designs standard and custom reports/dashboards that are prepared for use by Operations, Performing Rights/Writer Publisher Relations, Licensing, Legal, Senior Management, and external customers (audio and a/v sources)
  • Presents detailed analysis to BMI management; written and verbal
  • Provides in-depth analysis of key Business data, and help form actionable recommendations to be used by Department and Senior Management
  • Leads detailed analyses of music share processing, performance metrics, distribution analytics, and applications
  • Assists in developing, creating, testing, and generating routine analytical reports and custom business analysis using Business Intelligence tools and SQL
  • Works closely with departments throughout organization to produce actionable analysis related to music usage, performance data, and historical trending of key business metrics
  • Collects, prepares, adjusts and analyzes quarterly and annual music usage data as obtained from Royalty Distribution processing files
  • Develops improved methods and recommendations for music use analysis
  • Converts files from various computer platforms such as mainframe, UNIX and PC
  • Maintains databases that are used by this department for music use and statistical research and analysis
  • Conducts research to gather information from a variety of sources, including BMI internal databases, the Internet and 3rd party data providers
  • Attend meetings
  • Assist in department projects in areas outside of regular workload
  • Good communication skills, both written and verbal
  • Must have knowledge of data processing concepts, basic statistics, and database concepts
  • Ability to write reports and business correspondence
  • Ability to effectively present information and respond to questions
  • Mathematical, statistical, and analytical aptitude – good at problem identification and solving
  • Above average ability with BI reporting tools such as Cognos, QLIK, Tableau, MS SSRS; advanced preferred
  • Solid SQL query writing skills
142

Senior Data Analyst Resume Examples & Samples

  • 4 plus years of relevant experience in the financial management industry and/or a technology role within the financial management industry
  • Knowledge of business functions and workflows usually obtained through related work experience in the following areas: financial operations, portfolio and project management, technology projects. SQL skills strongly preferred
  • An understanding of financial instruments and attributes of each security type, and an understanding of data governance functions
  • An understanding of data, data movement, and data quality
  • Goal oriented team player willing to work with a global group of professionals across Northern Trust Asset Management as a whole
143

Senior Data Analyst Resume Examples & Samples

  • Lead, manage, and evolve the support and community reporting needs of our Self Serve platforms, including development of Tableau Dashboards, Site Catalyst Reports, and Data Warehouse Extracts
  • Facilitate Mobile First reporting and validate accuracy of information flowing into and out of both Data Warehouse and Adobe Site Catalyst
  • Partner with our IT teams to understand data feeds from various sources into Data Warehouse for use in different reporting platforms, including SSAS Cubes
  • Manage internal/external reporting requests related to the performance of self serve metrics such as CIR, Engagement, among others
  • Partner closely with Operations and IT teams and be centrally involved in site enhancements, app development, etc to ensure reporting requirements are met upon implementation as they come down the pipeline
  • Work closely with other Digital Analytics teams to understand site tagging in place, being implemented, or being retired to align and prioritize deliverables from leadership
  • 5+ Years Experience with SQL (Teradata a Plus)
  • Experience with Site Catalyst (or other web traffic tools such as Google Analytics) required
  • Wireless industry knowledge a plus
  • Knowledge of digital analytics, metrics, and KPIs a big plus
  • Excellent communication skills (written, verbal, presentation)
  • Advanced knowledge of Excel (macro creation, automation, etc) a plus
  • Experience with creating insightful reports consumed by a wide audience
  • Ability to quickly learn and adapt to new technologies
  • Strong interpersonal skills with the ability to lead coordinated efforts among various teams
  • Ability to excel in a fast paced high impact environment
  • Ability to manage multiple multi-faceted projects and prioritize work to meet deliverables
144

Senior Data Analyst Resume Examples & Samples

  • A bachelor's degree computer science, business, engineering or a related discipline and approximately 6 years of related work experience; or a graduate degree and approximately 5 years of related work experience
  • Prior Business analytics or Consulting experience
  • Excellent facilitation skills that allow for business requirements consolidation and finalization
  • Familiar with US and Canadian data privacy laws pertaining to HR/employee information
  • Comprehensive data warehouse analysis and design experience, with full knowledge of data warehouse methodologies and data modeling
  • Proficient in one or more of major ETL (Export Transform Load), BI Reporting, OLAP (Online Analytical Processing) and Data Modeling tools such as SAS, Cognos, Business Objects, Hyperion
  • Sound knowledge of business intelligence products, best-practices and implementation methodology
  • Strong ability to analyze user requirements and build front-end BI applications according to specifications
  • Ability to be strategic, tactical and operational at any given moment of time
  • Experience working with business to understand reporting requirements, global requirement consolidation, detail design and overall performance and scalability from data model perspective
  • Effective leadership, project management and teamwork skills while being able to manage and support a team
  • Ability to cultivate effective working relationships with colleagues, stakeholders and service providers at all levels
  • Ability to advise, recommend and present requirements and solutions to complex problems and cope with ambiguity
145

Senior Data Analyst Resume Examples & Samples

  • Analyze, review, forecast, and trend complex data
  • Develop recommended business solutions through research and analysis of data and business process and implement when appropriate
  • Experience with extracting source data and manipulating it into meaningful information/reports
  • 3+ year of experience in business / finance analysis
  • 3+ years in a reporting and analytic role
  • 1+ year of experience with extracting source data and manipulating it into meaningful information / reports
  • 1+ year of experience gathering requirements from the client / business and documenting
  • Advanced level of proficiency with PC based software programs and automated database management systems required (Excel, Access, PowerPoint)
  • Intermediate experience in SQL, SQL Reporting Services, or equivalent data capture / reporting tools
  • Intermediate level understanding of ODBC, and MS excel (VBA, macros)
  • 1+ year of experience developing and modifying queries of source data from a variety of applications to create accurate and timely reports upon request
  • Experience Call Center data sets, metrics and systems
  • Excellent analytical and problem solving capabilities with special attention to accuracy and detail
146

Senior Data Analyst Resume Examples & Samples

  • Architect/Design Data Warehouse infrastructure and solutions
  • Develop, enhance, integrate Data Warehouses/Data Marts and Business Intelligence Solutions
  • Test Data Warehouses/Data Marts
  • Deploy and Maintain Data Warehouses/Data Marts
  • 2+ years of Visual Basic development experience
  • 3+ years of SQL experience
  • Visual Studio or other OO languages
147

Senior Data Analyst Resume Examples & Samples

  • Navigate a complex data environment to produce information needed in response to regulatory exams and inquiries
  • Work with business partners to develop and refine standardized data production processes
  • Understanding of various financial products, including mutual funds, equities, bonds and annuities
  • Experience working within complex financial services data environments is required, 7-10 years’ experience with a broker-dealer is preferred
  • Strong SQL experience and understanding of relational databases – both MS SQL Server and Oracle
  • Capable of effectively planning, prioritizing and executing multiple tasks concurrently, consistently meet established deadlines, and deliver exceptional results
  • Able to work independently in a fast paced and dynamic environment
148

Senior Data Analyst Resume Examples & Samples

  • Support the integration of environmental sustainability requirements into sector innovation processes (Stage Gate)
  • Establish a global database for Life Cycle Assessment results to support and inform product innovation and supply chain decision-making
  • Greenhouse Gas Emissions Goal Support
  • 7+ yrs experience in data management and analytics, programming and/or IT with specific experience in managing information and reporting in a commercial environment
  • Packaging experience/exposure preferred. Understanding of procurement/supply chain processes and responsibilities preferred. This role can virtual for the right candidate
  • Clear and analytical thinker with the ability to identify process improvement opportunities and visualize "white space" data management and reporting solutions given specific functional requirements. Ability to quickly learn (execute and troubleshoot) new software/programs
149

Senior Data Analyst Resume Examples & Samples

  • Analyze large structured and unstructured datasets across multiple channels, for multiple products, using numerous and diverse automated systems to identify or confirm theft, fraud or non-compliance with Corporate policies and procedures
  • Provide professional analytical expertise through data mining, pattern analysis techniques and reverse engineering that will support evidence based investigations and/or assessments of Corporate processes
  • Prepare evidence based reports and documentation in support of investigations into incidents of theft and/or fraud that if necessary, will meet the evidentiary standards of the judicial system
  • Participate in a wide ranging variety of projects as assigned, either independently or as a team member, and where it will be expected, your analytical and data investigative skill sets will contribute to the success of the project
  • Possess a functional understanding of the various point of sale systems and related transactional sale/product return/refund processes within the various CTC banners, PartSource, Marks, Petroleum, SportChek and Canadian Tire
  • Act as the primary support for investigators during store investigations, with an understanding that investigations are constantly evolving and occasionally may require additional analysis and documentation preparation on an urgent basis
  • Actively support and foster a diverse work environment that emphasizes high performance, teamwork and professionalism
  • Assist in OSINT gathering and possess a strong understanding of methods used to in the collection of open source materials
150

Senior Data Analyst Resume Examples & Samples

  • Partner and collaborate with business leadership on complex, single and multi-variable research questions to yield insight and a more informed decision making process by using a combination of structured and unstructured data
  • Engages with project sponsors and stakeholders to understand the business question. Probes for hidden questions and goals. Helps bring structure to each request and translates requirements into an analytical approach
  • Lead with advanced tools such as regression, hypothesis testing, and control charts. Demonstrates independence and proactive thinking while pursuing and promoting discussion that will lead to greater client insight, optimized performance, enhanced engagement, and improved retention
  • Communicate results, interpretations, and conclusions in a manner that maximizes the understanding of others. Makes the case for change, sizes the opportunity area, and when necessary influence the audience off of traditionally held perspectives
  • Manage a portfolio of work to ensure timelines are met and clients are informed of progress. Work with business partners and supervisor to ensure appropriate prioritization of work
  • Aid the analytical development of Reporting Analysts and Data Administrators through structured coaching and development sessions. Assist them with getting up the learning curve
  • Partner with other internal data user groups such as Client Insight and RDS to ensure the existing data infrastructure environment is capable of supporting analytical questions and to further enhance that capability when opportunities arise
  • Gathers data across channels (e.g. web, phone, mail, email) when applicable to ensure a complete understanding of client behavior and potential opportunities
  • Initiates, develops, and implements improvements to enhance departmental capability. Seeks to maximize automation
  • Identify, implement, and support thorough testing and quality controls to ensure only the highest quality outputs are delivered to our clients
  • Ensures that client needs are met in a thorough manner through maintaining a deep understanding of all data sources including but not limited to Cognos, Enterprise tables, and Retail Data Warehouse. Can successfully leverage various tools for report development (e.g. building queries from scratch in Cognos including basic joins, Excel, and Access). When applicable, uses knowledge depth / experience to troubleshoot any / all issues associated with data gathering and availability
  • Undergraduate degree or an equivalent combination of training and experience
  • Minimum of 3 years work experience in an analyst role preferred
  • Strong client relationship management skills, able to collaborate on requirements and influence when applicable
  • Experience with advanced analytical tools (e.g. regression, hypothesis testing tools, etc.), able to apply a logical problem solving approach to complex situations
  • Solid knowledge of reporting tools to include; Excel (includes macro proficiency), Access, Cognos, Enterprise tables, Retail Data Warehouse, and Minitab
  • Proven ability to work effectively and independently with strong time management skills
151

Senior Data Analyst Resume Examples & Samples

  • Understanding portfolio liquidation performance trends through creation of MI and Insight for internal TDX stakeholders, clients, and suppliers
  • Creating and executing innovative strategies to enhance portfolio performance, in line with the TDX test & learn framework
  • Providing analytical insight and recommendations to the Agency Management and Client Relationship teams to optimize portfolio performance
  • Effectively integrating into the analysis team and proactively manage relationships with stakeholders across all business function
152

Senior Data Analyst Resume Examples & Samples

  • 5-7 years relevant experience
  • Advanced knowledge of the technical environment/tools for own area
  • Consulted as expert subject matter expert in at least one area of discipline to support clients/or project teams with research, analysis, design, hardware/ software support, solutions development and testing
  • Capacity and eagerness to work independently as a senior/lead role on multiple tasks, and also coach/educate/guide/direct others
  • Ability to assume assignments that are moderate- to highly- complex and multi-faceted, to be performed under management guidance
153

Senior Data Analyst Resume Examples & Samples

  • The Sr Data Analyst's primary responsibility will be to receive and solve analytical business problems posed by all levels of management top to bottom including C-Suite to operations at WebMD. The topics of discussion will cover finance, marketing, and operations
  • Meet with marketing, project and product management staff, at all levels, to understand goals and data sources such as
  • 3 + years’ experience in financial or marketing analysis
  • Bachelors degree in economics, finance, marketing/relateble filed or 4 years equivalent experience
  • Strong database analysis experience
  • Excel and database analysis skills (e.g. Access, SQL, Oracle)
  • Comfortable with PowerPoint and making presentations to large and small groups in planned and ad hoc environments
  • Ability to explain complex quantitative analyses to senior management
  • Excellent organization and documentation skills
  • Strong ability to multi-task in a fast-paced environment
  • Strong ability to be responsible, accountable and result-driven
154

Senior Data Analyst Resume Examples & Samples

  • Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets
  • Provide optimization recommendations that drive KPIs established by product, marketing, operations, PR teams, and others
  • Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes
  • Desire to participate in an “Open Source” learning environment where sharing, documenting, teaching, and collaborating with others is the culture
  • 5+ years relevant experience with a proven track record of leveraging analytics to drive significant business impact
  • Bachelor's degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related field
  • Statistical knowledge and intuition - ideally utilized in A/B testing
  • Experience with distributed databases and query languages like Hive, Spark, Scala, or Pig
  • Programming experience with a scripting language such as Python, Perl, Java, or Ruby
  • Proficiency with a statistical analysis tool such as R or SAS
  • Relational, no-SQL, and/or columnar data experience required
155

Senior Data Analyst Resume Examples & Samples

  • Develop a deep understanding of engagement and retention drivers by persona/journey and provide insight on how to maximize return against key business metrics
  • Build recommendations on effective customer journeys and provide product improvement opportunities that increase sales and adoption
  • Analyze consumer behaviors, expressed preferences, and response to media and marketing efforts
  • Apply analytical skills to develop more advanced solutions that drive action in the business
  • Bachelor’s Degree and 5 or more years of experience analyzing massive sets of technical transactional data
  • Experience constructing Boolean and SQL-based queries
  • Advanced Excel skills for analysis, dashboarding, and data manipulation pivot tables, conditional statements, VLOOKUP, statistical packages, macros, correlations/regressions
  • Strong visualization skills (Tableau, D3, web apps)
  • Experience collaborating with and articulating recommendations to sophisticated technical audiences
  • Confidence to take ownership of projects and make decisions in a fast-paced environment with minimal documentation and process
  • Experience in digital, mobile, and/or VOD services
  • Experience in digital entertainment industries
156

Senior Data Analyst Resume Examples & Samples

  • Prepare and maintain analytics around functional headcount, revenue, COGS, and operating expenses by function, company and jurisdiction
  • Develop and maintain analytical models that
  • Bachelor’s degree in Finance, Economics, Statistics and/or Accounting
  • Minimum 3-4 years in a financial analyst role, working with global companies
  • Strong mathematical/analytical background with ability to understand complex data and solve difficult problems
  • Highly motivated self-starter who can work with minimal supervision and guidance
  • Strong written and verbal English communications skills in order to articulate the results of the analytics and to draft memorandums
  • Strong excel skills; access database skills preferable
  • Experience using Essbase and Business Objects is preferable
  • Results – and detailed – oriented with the ability to manage conflicting priorities effectively
  • Ability to work in a team environment and effectively collaborate
  • Experience in managing/directing junior staff is desirable
157

Senior Data Analyst Resume Examples & Samples

  • Develop working solutions to custom client requirements and Data services automation requirements, keeping in mind product capabilities, scope limitations and the impact on integrated products employing SQL Server built in features and analytical methods
  • Design specific databases for collection, tracking, and reporting of administrative clinical data and Operational Product Data for IT Operational performance analysis using SQL Server Management Studio 2008/2012 R2
  • Design, code, test and debug custom SQL queries and generate financial, utilization, cost reports and IT Operational Performance metrics, using Microsoft SQL queries, SQL Server Management Studio and SQL Server Reporting Services
  • Design, execute and implement IT Automation solutions and perform complex clinical and financial analytics as needed by clients and executive management, utilizing MS office suite and SQL database technologies
  • Prepare documents and presentation materials describing multiplatform IT Automation design and solutions, analytic methods, observations and findings of analytics, and/or business logic flow employing MS office suite
  • Perform root cause analysis to identify data flow issues/ system performance issues and/or data discrepancy issues of the IT Operations team
  • Serve as an expert resource to develop and implement Operational performance tracking models, analytical and statistical models on large HealthCare-data bases
  • Identify and Perform analytics on manual operational bottlenecks across various Product offerings for performance optimization and streamline IT operational deliveries
  • Designs and develops software product applications for automating the manual Operational tasks across various Product offerings. Involved with full software development lifecycle including testing, implementation and auditing
  • Diagnose and address issues as necessary and work with product team to implement correction plan
  • Extensive latitude for independent judgment
  • Ensures designs, code and processes are optimized for performance, scalability, security, reliability and maintainability
  • Works without supervision on highly complex projects
  • Assists less experienced peers with the Automation and Operational tasks, analytical functions and processes; and
  • Use SQL Server Management Studio and SQL Server Reporting Services to design, develop and perform advanced-level Data Analysis in support of the product offerings
  • 3 years of experience with analytic and data management or software development environment
  • 3 years of experience with developing database driven projects using T-SQL or PL/SQL on SQL Server/Oracle
  • 3 years of experience with involved or participated in the Automation initiatives
  • 3 years of experience with MS Excel (intermediate/advanced level Excel incorporating visual basic, and/or excel macros), PowerPoint, Project, and SharePoint; and
  • 3 years of experience with SQL database tools
158

Senior Data Analyst Resume Examples & Samples

  • Conduct data analysis to provide insight into marketing and product opportunities within targeted consumer segments
  • Conduct data analysis to answer specific business questions asked by clients and/or support teams; use data to establish facts and draw valid conclusions
  • Synthesize analysis findings and communicate to internal partners to drive further understanding of the consumer lifecycle and ultimately influence revenue projections
  • Manipulate data to make it usable for analysis by summarizing data points, creating new metrics, and addressing data quality issues
  • Make recommendations to drive revenue and/or profitability growth, including creation of programs or initiatives, through independent thought based on analysis and a comprehensive understanding of the business
  • Produce analysis that highlights current trends in the account base as well as identifying when trends are impacted by changes in subscriber behavior or other market forces
  • Perform analysis in support of forecasting to identify trends, seasonality, and other demand impacting variations
  • Respond to ad-hoc reporting requests, which may be well defined or posed more generally as a question, by gathering, manipulating, and analyzing data
  • Under minimal supervision or direction, improves existing procedures and creates new Sales Operations policies and/or procedures
  • Maintains written departmental standards and procedures
  • 5+ years of business-focused analysis experience in a data analytic, information technology, finance or marketing role
  • Must be able to analyze data/situations and present recommendations
  • Must be process and efficiency focused
  • Expert user of both Microsoft Excel and Microsoft Access. Must be able to produce reports and documentation using advanced Microsoft Excel and Access functionality (i.e. pivot tables, table merges, interactive forms etc.)
  • VBA/SQL knowledge a must
  • Excellent writing, editing, communications, organizational, and decision making skills
  • A strong understanding of database usage, management, and best practices
  • Ability to learn and utilize various software applications related to the position
  • Data management and analysis capabilities, including the ability to design and develop data extraction and transformation solutions
  • General business acumen
159

Senior Data Analyst Resume Examples & Samples

  • Gather and analyze business requirements from business process owners, document functional requirements, develop/recommend solutions and identify any potential change impacts
  • Assist in leading the adoption of Kiewit’s project information database, Cosential, across the company
  • Work with developers to define requirements and test solutions
  • Provide training and coaching to support team, project team and end users
  • Assist the OFA with coordinating with KTG for Cosential integrations including TED, PI, CRM, and EDW
  • Conduct testing of system updates specific to marketing/proposal teams (validating business processes as necessary)
  • Ensure proper communication to all levels of the organization
  • Complete a variety of work assignments (project as well as support) within structured deadlines
  • Follow corporate project management procedures
  • Able to work independently, evaluate risk, communicate and escalate issues to manager
  • A good team player and collaborative worker with a positive attitude
  • Good interpersonal skills to assist with communications
  • Ability to work on a number of deadline driven projects simultaneously with a sense of urgency
  • Strong communication, analytical, time management, organizational skills and detailed oriented
160

Senior Data Analyst Resume Examples & Samples

  • Global Data, Insights and Analytic (GDI&A) Team is a new and rapidly expanding group
  • The GDI&A Data Operations is responsible for the discovery and curation of new and existing data sources (First party data, external data providers, public data, social media, digital exhaust, transactional data etc.) for use in building incremental value and insight for the business
  • The Data Acquisition Specialist is responsible for the global research, documentation, testing and acquisition of external data assets, aligned to internal customer needs
  • This position is responsible for the evaluation and profiling of external data sources
  • Analyze new and existing external data sources to suggest fit for use cases
  • Collaborate with Analytics and IT teams to profile the data for eventual use in modeling and visualizations
  • Able to identify relationships in data to assist in providing insights
  • Enhancements to the external data & vendor knowledge system
  • Establish relationships with vendor technical points of contact and internal customers
  • Work cross-functionally to manage data and analytic projects
  • Improve department results through innovation
  • Evaluation of data accuracy, completeness, timeliness and stability and establishing repeatable, sustainable processes to maintain data
  • Develop business controls to comply with legal and regulatory requirements and corporate policies
  • Demonstrated SQL and Alteryx skills. (SAS or Tableau accepted as alternatives)
  • Strong experience in profiling data
  • An understanding of creatively visually depicting data
  • Strong collaboration and presentation skills
  • A passion for embracing innovation, discovery & constant learning
  • Demonstrated problem formulation and problem solving skills
  • Bachelor’s Degree 2 or more years of experience with using at least one of the following data analysis tools: SAS, Hive, Alteryx, Hadoop, SQL or QlikView
  • 3 or more years of PowerPoint and Excel experience
  • 3 or more years of analysis, computational complexity and critical problem solving
161

Senior Data Analyst Resume Examples & Samples

  • Enhance and re-engineer sophistication of monitoring tools and quality control checks for continuous process improvement and operational efficiencies
  • Implement the performance enhancing practices within/across teams
  • Gather and/or clarify requirements for customized data analysis, reporting, and data extracts
  • Perform the resulting SQL development and deliver validated results
  • Configure new parameters and processing runs to identify and implement relevant operational metrics and informal and formal status reporting for management
  • Validate successful completion of processing runs through established quality control checks, leading advanced troubleshooting of processing and reporting errors often as the second level of diagnosing, researching, and addressing operational data requests; and
  • Engage in the release of new revised code to the production environments
  • Master's degree in Computer Science, Engineering, or related field of study, plus at least 3 years of experience in the job offered or 3 years of experience in IT-related occupation. In lieu of the Master's degree plus 3 years of experience, Employer will also accept a Bachelor's degree in Computer Science, Engineering, or related field of study, plus at least 5 years of experience in the job offered or 5 years of experience in IT-related occupation
  • All applicants must have demonstrated experience with: (1) T-SQL debugging; (2) SQL performance tuning techniques; (3) developing managed code in a .NET development (e.g., C#, VB.NET, etc.); (4) business process automation; (5) scripting experience (e.g., SQL, PowerShell); (6) working in a production environment; (7) source control (e.g., TFS, SVN, etc.); (8) change control surrounding UAT and production; and (9) ETL processing
162

Senior Data Analyst Resume Examples & Samples

  • Bachelor’s degree required, Master’s degree preferred. Educational background (and/or experience) emphasizing quantitative skills and research methods (e.g. Mathematics, Statistics, Social Science etc.); 4 years of related experience or equivalent combination of education and experience
  • Excellent analytical reasoning and problem solving skills; ability to compile, analyze and interpret data
  • Ability to produce both descriptive and inferential statistical analyses; proficiency in a programmable statistical analysis software (Base SAS, SPSS syntax, STATA, etc-SAS strongly preferred)
  • Demonstrated ability to use various other software packages such as Microsoft Office products (Excel, Word, PowerPoint, etc.)
  • Demonstrated understanding of relational databases and SQL
  • Excellent interpersonal, verbal, written, and visual communication skills
  • Ability to convey complicated data and complex statistical results as organized and easily understandable information
  • Experience with exploratory analysis and graphic visualization tools such as Tableau or QlikView
  • Excellent organizational skills, including a keen orientation to detail and deadlines, as well as the ability to prioritize work and handle multiple tasks simultaneously
  • Ability to handle confidential materials professionally and to utilize discretion in releasing confidential information
  • Ability to maintain accurate and detailed records and documentation
  • Ability and desire to acquire new knowledge and skills independently
  • Ability to work independently as well as be part of a team
163

Senior Data Analyst Resume Examples & Samples

  • Identify opportunities for expanded OCD capabilities include best-in-class shopper segmentation, shopper intelligence platform, online and offline marketing, personalization and relevancy across all elements of the marketing mix (from e-circ to targeted direct mail/email, to personalized content), retail strategy and digital strategy, and advanced analytics in support of both the marketing and merchandising functions
  • Work with client partners and product strategy leads to tailor proposals and pricing to identified opportunities
  • Assist in the client-facing delivery of expanded analytic capabilities where appropriate
  • 8+ years of demonstrated success in analytic leadership and/or analytic consulting roles in the field of marketing analytics, media analytics, marketing research, direct marketing, or analytic function at a leading CPG Retailer
  • BA or BS in Economics, Mathematics, Statistics or equivalent quantitative discipline. MS or MBA with business analysis or quantitative focus preferred
  • Experience working with CPG Retailers and high proficiency leveraging shopper behavior datasets
  • Hands-on experience conducting analyses that interrogate large, diverse datasets, and translating findings into practical and actionable business decisions. This is a hybrid role, requiring a combination of hands-on analytic capability, the ability to effectively communicate complex analytics in a simple, client-friendly way, and the ability to use data to formulate actionable business recommendations
  • Experience in the digital media space, including analysis of online consumer behavioral data, targeting, digital measurement and/or attribution, etc. highly preferred
  • Success leading client relationships focused on utilizing data to enable decision-making, with strong presentation skills and experience interacting with CPG Retail clients across a range of functions (marketing, analytics/insights, media planning etc.) and levels (manager to director to C-level)
  • Experience using analytics software packages to run and QC statistical models. Specific coding/programming experience is not mandatory, but will strengthen consideration
  • Ability to work in a demanding, fast-paced and dynamic work environment
  • Demonstrated success in driving successful client and business outcomes in an environment where multiple stakeholders have separate interests and objectives
164

Senior Data Analyst Resume Examples & Samples

  • 7+ years of BizTalk architecture,design,implementation,and/or support of highly distributed and large scale applications
  • Solid understanding of BizTalk components and setup including BAM,BRE, Maps/Transformations, Pipeline components, and Adapters
  • 5+ years of experience in BizTalk ESB architecture, message queueing,pub/sub models, common integration principles, and best practices. Strong knowledge of SOA,EAI and B2B integration design patterns
  • 5+ years of experience in developing and integration with webservices APIs. Strong knowledge of related technologies - WCF,WPF,IIS,REST,SOAP,XML,XSD,XSLT and JSON
  • 5+ experience with requirements gathering, creating specifications, business process diagrams, collaboration with business, infrastructure and technical teams ;Ability to analyze requirements and propose innovative but workable solutions
  • 2+ experience in the analysis, design and migration of BizTalk solutions – from Biztalk to higher version of Biztalk or Biztalk to other technologies
  • Knowledge of RDBMS systems and CRUD operations – MS SQL Server 2012
  • 2+ experience working with Agile methodologies
  • 2+ experience with Team Foundation Server(source control, automated builds)
  • Experience working with testing tools – Nunit, Microsoft Test Manager
  • Certification in BizTalk 2010 or 2013 R2 or previous BizTalk certifications is highly desirable
  • Experience working with Java integration tools – preferably Mulesoft
  • Experience migrating BizTalk solutions to another technology/tool is highly desirable
  • Some experience with Pharma/Biotech industry preferred
165

Senior Data Analyst Resume Examples & Samples

  • Analyzes data and insights using spend analysis tool (an IT capability used to understand trends in spend by category, supplier, and division, and predict optimal pricing and supplier partnership options). Develops creative, technically sound recommendations and data reports on processes, business, client and crew performance to department management
  • Partners with the Data Services Manager in the strategic and technical direction of Shared Services Data team
  • Consults with internal clients and interprets requests for information to determine appropriate sources of information and data mining techniques to be employed
  • Support Category Managers (and teams) in ad-hoc data analysis in support of category strategy development and savings generation (e.g. should cost analysis)
  • Develops strong working knowledge of data sources and data mining tools
  • Reviews end product with the requestor to ensure adequate understanding. Provides data analysis guidance as required
  • Documents project deliverables, including but not limited to program descriptions, run instructions, and run frequency, paying attention to team guidelines
  • Minimum of four years' experience in data mining, data analysis, data management, and data stewardship
  • Advanced experience with data modeling concepts, database design for relational and multi-relational databases (minimum one year)
  • Advanced knowledge of advanced analytical tools (e.g., regression, hypothesis testing tools) and current versions of the Microsoft Office Suite (specifically Excel and Access), including VBA
  • Strong, demonstrated analysis and problem-solving skills
166

Senior Data Analyst Resume Examples & Samples

  • Formal training in computer programming
  • College degree in Computer Science (CS), Information Management (IM), Information Systems (IS) or related discipline
  • Minor in Business, Finance, Economics or Statistics or Mathematics a plus
  • Business/Finance or related degree with a minor in (CS, IM or IS) is also acceptable with tangible work experience
  • At least 1 year of experience working with Fixed Income data and/or Fixed Income markets
  • Technical Skills: Proficient with SQL query writing in a relational database environment (Sybase or SQL Server preferred)
  • Knowledge of ODBC or other data interface APIs
  • Intermediate to advanced knowledge of MS Access and MS Excel (exposure to advanced macro writing using VBA)
  • Familiar with the software development life cycle
  • Familiar with ETL tools, SSIS is a plus. Prior experience with a business intelligence/reporting tool is a plus
  • In depth ability to grasp both business and technical processes and concepts
  • Excellent written/oral communication and interpersonal skills with a strong ability to effectively communicate both technical and business terms
  • Demonstrated ability to coordinate multiple projects and priorities simultaneously
  • Business analysis experience is a plus
  • Well organized, efficient and detail oriented
  • Strong sense of accountability, and a strong work ethic
  • Ability to research technical aspects and resolve problems with minimal supervision
167

Senior Data Analyst Resume Examples & Samples

  • Develop proactive data strategies and present recommendations to leadership and identified audiences regarding the market, competition, and our position in the market place
  • Complete accurate and timely metrics and reporting. Research, analyze, and validate the primary source(s) for definitive data and completeness to feed metrics associated with Retirement Investment Services
  • Effectively utilize complex computer programs to mine data sources providing relevant information in an easily consumable manner
  • Lead project team members to thoroughly develop and maintain processes or systems in accordance with scheduled target dates
  • Perform other job related duties or special projects as required
168

Senior Data Analyst Resume Examples & Samples

  • Gather business requirements for analytical applications in iterative/agile development model
  • Create source-to-target mapping based on requirements
  • Create rules definitions, data profiling and transformation logic
  • Gather and prepare analysis based on requirements from internal and external sources to evaluate and demonstrate program effectiveness and efficiency, and problem solving
  • Support Data Governance activities and be responsible for data integrity
  • Develop scalable reporting processes and querying data sources to conduct ad hoc analyses/detailed data profiling
  • Research complex functional data/analytical issues
  • Assume responsibility for data integrity, data quality among various internal groups and/or between internal and external sources
  • Provide source system analysis and perform gap analysis between source and target systems
  • Make recommendations for data warehouse / mart design
  • 3 or more years of data reporting experience
  • 3 or more years of data analysis experience
  • 3 or more years of systems analysis experience
  • 3+ years of experience with ETL tools
  • 1+ year of healthcare industry/claims data experience
  • Data modeling and data architecture experience
  • Experience organizing, sorting and filtering data in order to distinguish patterns and recognize trends
  • Experience in data profiling/analysis with Big Data/Hadoop processing environment
  • Experience developing innovative approaches
169

Senior Data Analyst Resume Examples & Samples

  • 3-5 years’ experience in a data analytics position
  • 2+ years’ experience using database management systems (DMBS) using SQL to create, query and join tables
  • Demonstrated knowledge of structured data, such as entities, hierarchies, relationships and/or metadata, and ability to profile such data
  • Experience/proficiency with Microsoft Excel and PowerPoint
  • Experience using tools / platforms such as: Tableau, Hadoop, OBIEE, Access, or similar
  • Experience with the following systems: OMNI, systems and databases used within TIAA
  • Familiarity with Big Data concepts and terminology
  • Financial Services experience desired
  • Ability to combine data from multiple sources when needed for the analysis
  • Familiarity with data management best practices
  • Timely delivery of analysis, reports and presentations to support business reviews
  • Communication and interpersonal skills
170

Senior Data Analyst Resume Examples & Samples

  • Design dashboards, scorecards, and other tableau visualizations highlighting progress on but not limited to Data Centre Strategy, Workload Placement and Currency related initiatives
  • Extensive SQL query skills to leverage DataMart to produce tableau dashboard reporting
  • Provide technical leadership across a broad range of data analysis functions including data modeling, report design (utilizing tableau), structured query language (SQL), data quality, data profiling, metadata enrichment and management, data provenance and lineage and other specialized data management functions
  • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects
  • Extensive experience with Tableau reporting
171

Senior Data Analyst Resume Examples & Samples

  • Functional/technical proficiency with at least 4+ full lifecycle SAP implementations and 8+ years of industry and/or consulting experience
  • At least 8 years of SAP experience implementing SAP MDG
  • SAP SD, MM. PM, and or MDG experience a plus
  • Experience defining systems strategy, developing systems requirements, designing and prototyping, testing, training, defining support procedures and implementing practical business solutions under multiple deadlines
  • Adept at designing and implementing technology-enabled business solutions for clients as part of a high-talent team and as a team lead or Project Manager on at least 3+ full cycle implementations
  • Able to collaborate with clients, identify engagement follow-on opportunities and have a strong desire to excel and be committed to gaining exposure to multiple industries while further developing your career
  • Strong current hands-on configuration and design skills
172

Senior Data Analyst Resume Examples & Samples

  • Hands on experience with multiple databases - Oracle, Sybase, Informix
  • Hands on experience with no sql databases like Mongo DB
  • Proficient with database architectures
  • Knowledge on Java/JEE enterprise application architecture
  • Proficient with PL/SQL, stored procedures and views
  • Proficient with troubleshooting performance problems and solution recommendations for optimizing performance
  • Fine Tune database configurations
  • Respond to all tickets assigned to our team
  • Monitor databases checking for any problems
  • Set up database backup and recovery jobs for new databases
  • Install database engine on new database servers; Install database client software on workstations
  • Create and maintain Disaster Recovery Procedures; Participate in Disaster Recovery tests
  • Perform production database recoveries; Perform refresh of development and QA environments
  • Setup new database IDs and perform password resets
  • Consult on database design for new applications; Consult on database design for application changes and/or enhancements; Consult/assist developers with database access and data retrieval
  • Trouble shoot database issues; Apply database patches, updates and install new versions of database
  • We support multiple Customers on a daily basis
  • Attend CAB meetings; Provide On-call support
  • Cloning databases as per Service Requests; Carry out Regular maintenance activities to ensure optimal database performance
  • Qualification: Bachelor’s degree and/or required years of experience
  • 8-10 Years of work experience
  • Must have experience in Technical Process Expertise
  • Should be proficient in Technology Application and Technical Solution Design
  • Should have progressing skills in Continuous (Service) Improvement and Transition Management
173

Senior Data Analyst Resume Examples & Samples

  • Data analyst for business intelligence
  • Become an expert and train and support internal customers in Customer Service Operations in the suite of data based business intelligence products we are developing
  • Lead and participate in beta tests and pilots of new business intelligence services
  • Manage escalations with these services and drive requirements and issues back into the IT organization responsible for the underlying data framework and toolset
  • Experience working on business analytics/intelligence preferably in a large organization, in a role between software engineering and the end consumer of business data
  • Skill in the manipulation of large complex data sets, knowledge of one or more database query tools e.g. SQL. familiarity with statistical analysis e.g. hypothesis testing, regression, cluster analysis etc
  • Demonstrated experience and ability to lead cross-functional projects and develop organizational metrics
  • Networking capabilities within multi-national, cross-organizational and geographically distributed teams
  • Ability to explain complex technical matters to a non-expert audience
174

Senior Data Analyst Resume Examples & Samples

  • Work with key stakeholders in development and execution of market research studies with a focus on life science products
  • Statistical analysis of data, including analysis of customer segmentation and conjoint studies
  • Interface with finance and portfolio managers to develop financial forecasts and track key metrics for new product initiatives
  • Document and present analytically derived results to internal business partners
175

Senior Data Analyst Resume Examples & Samples

  • Perform all lifecycle maintenance services in a timely and accurate manner as required throughout the day
  • Prompt and accurate data maintenance in RefData and Confirms systems, ensuring necessary controls are adhered to
  • Assist trading operators and ISP support in resolving contractual queries arising day to day
  • Prompt reporting and resolution of any mismatch of data/terms within the back office systems and any other source of information relevant to the trade
  • Accountable for resolving queries with Settlements and other internal departments
  • Develop and maintain robust Front Office and stakeholder relationships
  • Understand the role risk profile and, in conjunction with the Data and Confirms Operations Delivery Manager, identify and mitigate operational risk issues
  • Assist the Team Lead to meet the SLAs between the Data Execution team and its customers through use of the appropriate metrics and KPIs
  • Ensure compliance with regulatory and legal requirements and ensure current business good practice is employed in the team
  • 2-3 years of working experience in similar environment
  • Master Data experience is an advantage
  • Ability to be accurate with good attention to detail
  • Ability to prioritize work and be organized, to multi-task, to work under pressure and comply with strict SLA’s
  • Ability to understand the end-to-end processes and how actions may impact them
  • Ability to understand the flow of data between systems and how changes may impact the business
  • Good understanding of systems and data structures
176

Senior Data Analyst Resume Examples & Samples

  • Bachelor’s degree in Business Administration, Computer Science or relevant discipline; or equivalent work experience
  • Strong data analysis skills. Strong experience with reporting analysis and systems analysis
  • Experience in data warehousing. Demonstrated knowledge and experience in requirements gathering and development
  • Has a solid level of understanding of multiple data sets, developing subject matter expertise
  • Relational database design and development
  • Experience with database and SQL server reporting service
  • Understanding of Data warehouse architecture and design
  • Strong understanding of data quality assurance processes and procedures
  • Understands correlation of data
  • Communicate technical information to a wide range of technical and non-technical audiences
177

Senior Data Analyst Resume Examples & Samples

  • Evaluate marketing results, trends, tests, and provide variance and root cause analyses to support business decisions
  • Translate large and complex data sets into actionable information
  • Provide analysis and support for key initiatives and strategic projects
  • Compiles, reviews, and presents complex marketing analyses to marketing managers/directors, identifying risks and opportunities
  • Partners with a variety of different marketing areas to gather information, understand business issues and challenges
  • Completes periodic sales and expense forecasts for advertising and direct marketing channels
  • Develops/assesses gaps in the financial planning process and make improvements as necessary
  • 3+ years Marketing Analytics, Forecasting, and/or Analysis experience
  • Advanced knowledge of Microsoft Excel (must be able to use Pivot tables, v-look ups, charts, graphs, and create formulas)
  • Experience using SAS and SQL tools for reporting and data manipulation
  • Experience working with large scale data warehouses
  • Bachelors Degree in Business, Finance, Economics, or Statistics
  • Strong written and verbal communication skills are required
  • Ability to work in a rapidly changing environment and possess the ability to work collaboratively and influence across a matrix environment
  • Able to demonstrate an understanding of how core business drivers influence financial results
  • Prior experience working with marketing mix tools
  • Prior experience working with digital attribution technologies
  • Experience forecasting marketing campaigns
  • Familiarity with Health Insurance products
178

Senior Data Analyst Resume Examples & Samples

  • Understanding and documenting business needs for large scale change initiatives, including data flow design, clinical program design and high level technology requirements
  • Interprets requirements and translates them into data requirements (interfaces, data transformation, etc.) for complex projects
  • Data mapping (e.g. between source and target databases; mapping screen fields to database columns)
  • Determining how existing technology and data solutions will need to change to support evolving business needs
  • Evaluate system changes for downstream system, reporting and / or organizational impacts
  • Identify and document as needed, current state processes and develop future state processes and procedures to support projects as appropriate for a variety of functional and operational areas, alone or in concert with other project team members
  • Become a business subject matter expert on Clinical Data Flows and integrated data assets (data stores, data warehouses)
  • Lead group meetings, provide agendas, and follow up with meeting minutes
  • Appropriately escalate and communicate project status and issues to management for support and / or guidance
  • Drive project execution for demonstrated results
  • 4 years of experience as a business analyst, writing requirements, performing data analysis, and report development
  • 2 years intermediate level of programming knowledge and of relational databases, database structures and design, systems design, data management, data warehouse
  • Excellent leadership, communication, organizational, prioritization skills
  • Demonstrated increasing responsibility for documenting and developing solution technology to support business problems
  • Bachelor's degree or 5 years of experience as a Business Analyst in a clinical environment
  • 5+ years equivalent experience in healthcare, hospital or insurance
  • 4 years of experience with multiple software development life cycle methodologies and requirements documentation approaches (features, user stories, use cases, domain models, logical data models)
179

Senior Data Analyst Resume Examples & Samples

  • Collaborate with Business product owners and technology to build and monitor analytic products that bring relevant property centric data the Financial Services Industry
  • Experience and background with US Property data, the real estate industry, or financial services
  • Perform data mining and query development in support of ad-hoc and strategic analysis
  • Analyze data and identify data anomalies or patterns through your analysis that will provide more explanatory detail about US property data and predictive analytics
  • Responsible for data importing, cleaning, transforming, validating or modeling data
  • Create summary findings and present data in charts, graphs, tables, and summary formats
  • Utilize tools to analyze, query and manipulate data according to defined business rules and procedures
  • Proficient in excel, pivot tables and SQL query development
  • Identify data quality issues and propose solutions which maximize automation and usage of data within the model
  • May update/maintain database with reviewed and corrected data
  • Critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level informationinto details, abstract up form low-level informaiton to a general understanding, and distinguish user requests from the udnerlying true needs
  • Proactively communicate and collaborate with internal customers to analyze information needs and functional requirements
  • Work independently with users to define concepts and under direction of product management
  • Serves as the conduit between the internal product group and the software development team through which requirements flow
  • Collaborate with developers and subject matter experts to establish the technical vision and analyze tradeoffs between usability and performance needs
  • Owns customer vision and requirements full cycle – requirements, design, implementation, testing, user acceptance, deployment, and maintenance
  • Latitude for independent judgement
  • Ability to capture business requirements and tranlate them to the technical team
  • Ability to create technical as well as end-user system documentation
  • Experience working an an Agile/Scrum SDLC (desired)
  • Experience working with credit & property data (desired)
  • Work location in either Santa Ana, CA or Folsom, CA*
  • Typically has 3-5 years of directly related experience
  • Knowledge of required tools to query and manipulate data in varying formats including SQL, Excel
  • Ability to follow and develop data quality standards, metrics and audit procedures
  • Knowledge of databases, formation and manipulation
  • Knowledge of programming
  • Conveys complex technical issues/problems to programmers in a clear/concise manner. Must be familiar with basic data/programming terminology to communicate as much of problem and solution as possible
  • Demonstrated foocus for customer satisfaction
  • Able to manage client relationships
  • Strong critical thinking, analytical and problem solving skills
  • Good multi-tasking skills
  • A strong drive for results
  • Excellent influencing skills
  • Detail oriented with strong organizational skills
  • Excellent relationship management skills
  • Objective, creative, and diplomatic team leader
  • Excellent stakeholder engagement
180

Senior Data Analyst Resume Examples & Samples

  • Using a variety of source systems, create and produce on a regular basis professional, detailed metric analysis reports related to all aspects of HRSC operations. Using a variety of reporting or analytics tools as well as Excel and PowerPoint, create professional ad hoc analyses, measures, or reports related to HR SC operations
  • Field ad-hoc and project related reporting and analysis inquires by clarifying requirements and setting expectations for development time
  • Present these metrics and analyses to HRSC management team along with insights or suggestions for interpretation or for follow up actions. Identify potential improvements based upon analyses
  • Manage a metrics inventory including identifying and adding new metrics and documenting and maintaining the specification of all metrics in the inventory
  • Monitor and analyze operational measures (routine and ad hoc) to watch for indications of issues or problems
  • Learn and study HRSC industry benchmarks; compare HRSC metrics and data to these benchmarks and suggest follow up actions or areas of study
  • Work collaboratively with HR systems groups (HR and IT&S) and HR analytics function to manage data and produce accurate and meaningful analyses
  • Manage projects to implement process and technology improvements for the HRSC. Work with CPI team members to re-engineer processes that will streamline and automate HRSC functions; identify technology requirements; liaise with other functions, as required
  • Deliver continuous process improvement training to HRSC staff on processes/programs supported by the HRSC; assist other team members in developing content and working with the L&OD Center of Excellence to develop training for impacted stakeholders
  • Update the knowledgebase, when updates are available
  • Update process documentation and desktop procedures
  • 3-7 years of experience with quantitative analysis and statistics in a business environment
  • Proficient use of Excel, including charts and graphs, pivot tables, and data connectivity; proficient use of PowerPoint
  • Innately curious about how and why things work and tenacious in using data and facts to satisfy that curiosity
  • Proficiency with SQL Server database development, stored procedures, views, and ETL
  • HR service center, shared services center, or customer service center experience a plus
  • Strong verbal and, written communication skills, excellent presentation skills
  • Ability to handle multiple priorities, frequent change, and short deadlines
181

Senior Data Analyst Resume Examples & Samples

  • Develop programs to monitor physician performance on clinical indicators using SAS and an internally developed Unified Expression Language based syntax
  • Investigate issues in healthcare data from acquisition through presentation in the UI
  • Implement analytic directives on healthcare data from senior staff and clients and develop reports as needed
  • Assist in designing, documenting, programming and standardizing processes and reports
  • Assist in clinical quality measure configuration
  • Participate in quality assurance of clinical quality measures including test case creation, SAS/SQL/Unified Expression Language/XML code review, independent results validation, and pulling of sample cases from client data to support User Acceptance Testing
  • 2 years of experience with healthcare data and large databases
  • Advanced SAS programming skills, including proficiency in Base SAS, SAS MACROS, Stored Procedures, SAS/ACCESS to relational databases and Hadoop, and the SQL Pass Through Facility
  • Must be analytical, detail oriented, and possess desire to advance and grow personally and professionally
  • Ability to multi-task and manage multiple projects with varying timelines
  • Experience with Unified Expression Language and HiveQL a plus
182

Senior Data Analyst Resume Examples & Samples

  • Manage project and client relationship for small projects
  • Extract actionable business insights from the data and build deliverables that clearly communicate the findings and recommendations
  • Research industry metrics and business context and bring this context to bear in analyses
  • Present findings and recommendations to internal clients
  • Identify opportunities to create and automate repeatable analyses or build self-service tools for business users
  • Propose R&D ideas that will address client strategic needs or advance ADP IP
  • Contributes to team-wide efforts for achieving organizational goals, improving processes and knowledge sharing
  • 2 to 5 years of experience in an analytical or quantitative role in areas such as consulting, planning, analytics, or data driven strategy
  • Bachelor's Degree in quantitative field (Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent experience) is required
  • Master's Degree in quantitative field will be given preference
  • Experience in credit cards, financial services, merchant analytics (such as retail, hotels or airlines), or tech is helpful but not required
183

Senior Data Analyst Resume Examples & Samples

  • Degree in Engineering, Statistics or related field preferred but not required
  • Experience managing and analyzing KPI’s for a technical organization
  • High level of comfort working with monitoring and metrics infrastructure
  • Self-starter who is able to build consensus around goals beneficial to the organization
  • Proven ability working within technical architecture and related end-to-end data flow
  • General level of understanding of internet protocols
  • In depth experience utilizing Excel, Tableau or other tools to effectively present graphs, dashboards and reports
  • Familiarity with processing data via scripting languages (such as Python or other tools)
  • Experience performing a similar role in a Development or Technical Operations organization is required
  • Experience with Hadoop and Hive are preferred
184

Senior Data Analyst Resume Examples & Samples

  • Partner with product managers, business insight analysts and data analysts on Personal Banking analytics initiatives
  • Take ownership of and automate critical personal banking reports
  • Serve as an expert on Personal Banking data and provide coding expertise and best practices to place context around data discovery linked to key analytics projects
  • Provide data support to business users in partnership with the data governance and reporting team and ensure requirements regarding privacy and security of data and access controls are appropriately captured
  • Build strong relationships with product partners and other key internal partners (Enterprise Analytics, Data Governance & Reporting, Customer Strategy, Marketing, etc.)
  • Perform analysis, translating data into information and answering urgent business questions
  • Develop and maintain knowledge of available data sources and data within personal banking platforms in partnership with data reporting and governance team
  • Flexibility to adapt and manage within a fast-paced, dynamic business environment
  • Strong interpersonal and communication skills, both written and verbal
  • Strong organizational skills, with the ability to work in a fast paced environment and manage multiple deadlines and priorities
  • Experience working in both a technical and business context and able to translate technical concepts into easy to understand business language
  • Working knowledge of general banking / consumer finance products, policies and operations
185

Senior Data Analyst Resume Examples & Samples

  • Analytics on DFS portfolio management data to ensure accuracy and consistency of data
  • Aid in the operational management of DFS portfolio management data procurement
  • Interact with Credit Bureaus to gather information on attributes and match rates
  • Manage projects through entire project life cycle from initiating requirements through implementation and validation
  • Analyze portfolio reporting data and identify inconsistencies with Credit Bureau Reporting policies
  • Analyze data relating to customer complaints and disputes across DFS portfolios
  • Leverage portfolio account management data and other internal data to conduct independent analysis
  • Explore and implement process enhancements to improve efficiency and for continued monitoring of existing processes
  • Coordinate initiatives with external and internal business partners
  • Create dashboards and reports to present results of analysis to management
  • 3-5 years of experience in analytics and data mining
  • 2-3 years of experience in project management
186

Senior Data Analyst Resume Examples & Samples

  • Extract data from various source systems and data stores by performing light business coding (Java/.NET, scripting, etc.)
  • Meet with clients to conduct requirements gathering and perform validation in-person and over teleconference
  • Map and transform data using various techniques (XSLT, SSIS, MapForce, etc.) based on client input and requirements
  • Perform ad-hoc queries (SQL, LINQ, etc.) and reports to analyst client data before and after migration
  • Load data into target system and perform validation to ensure no data is lost or corrupted
  • Work with various teams to identify roadblocks, resolve issues, track go-live dates and ensure timely completion for each project
  • Documenting details of projects in Salesforce/Jira and complete cleanup tasks
  • Execute production data migrations (requires occasional evening/weekend work)
  • Contribute to on-going development and refinement of data migration tools and processes
  • Apply lessons to future projects and continuously improve the migration process
187

Senior Data Analyst Resume Examples & Samples

  • Support Regional and Global efficiency driven initiatives
  • Proactively identify opportunities to improve effectiveness of AML alerts
  • Responsible for the data mining, manipulation, formulation and proposal of newly developed solution
  • Analyze, prepare, present and interpret reporting or research results with recommendation to assist compliance and business users
  • Candidate should demonstrate exceptional critical thinking skills and have experience in applying intelligence analysis to drive dynamic decisions
  • Candidate should be well versed in applied research, quantitative and qualitative analysis (including multiple methods such as pattern or trend analysis, center of gravity or weighted centrality analysis, social network analysis, threat finance, targeting, etc.) to create intelligence from big data sets and drive decision recommendations
  • Big data analysis and bolt on components (Hive, Spark, Platfora, Python, etc) experience a plus, but not required
  • Candidate must have experience with data analysis, or have experience using statistical data methods and programs to develop intelligence analysis assessments and products; knowledge of data visualization a plus
  • Experience with graph or network analysis software (I2 Analyst Notebook)
  • 8+ years in intelligence or data analysis experience required
  • Business experience, financial industry, technology, information management, computer science, business intelligence or data mining background preferred
  • Bachelor’s Degree or additional equivalent work experience required (Computer Science, Computer Technology, Mathematics/Statistics, Engineering, Actuarial Sciences, Economics, Department of Defense or related intelligence discipline a plus)
188

Senior Data Analyst Resume Examples & Samples

  • 5 years’ experience in reviewing, updating and evaluating Navy Training Management corporate database systems such as CeTARS and FLTMPS
  • Must have ability to analyze data and detect trends as well as summarize findings, draw conclusions and put together presentations
  • Demonstrated experience in the annual review of training requirements in support of the Program Objective Memorandum (POM) process
  • Must be a US citizen and have active Secret clearance
189

Senior Data Analyst Resume Examples & Samples

  • CAA Team Member
  • 2+ years of experience with software development lifecycle
  • 5+ years of experience writing complex queries using relational databases
  • 5+ years of experience using Microsoft Word and Excel
  • Minimum of 1 year of experience with working with large databases (> 1TB)
  • Exposure to Teradata, DB2 and Oracle
  • Excellent written and verbal communications
190

Senior Data Analyst Resume Examples & Samples

  • Provide first line support for the business reporting tool - IntelliVUE
  • Design and implementation of strategic reporting and analysis to track operational performance
  • Constantly evaluate opportunities to improve MI quality
  • Pro-actively seek to improve MI procedures
  • Develop reporting in a user friendly format that supports the business and Operations
  • Ensure the quality of MI is excellent and that it is reliable and can be produced consistently
  • Prepare and maintain detailed documentation for all processes to agreed standards
  • Identify areas within the MI development and production environments where efficiency savings can be made
  • Provide analytical support across Operations and/or specific functional business units
  • Contribute to strategic business initiatives across Operations by providing performance analysis to support strategies
  • Identify the needs of the customer, design and produce new reports, analyse and improve existing reports to both internal and external customers
  • Proactively manage customer expectations and requirements ensuring that management information and analysis needs are met to agreed timescales and standards of accuracy
  • Act as a consultant to both internal and external customers on behalf of the team and represent the MI team to obtain requirements and report back to Operational management
  • Involvement in the analysis that takes place around contract variance work
  • Work with Bid Proposal Team, Business Solutions and all Operational stakeholders to ensure all Operational impact is factored into bid proposals and cost models
  • Be involved in the planning and implementation of new clients and the development of existing clients within all areas of Operations
  • Self-motivating with the ability to work with initiative
  • Complex problem solving skills
  • Analytical skills with the ability to research and extract information
  • Highly influential with excellent conflict management skills
  • At least 2 years’ experience within a similar role
  • Analytical qualification preferably at degree level
  • The ability to work to stretching targets and deadlines
  • A keen attention to detail and strong organisational skills
  • A demonstrated ability to communicate clearly and concisely with both oral and written forms
  • Ability to operate within the team concept effectively and foster a unified team spirit along with the ability to work alone
  • Be apprised of technologies and tools available
  • Continual professional development
  • Experience in a programming discipline, and the ability to read and understand Microsoft SQL server
  • Knowledge of Pearson VUE and systems
  • Working knowledge of programming methodologies
  • Knowledge of SharePoint development
  • Knowledge of https. development
191

Senior Data Analyst Resume Examples & Samples

  • As a senior data analyst you will be able to take full responsibility for all steps of an analytics assignment, from data and business value exploration, data structuring, modelling, problem solving and consulting & recommendation
  • You will support the Technology Division with your problem solving and data mining skills, in particular to support product quality improvements and warranty cost performance
  • You will develop & implement methodologies to assist project leaders in making forecasts and predictions, e.g. on quality or warranty cost performance of systems, components and vehicle models
  • Contribute to process and organizational development in all processes where our analytics tools are used
  • Support quality activities in solving processes and Strategic Objectives when applicable
  • Bachelor’s Degree in Engineering, Computer Science, Mathematics, Statistics or equivalent required
  • Master’s Degree in Engineering, Computer Science, Mathematics, Statistics or equivalent is preferred
  • 5 years' experience in data analytics required
  • Experience in SAS Institute data analytics tools such as Enterprise Guide, visual analytics, data mining, or data analytics tools from other vendors than SAS are considered a merit
  • Multinational company experience is a plus
  • 5 years’ of automotive industry experience is considered as merit
192

Senior Data Analyst Resume Examples & Samples

  • For Sr level a minimum of 4 years analytical work experience in a professional setting
  • Thorough understanding of business processes and systems knowledge
  • Database experience including the ability to create PowerPoint graphs, tables and information reports in slide format
  • Ability to prepare reports and conduct presentations
193

Senior Data Analyst Resume Examples & Samples

  • Collaborate with internal/external stakeholders to manage data logistics – including data specifications, transfers, structures, and rules
  • Provide proficient problem solving and data analysis, derived from programming and marketing/business experience
  • Proficient with toolsets (SAS, SAS ODS, SAS Access, SQL, Unix, MS Office) and large datasets
  • Document and articulate the steps taken in an analysis
  • Answer questions about data sets and analyses
  • Provide quality (QA/QC) analysis and related output
  • Take a proactive, independent role in project design, planning & execution
  • Effectively manage time and resources in order to deliver on time
  • Serve as project manager on analyses of limited scope, complexity
  • Prepare basic report content (Word, Excel, PowerPoint) including writing covering methodology and findings
  • Participate in presentation of results to key internal and external stakeholders, effectively communicating the key findings and recommendations
  • Bachelor or Master’s degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, etc.)
  • Minimum 2 years of experience in marketing analytics field
  • Some positions require a minimum of 2 years of experience conducting digital analytics
  • Proficient in SAS/SQL programming; minimum 3 years of experience
  • Strong analytic thought process and ability to synthesize and interpret findings
  • Acute attention to detail (QA/QC)
  • Proficient in MS Office, including PowerPoint, Word, Excel and Outlook
  • Solid planning, priority setting, and project management skills with experience managing multiple projects concurrently
  • Successful developing relationships within and across functional teams
  • Highly motivated and collaborative team player with strong interpersonal skills
194

Senior Data Analyst Resume Examples & Samples

  • Contributes to the development of project plans
  • Pushes for continuous improvement in process and technology
  • Develop frameworks that are used by multiple teams and applications
  • Must have experience in agile delivery within data management & analytics
  • Work with scrum masters and directors to define solution architecture, work tasks and estimates that will feed into the overall project schedule
  • Data platform will be developed using the modern data technologies including Hadoop, AWS, data pipeline using open source stack, Informatica big data edition
  • Apply data knowledge and critical/creative thinking skills to collect, transform, validate, and analyze data; design data processes and solutions
  • Bachelors or Master’s Degree in technical or business discipline or related experience required
  • Typically 3+ Years of experience in coding in data management, data warehousing or unstructured data environments
  • Knowledge of big data concepts, strategies, and methodologies; thorough knowledge of business functions and operations, objectives and strategies
  • Knowledge of insurance data and metrics with strong skills in logic and pattern recognition
  • Experience with database design, data model development, query languages, and ETL process
195

Senior Data Analyst Resume Examples & Samples

  • Leads in the evaluation of complex business requirements
  • Transforms client requests into project data deliverables to include data models, target data mappings and data transformation rules
  • Contributes to the development of project plans for data deliverables
  • Depicts complex ideas, issues and data designs to varied audiences; communicates project data objectives, scope and direction to project team
  • Contributes to data standards best practices. Communicates standards to development stakeholders
  • Supports development team throughout project lifecycle, including during test phase; researches test issues and data content, and assists with complex problem resolution
  • Investigates new tools and techniques; collaborates on hardware/software evaluations
  • Bachelors or Master's degree in a technical or business discipline or equivalent expertise. Generally a minimum of 5 years related experience
  • Extensive knowledge in the following areas; IT concepts, strategies and methodologies, IT architectures and data standards, data design and tools and business function(s) and of business operations
  • Proficiency in SQL and DBMS languages and tools and new and emerging technologies
  • Effective negotiation, facilitation and consensus building skills and strong communication and presentation skills
  • Familiar with Big Data concepts, in addition, exposure to technologies such as Hadoop / MapReduce
  • Some exposure to a statistical package or language (SAS, R, etc.)
196

Senior Data Analyst Resume Examples & Samples

  • Primary team member responsible for gathering and deploying financial and customer data into analytical tools and data solutions to enable growth, drive profitability, and improve process efficiency
  • Cleansing, blending, and providing data needs for the Project Management and Finance teams
  • Updating, improving data integrity, data mining, and statistical analysis of transactional sales databases
  • Utilize programming skills to synchronize multiple data inputs into a clean, user friendly output across various business platforms
  • Coach, mentor, and raise the overall acumen and effectiveness of the team in data management, blending, analytics, and insights
  • Support system and technical improvements, partnering with technical teams to improve data integrity and availability
  • Drive and continually improve upon analytical processes used to understand the performance of the business
  • Ad hoc analysis and special projects as requested by Project Management Team Leader
  • Bachelor’s Degree in related discipline to include but not limited to: Statistics, Mathematics, Economics, Finance, Marketing, Computer Science, Information Systems, and Analytics
  • 5+ years of experience in cleansing, blending, analyzing, and visualizing data for decision support purposes. Experience with statistical analysis, programming tools, and finance a plus
  • Ability to explain technical information to non-technical individuals
  • Expert level proficiency in MS Excel, Access, Structured Query Language (i.e., pivot tables, macros, charts, creating queries, and downloading data from existing queries.) Macro and VBA development a plus
  • Working knowledge of Siebel, Oracle, and SAP databases is preferred
197

Senior Data Analyst Resume Examples & Samples

  • Leverages appropriate technologies to support analytic needs of division
  • Architects, designs and builds data solutions leveraging database and reporting tools
  • Makes recommendations about methods to collect, analyze and manage data to improve data quality and the efficiency of data systems
  • Consults and collaborates on assessment activities
  • Uses statistical methods to analyze data and generate useful reports
  • Provides business analysis to identify and recommend ways to streamline business processes; and
  • Provides support to system data integrations
  • Bachelor’s degree or equivalent combination of education and experience
  • Significant experience in a data analyst or data developer role
  • Proficiency in writing SQL with enterprise database platforms such as Oracle or SQL Server
  • Demonstrated experience with enterprise reporting platforms
  • Demonstrated experience in database design experience
  • Demonstrated experience in scripting involving data integrations
  • Demonstrated experience working as part of a team; and
  • Master’s degree
  • Experience working with predictive analytics tools; and
  • Experience working within student affairs higher education environment
198

Senior Data Analyst Resume Examples & Samples

  • Works directly with Optum Payment Integrity Practice and their customers to define project requirements, provide assistance in delivery of data, and to answer questions related to project results
  • Analyzes customer claims data to ensure that content provided will support scope of projects to be delivered
  • Transforms and loads customer data in SQL Server environment
  • Processes data according to project specifications
  • Organizes and communicates results to customers in the form of data sets, reports and/or presentations
  • Devises analytic methodologies to deliver creative and meaningful results for our customers
  • May engage in the development of new products and solutions to enhance revenue growth opportunities
  • Bring your talent to an industry leader with the information, technology, and consulting expertise to help transform health and human services. No matter what your role, you'll be empowered to ask more questions, develop better solutions and help make the health care system greater than ever
  • 2+ years health care data, mainly UB and HCFA claim content experience. Must be familiar with claim structure data components and relationships
  • 3+ years developing complex SQL queries and scripts
  • 2+ years’ experience performing Data Extraction, Transformation and Loading (ETL) of data in an SQL Server environment
  • 2+ years plus SSIS experience
  • Experience with data editing tools such as UltraEdit
  • Excellent data quality assessment skills. Must be able to leverage knowledge of UB and HCFA claims to quickly identify problems within a submitted claims dataset
  • Excellent data analysis skills and a demonstrated ability to assess patterns, trends and behaviors within large health care claims populations
  • Excellent data presentation skills. Must be able to develop formatted reports using MS Office tools that are presentable to customers (mainly Excel, PowerPoint and Word)
  • Experience pricing Medicare facility claims (inpatient and outpatient)
  • Knowledge of PPS payment systems and methodologies
199

Senior Data Analyst Resume Examples & Samples

  • Support development and implementation of quality and warranty analytics strategies and roadmaps
  • Participate in strategic projects and coordinate actions to support the achievement of defined objectives
  • Improve operational excellence
  • Solve complex challenges in areas of data mining and optimization
  • Support the solving of urgent quality issues with advanced analytics
  • Visualize data in an appropriate format
200

Senior Data Analyst Resume Examples & Samples

  • Develops and deploys reporting and analysis that is accurate, complete and properly summarized to aid in management of business and management decision making. Responsible for extracting and summarizing data from JDE and other corporate systems
  • Has expert knowledge of JDE tables and field usage. Has thorough knowledge of other corporate software, programs and data tools. Assists managers with report design and development. Tests reports and ensures that they perform as expected
  • Produces weekly, monthly, and quarterly trend and activity reports as well as other operational and management reports. Ensures that reports are produced per scheduled timelines for review by functional management teams
  • Analyzes large amounts of data and investigates and researches anomalies. Works with department and/or functional teams to correct issues when identified
  • Produces ad-hoc reporting as assigned
  • Relational database experience
  • Knowledge of a database coding language such as SQL, preferred
  • Excellent PC skills –advanced Excel functions
  • Ability to summarize large amounts of complex data into management reports
  • Ability to problem solve to determine root causes of anomalies
  • Responds well under pressure with deadlines
201

Senior Data Analyst Resume Examples & Samples

  • Translate real-world, abstract business questions into business models that identity patterns and trends and provide business insight
  • Work with Enterprise Accounts, Contract Operations, Marketing, Finance and other key stakeholders and subject matter experts to define business objectives and identify and obtain data to support business models
  • Analyze and synthesize raw data sets into meaningful insight
  • Influence business decisions by creatively visualizing and reporting findings so that the data tells an impactful story
  • Ensures master data integrity in key systems as well as maintaining the processes to support the data quality
  • Identifies areas for data quality improvements and helps to resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design strategies
  • Ensures quality of master data in key systems, as well as, development and documentation of processes with other functional data owners to support ongoing maintenance and data integrity
  • In collaboration with subject matter experts and data stewards, defines and implements data strategy, policies, controls, and programs to ensure the enterprise data is accurate, complete and reliable
  • Provides assistance in resolving data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design strategies collaborating with subject matter experts (SMEs) and data stewards
  • Manages, analyzes, and resolves data initiative issues and manages revisions needed to best meet internal and customer requirements while adhering to published data standards
  • Work closely with the business/IT to ensure alignment of master data rules and the operations of the application meet all requirements
  • Bachelor’s degree in information science, data management or related field or equivalent combination of education and experience
  • 5-7 years working experience in the medical device or healthcare industry with strong analytical and problem-solving skills
  • Strong business acumen with the ability to translate information into relevant and actionable insights
  • Related work experience with data warehouse and business intelligence tools
  • Excellent knowledge of Microsoft Office using Excel, Access
  • Excellent knowledge of Tableau
  • Comfortable working in newly forming, ambiguous areas where learning and adaptability are key skills
  • Outstanding communication and interpersonal skills
  • Ability to deliver high quality work in a fast-paced environment
  • Ability to mentor others
  • Intellectually rigorous, analytical, and curious
  • Dynamic, motivated, resourceful, and results-oriented creative thinker and problem solver
202

Senior Data Analyst Resume Examples & Samples

  • You are responsible for design and implementation of innovative technologies and algorithms from an idea to a software system
  • You have the responsibility for the technical leadership/coordination of the the Data Analysts group
  • You analyze and identify new data related business opportunities in the manufacturing area (Internet of Things)
  • You take over the development of complex algorithms utilizing modern approaches from the domains of machine learning and advanced data analytics in general
  • The interpretation and analysis of data from complex technical systems belongs to your tasks
  • You identify new technological advances and develop of own invention disclosures
  • You coordinate and execute (sub) projects and take over the leadership of a team of experts
  • You have a PhD degree in computer science, bioinformatics, mathematics, physics, or engineering sciences (thesis in the field of Machine Learning and especially Deep Learning is a plus)
  • You have longterm expertise and experience with technologies, algorithms and methodologies in the areas of Data analytics and Machine Learning is a must; experience with Deep Learning is welcome (publication record is a plus)
  • You have experience with project work in the research and development area especially in the domain of data discovery and data science is highly appreciated
  • You have knowledge of and experience with modern analytical frameworks, libraries and analytical development frameworks
  • You also have knowledge of software development process and good programming skills in particular Python and Java combined with knowledge of analytical libraries. Agile experience is a plus
  • You have experience with massive parallel processing (Hadoop, Spark) and stream analytics (Storm, Spark Streaming) as well as relational databases is appreciated
  • You have advanced speaking and writing skills in English (German is a plus)
203

Senior Data Analyst Resume Examples & Samples

  • 10+ years of experience relevant to this position including 5 years of consulting experience. Management or team leadership experience preferred. Undergraduate degree or equivalent experience preferred. Product or technical expertise relevant to practice focus. Ability to lead large teams. Strong influencing and negotiation skills. Ability to travel as needed
  • 7+ years proven experience using your digital knowledge to sell new client engagement and expand existing engagements
  • 7+ years deep experience in interactive marketing - email marketing, social media, website analytics, search marketing, online acquisition, mobile marketing, display marketing
  • Experience and success managing projects with multiple team members, ensuring quality work on existing client projects
  • Inter-Services/Team Communications: Ability to work with other teams to ensure client success, and also develop work with those teams to educate and learn for future opportunities
  • 5+ years working in an agency or consulting firm
  • Hands-on skills using data to drive decisions – proficiency in Excel is required
  • Experience translating data analysis into actionable marketing recommendations and presentations – proficiency in PowerPoint is required
  • Oracle Platform Knowledge: Knowledge of key Oracle Marketing Cloud technology platforms and their capabilities is desired (i.e. Responsys Interact, Eloqua, BlueKai and Maxymiser) in ensuring the right strategies are using the right technology to deliver results
  • Ability to leverage business experience / acumen to identify new business and marketing opportunities
  • Excellent verbal and written communication skills along with project management and interpersonal communication abilities (ability to produce professional reports and present to senior-level executives within client organizations.)
  • Strong listening and superior relationship building skills
  • Outstanding attention to detail and high personal quality expectations
  • High intellectual curiosity, drive, determination, self-confidence and persuasion skills
  • Self-directed and self-motivated with a demonstrated work ethic and ability to perform under pressure and meet deadlines
  • 40-50% travel required
  • Bachelor’s Degree required, Advanced Degree strongly preferred (preferably in Marketing, Business Management, Economics, Statistics or other related coursework)
204

Senior Data Analyst Resume Examples & Samples

  • Interpret data, analyze results and provide ongoing on-line reporting
  • Work with your manager and teams to prioritize business and information needs
  • Look for process improvement opportunities
  • The ability to work independently or as part of a team
  • The desire to mine data and develop solutions
  • MS/MA in Data Analytics, Data Science, Computer Science, Information Management or other Engineering Discipline
  • At least 10 years of experience in a data analyst or similar position
  • Knowledge of relational database systems
  • Experience with Data Analytic Tools
205

Senior Data Analyst Resume Examples & Samples

  • Assist in implementing core Data Governance disciplines including but not limited to
  • 7+ years of experience in analysis, mappings, modeling, designing and implementing quality data management solutions working closely with key business stakeholders
  • Experience with SQL development, SSIS and similar, related technologies is a plus
  • Experienced in working on data management across transactional and analytical processes preferably in a global company with users across multiple business units
  • Experience implementing tools (preferably Informatica) for data management including Metadata Management (Business Glossary and Lineage), Master Data Management, profiling, cleansing, modeling (Erwin), Business Intelligence etc
  • Generally a minimum of 7 years related experience. In-depth knowledge of IT concepts, strategies and methodologies
  • Must be proactive, and have the ability to work independently/efficiently and to thrive in a fast paced environment, as well as the ability to work collaboratively with cross-functional teams
206

Senior Data Analyst Resume Examples & Samples

  • Acquire data from multiple data sources for analysis
  • Identify, analyze and interpret trends or patterns in complex data systems using appropriate statistical and data mining techniques
  • Help with the analysis of usage patterns of our websites. Actively contribute to finding new methods to understand user behavior and areas of struggle in their online experience
  • Present data findings to senior management
  • Support day to day data requests as required
  • Test and audit the quality of data collected and work with the development teams to correct any inaccuracies/inconsistencies
  • Coordinate with other team members to ensure timely execution of the project plan
  • Technical expertise regarding data models, database design, data mining and segmentation techniques
  • Strong knowledge of statistics and experience using statistical packages for analysis of large datasets (Excel, SPSS, SAS, R, etc)
  • Familiarity with metrics used in email and web analytics
  • Strong interpersonal skills to build effective business relationships
  • Ability to work in a fast paced environment with ever-changing deadlines
  • 5 years demonstrated experience in the Technology/IT industry
  • 5 years demonstrated experience as a Data Analyst
  • Master’s degree in Mathematics, Computer Science or related field
  • Experience with Adobe Analytics (Omniture) Toolset
  • Experience with Microstrategy
  • Detailed understanding of web analytics concepts and principles
  • Experience with complex, multi-national application implementations
207

Senior Data Analyst Resume Examples & Samples

  • Lead the planning of projects for the development of new data analysis algorithms, reports, database structure, and workflows
  • Provide direction to data analysis staff and ongoing development, support and training as needed
  • Perform complex queries and data mining methodologies to identify patterns and trends that are indicative of potential fraud, waste, and abuse using traditional as well as predictive/advanced analytic methodologies
  • Conduct quality assurance reviews on data analysts’ work
  • Develop specifications and extract data for data requests from all data sources, including, but not limited to the CMS Data Engine (a SAS environment) claim system
  • Provide ongoing data analysis support as needed, including the development of scripts, algorithms, views, tables, databases, and spreadsheets
  • Conduct quality assurance reviews of data loaded into HMS Federal’s data repositories to ensure data loads are complete, accurate and conform to business requirements, this Includes reviews of work conducted by subcontractors and internal staff
  • Interface directly with customers and stakeholders to provide analytical support
  • Analytical ability and business acumen to collect multiple sources of data and draw conclusions
  • Ability to learn new tools with minimum guidance and work independently
  • Mastery of spreadsheets and analytical tools including Microsoft Excel and Microsoft Access
  • Demonstrated ability to meet and exceed project deadlines while producing high quality products
  • Knowledge of health care information (e.g., health claims data specifically Medicare and Medicaid), ICD-9/10-CM codes, and physician specialty codes)
  • Working knowledge with the Centers of Medicare and Medicaid Services (CMS) Integrated Data Repository (IDR), One Program Integrity (One PI), Shared Systems, and/or Common Working File (CFW), and other fraud detection and prevention solutions
  • Working knowledge with state Medicaid claims and systems such as Medicaid Management Information System (MMIS) or Medicaid and Statistical Information System (MSIS)
  • Understanding of applicable regulations as they apply to the Provider type and the review as well as the contract requirements for business engagements
  • Knowledge of HIPAA Privacy and Security Rules and CMS security requirements
  • Certified Fraud Examiner (CFE), Accredited Health Care Fraud Investigator (AHFI) – Preferred
  • Not currently sanctioned or excluded from any program operated by Federal or State Agencies including Medicare and Medicaid - Required
  • 5+ years of related data analysis experience including at least 3 years recent experience with Medicaid claims data and/or Medicare Part A, B,DME and Home Health claims data
  • Including 5+ years’ experience with SAS, Microsoft SQL, Business Objects or Crystal reporting
208

Senior Data Analyst Resume Examples & Samples

  • Proactively identify opportunities where data collection and analysis can improve business processes and influence decisions
  • Interface with technical and business teams to collect/extract data from various data sources (in-house databases, machine logs, third party vendors, and others)
  • Work closely with these teams to assure that needs are understood, and requirements are defined and met
  • Assist Data Scientists in the exploration and validation of data, including understanding and championing the business point of view
  • Partner with the functional business areas to understand their needs then define and develop methods to present analytical findings - including, but not limited to, dashboards, reports, and summaries
  • Present findings of analyses in non-technical terms to facilitate understanding by a wide audience
  • Satisfy ad hoc data requests while working with the team to design a self-service system, minimizing the need for these requests
  • Participate in quality checks on the completeness and accuracy of data, working with end users to follow through on associated action items
  • Leverage data to drive the strategic direction of the organization
  • Attend vendor training and/or conferences and presentations for continuing skills development
  • Train and mentor team members and other DeVry colleagues as necessary
  • A Bachelor’s Degree is required - preferably in math, economics, engineering, statistics, information technology or a similar technical field
  • Minimum of five (5) years of experience performing business data analysis with a deep understanding of how data can drive business decisions and success
  • Strong analytical, communication and documentation skills
  • Ability to present complicated information in understandable terms with a strong grasp of both technical and business perspectives
  • Strong critical thinking, as well as organizational, multi-tasking, prioritization and interpersonal communication skills
  • Ability to interact with all levels of the organization and work in a fast-paced environment
  • Ability to work independently and make sound decisions with minimal supervision and direction
  • Strong sense of ownership and driving resolutions to projects
  • Solid SQL skills and an understanding of database structures to perform research and discovery
  • Experience with data visualization tools (Tableau, Qlik, Microsoft Power BI, SAS, Birst, Cognos, others). Significant experience is desired
  • Experience with strategic analytics tools is a plus (R, SAS, others)
209

Senior Data Analyst Resume Examples & Samples

  • Assist in evaluating the effect of payor reimbursement trends and system modifications
  • Provide day-to-day system support for Patient Financial Services (PFS) staff and must be able to assist in identifying root causes
  • Generate financial and statistical reports, obtaining data from disparate sources after determining the applicability and accuracy of the information
  • Re-evaluate system functionality and staff usage and assists in identifying opportunities for improved efficiency through better processes and additional automation
  • Execute components of special projects as assigned; may be responsible for coordinating activities with others in the department to produce reports and other deliverables within the prescribed timeframes
  • Generate concise, timely reports of departmental activities and/or variances from expected results
  • Analyze master files, profiles, and table changes to ensure all changes are appropriately entered
  • Schedule and monitor staffing levels to ensure efficient operations and appropriate employee utilization
  • Comply with and adhere to all regulatory compliance areas, policies and procedures (including HIPAA and PCI compliance requirements), and "leading practices" Recruiter will enter
  • Working with Tableau and SQL
210

Senior Data Analyst Resume Examples & Samples

  • Concept and perform strategic data analysis and research within SAP systems and / or with dedicated software solutions to support business processes and strategy
  • Analysis of unstructured data with text mining procedures and discuss results with Managers
  • Translation of requirements, creation of functional specifications, extraction of data and development of SQL scripts
  • Preparation of engagements by creating regular status updates for the Engagement Manager and independently determining the engagement requirements prior to fieldwork
  • Partial project responsibility and full Reporting to Engagement Manager
  • Preparation of presentations for final review of all documents and active participations at closing meetings with management
  • Creation of Use Cases for Siemens internal pre-sales and sales process
  • Conception and creation of reference projects and presentation of those during management and internal client meetings
  • At least 3-4 years of professional experience within Siemens, a related industry, a ‘Big 4’ accounting firm or a global strategy / IT consulting firm
  • Strong academic history (Master’s degree in IT or business related fields)
  • At least 2 years experience with SAP modules (PP, SD, MM, PS, FI or CO) and/or statistical data analytics (R, SAS, Matlab, etc.) or process mining technologies
  • Experience with visualization of complex data (e.g. QlikView)
  • First experience with managing data projects
  • Very good knowledge of MS Office
  • Desire and drive for future leadership roles
  • Fluent in English and willingness to travel 70% - 80% of your time globally
211

Senior Data Analyst Resume Examples & Samples

  • Data Analysis: Performing data analysis for small to medium-sized projects, including working with business partners and leaders, and technical staff to prepare outputs that align with customer expectations
  • Managing the Open Data Program: Ensuring open data is extracted from source systems, vetted against a checklist for public posting, updated to improve data quality and usability, loaded into the client's data hub, continuously maintained, and secured
  • Developing Open Data Standards and Processes: Applying industry standards and best practices for data and metadata collection and management, and developing processes to ensure each data requests and/or new data sources are appropriately reviewed, posted and maintained
212

Senior Data Analyst Resume Examples & Samples

  • Assist in incident review to identify alerting trends, establish CTI and other documentation standards to better identify problem areas specific to SBI systems and applications
  • Exercises good judgment within defined procedures and practices to determine appropriate action. Demonstrates the ability to effectively prioritize tasks with limited direction and seeks assistance when appropriate
  • Shows the ability to gather specifications, understand and define the problem, and identify and evaluate potential solutions to the problem. Ability to see commonality in a problem set to develop a generic solution, which can be extended to solve multiple problems
  • Assist stakeholders and project leaders with negotiating and prioritizing requirements
  • Assist in the identification and implementation of process improvements and designs, which result in measurable improvement to customer experience and operations performance
  • Exhibits a detailed understanding of our information systems and their relationship with SBI business processes
  • Collaborate with SBI teams to communicate and validate the adoption of process changes
  • Ensure that new processes are documented and that changes are communicated to all affected parties
  • Has a technical understanding of data center and server architecture within it
  • Award-winning education and training across multiple career paths to help you reach your potential
  • Bachelor of Science in Computer Science, Information Technology, Software Engineering, Technical Writing, or appropriate combination of education and experience in Essential Duties and Responsibilities
  • Advanced computer skills and proficiency with MS Word, Excel, PowerPoint, Project and Outlook
  • 4 – 6 Years of Enterprise Experience in a server environment
  • Minimum of 2 years’ experience developing SOP/procedural documentation, requirements/design documentation, test, qualification and validation plans and documentation
  • Technical certifications such as MCSE and non-technical certifications such as ITIL Foundations a plus
  • Commitment to DaVita’s values of Service Excellence, Integrity, Team, Continuous Improvement, Accountability, Fulfillment and Fun with ability to demonstrate those positively and proactively to patients, teammates, management, physicians, and/or vendors (Village Service Partners) in everyday performance and interactions
  • Strong analytical skills with the ability to seek out underlying assumptions through probing, questioning, and listening
  • Minimum of 4 – 6 years previous experience in an Analyst or equivalent role
  • Ability to work within deadlines and with multiple priorities; ability to adapt to changing priorities
  • Well-developed time management skills with the ability to respond to urgent requests in a timely manner
  • Demonstrated ability to work in a team, facilitate effective team interactions, and to foster a positive work environment; willingness to assist teammates in order to achieve departmental goals
  • Strong written, verbal, and interpersonal communications skills including ability to listen attentively and to communicate information clearly and effectively
213

Senior Data Analyst Resume Examples & Samples

  • Primary team member responsible for gathering and deploying financial and customer data into analytical tools and data solutions to enable growth, drive profitability, and improve cash flow
  • Develop and prepare timely interpretive reporting, analysis, trends, and forecasts to meet channel requirements
  • Analysis of budgets, forecasts, trends, and recommendations of corrective actions/focus areas to address performance issues
  • Drive and continually improve upon financial processes used to understand the performance of the business
  • Partner with, but not limited to, Regional Directors, Sales Leaders, Services Operations, Finance, Credit teams and Customer Center District Leadership
  • Assist in the rolling forecast, target setting, and annual planning process
  • Assist with the monthly close process, ensuring accurate and timely financial results with the ability to drive process improvement
  • Ad hoc analysis and special projects as requested by Management
  • Cleansing, blending, and providing data needs for the Sales Channels, Finance, Marketing, and Services Teams
214

Senior Data Analyst Resume Examples & Samples

  • Process data from Active Readiness Information System (ARIS), online Billet Change Request (BCR), the Total Force Manpower Management System (TFMMS), TFMMS Web Online, and Fleet Training Management Planning System (FLTMPS) to support the manpower requirements
  • Review and maintain accurate manning data contained in Officer Distribution Control Report (ODCRs) and Enlisted Distribution and Verification Reports (EDVRs)
  • Responsible for working with a team in the technical planning and design for the network
  • Responsible for the development and validation testing for network design and integration
  • Maintain databases to generate the Long Range Training and Replacement Plan (LORTARP) and other Manpower and Personnel management documents and reports
  • Maintain billet assignment data and producing and distributing reports, review and analysis
  • Create/maintain/update the Position Mapping database
  • Provide support for data input and analysis of CSCS Domain’s Position Mapping files
  • Use Corporate Enterprise Training Activity Resource System (CeTARS) and AMD data to update Position Mapping files and instructions, analyze data, report data, and make recommendations for changes to manpower based on their findings
  • Identify, collect and analyze data; perform trend analysis and identify problems/areas of opportunity
  • Bachelor’s degree in related field and 4 – 8 years of experience
  • Five 5 years’ experience in reviewing, updating and evaluating Navy Training Management corporate database systems such as CeTARS and FLTMPS
215

Senior Data Analyst Resume Examples & Samples

  • As a data analyst you are responsible for the creation of analysis models based on data from different sources and in different formats
  • You coordinate work with other departments, partner firms, and suppliers
  • You will take over the responsibility for planning, conception and implementation of new data-based solutions and their interfaces
  • You will analyze new components and methods, and pilot solutions in order to implement initial “proof of concepts”
  • You will gain good business understanding through analyzing data with a focus on the perspective of “Imaging / Radiology” customers&#8217
  • You share responsibility for the quality of the products and services, and take care of the documentation of the projects and their budgets
  • You will work on a strategic development project in close cooperation with the collaborating business lines/areas
  • You hold a university degree in the field of information technology, mathematics, or economics. Alternatively, you have completed a professional training and have several years of experience in these fields
  • You have several years of professional experience in the field of data analysis and visualization, preferably within the Healthcare industry
  • You have sound technological expertise with the following products: Microsoft Azure/Hadoop, XMART, SAS, Rapidminer, QlikView, and/or SPSS
  • You have excellent written and verbal communication skills in English and German
  • You have keen abilities with problem solving and de-escalation, as well as the ability to work with others, and you interact well with colleagues during implementation
  • You have good persuasion and communication skills, customer orientation, target orientation and analytical abilities, as well as a structured work ethic
216

Senior Data Analyst Resume Examples & Samples

  • Provide data mining and analysis to support various CBU initiatives and assist in Wireless revenue and usage inquiries
  • Provide standard reporting support, which includes the ability to extract and analyze large and complex data sets from various source systems and data stores by performing coding and system parameter setting
  • Responsible for writing queries, filtering and transforming data into meaningful reports for Financial analysis and Pricing, Commercial strategy and Sales teams
  • Process and analyze data to support business case analysis and ad-hoc requests. Define data requirements and ensure accuracy of data pulls
  • Perform ad-hoc queries and develop / automate financial / statistical models using a variety of software applications (Excel, MS Access, SAS/SQL); provide recommendations and insights
  • Investigate and help resolve possible data corruption and discrepancies
  • Liaise with IT to understand best sources of data and tables
  • Lead special projects / ad-hoc assignments as required
  • University degree in Computer science, Mathematics or related field
  • 3+ years programming skills with advanced knowledge of SAS, SQL, data mining software and Excel Macros
  • 3+ years experience in DBMS
  • The ability to construct datasets, ensure data quality and perform quantitative / basic statistical analysis
  • Excellent knowledge of Microsoft Office and strong ability to learn new software
  • Excellent organization and time management skills to meet deadlines and handle changing priorities
217

Senior Data Analyst Resume Examples & Samples

  • Minimum 5 years of data analysis experience
  • Must be able to write complex SQL queries
  • Need experience working in a large, complex commercial environment
  • Highly motivated, results driven, and challenge oriented individual·
  • Strong analytical problem solving and data analysis skills, with attention to detail
  • Creative thinker with ability to provide solutions to complex challenges/opportunities and as part of a team
  • We need a self-starter who can work independently
  • Any experience with a CRM-System is helpful
  • Experience working with an ETL tool like Informatica
  • Experience with VBA or R is helpful (or another programming language)
  • Consulting experience
218

Senior Data Analyst Resume Examples & Samples

  • Expected to help the CA team achieve its targets for billable hours, revenue, and operating margin
  • Responsible for regular project documentation in accordance with team standards, process, and policy
  • Expected to contribute ideas and effort to: the exploration of current, evolving, and future data assets in order to generate novel insights that engage clients and attract prospects; the development, testing, and implementation of analytical tools and processes that can increase efficiency or enhance products and services; and the general success of Optum Life Sciences
  • Collaboration with cross-functional teams inside a matrix and geographically dispersed organization
  • Provide training, direction, oversight, and quality control for junior staff, which may include analysts located overseas
  • Serve as a sounding board or source of education for peers, co-workers, or other stakeholders with an interest in the content, structure, provenance, and potential uses of Optum's health data
  • 10+ years of experience with SAS programming in a UNIX and/or PC environment
  • 8+ years of experience generating, manipulating, and analyzing complex patient, consumer, customer, or company data
  • 4+ years of experience producing or supporting data analysis for clients or other external audiences
  • 4+ years of experience training, supervising, evaluating, and mentoring junior staff
  • Ability to travel (up to 10%)
  • Bachelor's degree in biostatistics, mathematics, computer science, theoretical physics, quantitative social sciences, statistics, or information systems OR technical certification in programming or data processing
  • Knowledge of insurance claims data and/or electronic health records
  • Experience with the healthcare industry, including biopharma, medical devices, managed care, or hospitals
  • Advanced degree (MBA, MS, PhD)
219

Senior Data Analyst Resume Examples & Samples

  • You must love data. Expert of using data analysis, data visualization and predictive modeling to tell story and solve complex business problems
  • Prefer candidates with 2-3 years of work experience in highly analytical role
  • Experience with Tableau, SQL, SAS, R
  • Highly analytical and creative thinker comfortable working with ambiguity
  • Must be self-directed, organized and detail oriented as well as have the ability to multitask and work effectively in a fast paced environment
  • Strong team player, excellent communication skills, positive attitude and good work ethic
  • Prior experience of supporting global sales team is plus
  • Build Sales territory coverage models to analyze, diagnose and present to the management team
  • Develop and maintain advanced Sales KPI dashboard to provide insights into business
  • Provide in-depth Go-to-market analysis from sales perspective to drive the alignment between Sales and Marketing
  • Proactively diagnose the analytical requirements of the sales organizations; design and deliver reporting to meet their requirements
  • Manage and maintain existing Excel based analytics and transition to Business Intelligence platform
  • Maintain data quality and business process documentation
  • Actively offer suggestions on refining sales processes, analysis, and related activities to automate systems and processes
220

Senior Data Analyst Resume Examples & Samples

  • Working with the Marketing Operations Director/Senior Data Planner to help develop data models for campaigns and future CRM development
  • Develop and build a variety of reports for the client, primarily using SAS, Excel and Adobe, but also with other software packages as directed
  • Build, validate and deliver specific analytic models designed to generate true customer insight
  • Develop and provide written and verbal output on reports
  • Manage and resolve the key data strategy issues involving quality, consistency and growth across customer and prospecting database in consultation with colleagues
  • Develop the data models across the Customer Journey from acquisition through to repurchase including insight based campaign targeting strategy
  • Drive campaign optimization by establishing and managing the test and learn process for campaign reporting
  • Convert analysis output into customer insight that drives marketing performance
  • Briefing external suppliers and internal marketing operation functions, as required
  • Build relationships with management and staff (internal & external) in business areas associated with data planning work
  • Understanding of digital marketing, customer relationship management, eCRM, and programmatic campaign management
  • Bachelor’s Degree in Mathematics, Statistics, Marketing, Economics, Computer Science, Information technology or Human-Computer Interaction or related discipline
  • Three to five years’ experience in marketing or business analytics setting and statistical analysis, predictive modelling an advantage
  • Digital media as an optional requirement
221

Senior Data Analyst Resume Examples & Samples

  • Ability to document complex data sets and calculations and ensure products meet standard best-practices and appropriately model a scenario. Ability to use those documents to test and validate the integrity of data-driven products
  • Ability to create new methodologies for clients around goal-based planning, Monte Carlo simulations, financial modeling and multiple outcome scenarios
  • Help to drive and suggest new innovations and technologies for our data-driven products, including ways to improve charting, speed up calculations, and ensure flexibility in data modeling
  • Work closely with the product and technology teams in the development of new products. This includes helping to determine the best ways to store data, update it and ensure a flexibility product set for our clients
  • 3 years data modeling or other data or object-related work experience demonstrating knowledge of database management systems and data management tools
  • Be the in-house data expert - with in-depth knowledge of fund reporting data. Will be a key resource for the editorial and development teams in the creation of new financial content and products
  • Ability to create test plans, programs, and/or excel documents to validate calculations and data
  • Ability to write technical documentation explaining the algorithms and logic needed for technology to build calculation engines
  • Ability to document and validate new and existing methodologies for regulatory review and submission, as well as passing review by clients subject matter experts and compliance and legal teams
  • Using advanced quantitative and analytic skills, respond to requests for data, including sourcing it, creating charts/tables, as appropriate, and analyzing and interpreting complex data sets
  • Be able to explain complex statistical concepts in a way that non-technical individuals can understand
  • Report on project status, estimate work requirements, all while managing a variety of distinct initiatives
  • Exceptional Excel skills, advanced SAS software skills including basic data functions and macros
  • BS in Statistics or Mathematics. Experience working within the financial services industry – experience across equity, fixed income and packaged investment product is a must
  • Must be a CFA
  • Be the company's data expert and be naturally passionate about helping others leverage and understand data and the power of statistical methods
  • Background in programming, VB macros or other technologies to help the technology team build calculation engines
222

Senior Data Analyst Resume Examples & Samples

  • Candidate must possess at least a Bachelor's/College Degree in any field
  • Required skill(s): Data Analysis, Data Management and Administration, Report Generation, MS Excel, Systems/Tools (examples: Taleo, Salesforce, Oracle, SAP, PeopleSoft, HRIS,web management system/tools, internal systems, etc.)
  • One to two years of working experience, preferably in a multinational corporation or shared services environment
  • Must have excellent oral and written English communication skills
  • Must have strong customer service orientation, ability to work well under pressure, good independent judgment, high attention to detail
  • Must be a proactive problem solver who is effective and efficient in the administrative process and comfortable speaking and collaborating with different cultures and nationalities
223

Senior Data Analyst Resume Examples & Samples

  • Experience or exposure to the Apache Hadoop distribution of tools and associated products; typically, Hive, Pig, HCatalog and Map-Reduce procedural programming languages
  • Use data analysis, basic / descriptive statistics, and data exploration techniques
  • Identify areas for improvement or optimisation that are actionable and can deliver a return on investment
  • Use data analysis techniques to deliver quick working prototypes to prove hypothesis by building statistical models using a range of tools including R, Python, and Spark
  • Using algorithms to help deliver data products and work with the software engineering team to correctly embed these algorithms in our British Gas and Centrica platforms and products
  • Use cutting edge visualisations to enable our business to better explore the patterns and trends hidden within our data
  • Actively promotes best practise and knowledge sharing of data analysis techniques both within the data science team and with external stakeholders
224

Senior Data Analyst Resume Examples & Samples

  • Owning and guarding data templates for legacy system transfer to the new Infor cloud M3 System, the data mapping required, it’s sequencing and integrity to other data domains to support successful migration to Infor M3 Core Systems and its functional and reporting/BI capabilities
  • In the medium term, to investigate and document the possible usage of an Extract, Transform and Load (ETL or ETL lite) toolkit to prepare data in a staging area
  • Identify Pricing data improvement with specific business leadership alongside the TP Data Lead in order to minimise data inconsistencies, identify any causes and work with the Data Analyst of each Legacy systems team to rectify as appropriate
  • Support the development of Infor M3 system Data Quality rule sets alongside the data quality resource made available to the Data team. This is to be deployed as an approval’s gate to loading into Infor M3’s various target systems
225

Senior Data Analyst Resume Examples & Samples

  • Degree in Information Systems or equivalent
  • 5 or more years of experience developing business intelligence reports
  • Experience with financial databases
  • Expert with SQL Server Reporting Services
  • Expert with SQL Server T-SQL
  • Proficient with SQL Server SSIS packages
  • Good Oral & Written Communication Skills
  • Track record of keeping up-to-date with technologies
  • Experience working on an Agile SCRUM team (preferred)
  • Must be able to function as part of a team
  • MCSE: Business Intelligence Solutions Expert (Advantageous)
  • Data gathering
  • Hands on
  • Innovative & Energetic
  • Proactive & Capable
  • Easily Approachable
226

Senior Data Analyst Resume Examples & Samples

  • Apply critical thinking to quickly identify and resolve data issues
  • Inspect and cleanse data for accuracy and quality
  • Consolidate and summarize data for business partners
  • Develop merchant facing ROI, marketing and campaign dashboards
  • Organize data and supporting information into visual representation of data analytics to highlight information and trends based on data provided
  • Perform statistical analysis (correlation, regression, or time series) analytics
  • Support finanancial analysis
  • Identify and summarize trends based on data analysis and suggest business improvements based on analysis for both internal and external clients
  • Assist with general data and reporting inquiries with a sense of urgency
  • Provide assistance with process improvement as needed
  • Business stakeholder for providing requirements into reporting and BI products
  • Support analysis, monitoring, for franchise settlement product and serve as a subject matter expert for product enhancements and support
  • Bachelor’s degree or equivalent; and two to four years related experience and/or training; or equivalent combination of education and experience
  • Experience writing MySQL, Bash and VBA
  • Excellent organizational and administrative skills, including the ability to organzie, prioritize, and manage simultaneous projects
227

Senior Data Analyst Resume Examples & Samples

  • Leveraging information to better understand business practices across the Sector
  • Proactively identifying and responding to concerns or trouble spots
  • Further enhancing our internal control procedures and coverage
  • Support the data analytics needs of the Industrial Sector, including
  • Understanding of respective objectives and creatively defining analytics that can deliver efficient, effective, and meaningful information
  • Gain an understanding of business processes, evaluate potential risks and work with the team and customers to define data indicators of risk
  • Partner with individuals in the Sector / Groups and provide analytic services
  • Assist in the development and execution of analytic routines while maintaining acceptable cycle time / quality standards
  • Provide insight and guidance on the management of reported exceptions / analytic output
  • Bachelor’s Degree in Information Systems, Computer Science, Finance, Accounting, Business or Mathematical/Statistical disciplines from an accredited institution required
  • Minimum 2 or more years of experience in accounting, auditing, Information Technology, and/or data analytics
  • Knowledge of data base structures, data mapping, and experience extracting/analyzing data from common Enterprise Resource Planning (ERP) systems such as Oracle and Mfg/PRO
  • Strong knowledge and working experience with data manipulation tools (ex. SQL) to query large databases and manipulate large data files
  • Intermediate analytical skills and advanced knowledge of one or more common data analytics tools and CAAT (Computer Assisted Audit Technique) technologies (e.g., ACL, IDEA)
  • Adept in using advanced features of MS Access and MS Excel
  • Strong attention to detail and an ability to prioritize and work in a highly fluent and fast paced environment
228

Senior Data Analyst Resume Examples & Samples

  • Prioritize analyses, develop tactical approaches, and manage analyst work streams
  • Apply critical thinking and data analysis skills using ClickFox to develop robust journey insights and recommendations that drive change
  • Deliver executive-level presentations that communicate business relevance of the analysis performed and recommended solutions
  • Partner with the Customer Experience and Operations teams to create cross-channel dashboards that enable better understanding end-to-end customer journeys
  • Deliver strong business results through the successful application of continuous improvement principles across core customer journeys
  • Track and communicate the delivery of business value through the transformation
  • Establish processes, document methodologies, benchmarks and key learnings for Customer Journey Analytics
  • 7-10+ years in hands-on data analytics experience
  • 5+ years experience with SAS, R, and/or other data mining tools
  • Experience with large transactional databases is preferred
  • Familiarity with new big data technologies. (Greenplum, Hadoop)
  • Hands-on experience in customer experience analysis, including web analytics, customer segmentation analysis, contact center analysis, marketing analytics, etc
  • Proven critical analytical and strategic skills, including the ability to quickly assimilate new information
  • Demonstrated relationship management skills with business partners in various lines-of-businesses, operations and IT partners with successful record influencing and leading critical business initiatives
  • Excellent communication, presentation and interpersonal skills to convey analytic findings, strategic implications and actionable recommendations to all levels of management and partners
  • Ability to present fact-based recommendations in a clear, logical, and concise way; “tell a story” with data
  • Master’s or Bachelor's degree with equivalent work experience in Analytics/Business Intelligence fields. (Mathematics, Statistics, or related discipline)
229

Senior Data Analyst Resume Examples & Samples

  • Development of data infrastructure for enabling processes for lifecycle marketing, search marketing, and other initiatives
  • Creation of dashboards and reports providing insight into business data. Monitoring and optimization of existing and new campaigns through data analysis
  • Designing and driving and measuring experiments
  • Collaborate with team members to gather requirements for analysis and reporting
  • Hands-on analysis and manipulation of data to continuously improve conversion and ROI
230

Senior Data Analyst Resume Examples & Samples

  • Develops data analytics systems to support NGMS objectives
  • Utilizes machine learning algorithms, which may include belief networks, Hidden Markov models, Artificial Immune Systems, Gaussian Mixture Models, Decision Tress, graph theory, Information Geometry, Genetic Algorithms, and basic statistical analysis
  • Tests algorithms on large and small data sets, including textual, numeric, temporal, and symbolic data
  • Employs relevant analytics COTS products
  • Programs in Java, JavaScript and/or R
  • Collaborates with stakeholders to develop solutions to problems and potential problems
  • Interfaces with customers and consumers to develop system requirements
  • B.S. degree in a related STEM field, plus a combined 15 years of professional experience in the following areas: Data Analytics systems development, Software Engineering, and Systems Integration
  • Demonstrated success developing machine learning algorithms
  • Experience using predictive modeling
  • Understanding of data storage and retrieval techniques, ETL, and databases– both SQL and NoSQL
  • Demonstrated ability programming in Java, JavaScript, and/or R
  • Systems engineering knowledge and ability to design data storage and management systems in support of analytics
  • Systems integration experience
  • Relevant M.S. or Ph.D. Degree
  • Ability to incorporate user experience principles for systems and display development
  • Systems Engineering experience
  • Information Governance experience
  • Big Data/data science experience
  • User experience and design for systems development
  • Ability to obtain a TS/SSBI Clearance, or an active TS/SSBI Clearance
231

Senior Data Analyst Resume Examples & Samples

  • Master’s degree in Mathematics, Computer Science, Statistics or Related Discipline and 2+ years of related work experience; or a Bachelor’s degree in Mathematics, Computer Science, Statistics or Related Discipline and 4+ years of related work experience; or 6 + years of related work experience
  • Data warehousing and distributed computing architectures/applications (Hadoop/Spark/Hive/Kafka)
  • Advanced understanding and working knowledge of SQL
  • Strong working knowledge of the Property and Casualty industry
  • Very strong problem-solving skills, and quantitative/analytical thinking capabilities
  • Ability to work collaboratively in a team environment and independently
232

Senior Data Analyst Resume Examples & Samples

  • Develop partnerships with CITS to provide opportunities for more efficient solutions to various data, system, and applications issues
  • Bachelor's Degree or equivalent in Computer Science, Computer Technology or related discipline required
  • 5+ yrs business experience
  • 3+ yrs related data analytics experience
  • Ad hoc prototyping skills using multiple techniques to solve a myriad of business scenarios
  • Extensive knowledge of relational databases such as Oracle, SQLServer, and Data Marts and Data Warehouses
233

Senior Data Analyst Resume Examples & Samples

  • Quick learner, self-motivated and proactive
  • Strong attention to detail and acute organizational skills are critical
  • 3+ years experience in financial/technical role
  • Liaison work
  • Familiarity with eLedger / SAP
234

Senior Data Analyst Resume Examples & Samples

  • Complete data analysis of performance, availability and capacity management metrics in support of ad-hoc and standard reporting requests
  • Analyzes and evaluates business outcomes and provides periodic summaries to Customer Experience leadership and all stakeholdersCoordinate internal resources, clients and third parties/vendors for the flawless execution of projects
  • Reviews, analyzes, and evaluates business systems and user needs
  • Ensure that all projects are delivered on-time, within scope and within budget
  • Developing project scopes and objectives, involving all relevant stakeholders and ensuring technical feasibility
  • Work along side the technical and operational organizations to optimize Customer Experience, System Quality and Operational Efficiency
  • Develop a detailed project plan to track progress and ensure resource availability and allocation
  • Develop in-depth awareness and familiarity with issues and events affecting customers
  • Communicate and present analysis to a broad audience, including senior managemen
  • TDocument requirements and gain consensus across internal and external stakeholder teams
  • Present data for validation to clients and internal teams
  • Participate in client interactions; review data with clients and statisticians using Excel, PowerPoint, data visualization tools
  • Use appropriate verification techniques to manage changes in project scope, schedule and costs
  • Measure project performance using appropriate systems, tools and techniques
  • Report and escalate to management as needed
  • Perform risk management to minimize project risks
  • Create and maintain comprehensive project documentation
  • At least 3 years of experience in Consulting and client facing roles, business analysis or project administrator
  • Bachelor’s degree in administration, management or any related field from an accredited institution is preferred
  • Strong clear verbal and written communication and presentation skills is required
  • Experience managing and analyzing KPI’s for a customer facing organization
  • Excellent interpersonal skills and able to communicate with a wide range of clients
  • Excellent analytical, research, numeracy and problem solving skills.Strong decision making skills and the ability to take the lead
  • Ability to explain complex information in simple terms and deliver clear and concise client recommendations
  • Ability to multitask and leverage escalation procedures.Proficient in PowerPoint for some slide creation and editing
  • Proficient in Excel including pivots and reporting as needed
  • Experience in Tableau a plus.Certification in Project Management a plus
235

Senior Data Analyst Resume Examples & Samples

  • Maintain and foster relationships through education and support of data feed processes
  • Lead Data Analyst is responsible for end to end data feed task management
  • Lead Data Analyst will collaborate between teams and participate in refining processes with managers and/or engineering teams
  • Statistical reporting and generation of client metrics
  • Solid T-SQL query skills
  • Ability to understand a schema and interact with data from highly normalized databases
  • Excellent customer service abilities
  • Ability to work independently as well as collaborating with management and other teams
236

Senior Data Analyst Resume Examples & Samples

  • Provide SAS/SQL programming, under general direction, in the execution of data analysis that will contribute to the final project deliverables
  • Appropriately account for the timeliness and quality of all assignments
  • Collaborate with internal and external stakeholders to manage data logistics - including data transfers, understanding data structures, business rules, etc. - to enable project execution
  • QA/QC data and report output to ensure accuracy
  • Assist in development of reports, providing content and writing of key observations
  • Participate in presentation of reports to key internal and external stakeholders, effectively communicating the key findings and recommendations
  • Manage multiple projects concurrently
  • Mentor junior staff members
  • Assist in the creation of compelling presentations that provide actionable insights and recommendations
  • Be exposed to the sales process, providing limited content to be included in proposals for new and existing business opportunities
  • Prioritize and monitor project progress relative to timeline and scope
  • Bachelor or Master’s degree in a quantitative discipline (statistics, economics, mathematics, marketing analytics)
  • Proficient in SAS/SQL; minimum 3 years’ experience
  • Successful developing relationships within and across functional teams (including statistical, technical, and marketing resources)
  • Highly motivated and collaborative
  • Advanced degree (Master’s/PhD) in Statistics, Economics or other quantitative discipline
  • Ability to display data visually, creating powerful presentations which effectively demonstrate the value of analytic deliverables; proficiency with business visualization tools (e.g., interactive dashboard software)
  • Ability to program in newer and emerging languages such as R and Python; working knowledge of Hadoop and other big data technologies
237

Senior Data Analyst Resume Examples & Samples

  • Minimum education requirement of four year degree in statistics, mathematics, systems engineering or a similarly quantitative discipline. Additional education is preferred
  • Three (3) or more years of data analysis experience – data wrangling, data munging & statistical analysis
  • Two (2) or more years of data visualization and storytelling experience
  • Experience programming in SQL and R, and working in a cloud environment (Redshift, EC2, etc.)
  • Experience with data visualization (using tools such as Tableau, ArcGIS, D3, etc.)
  • Ability to understand business context and translate to develop appropriate data analysis
  • Ability to create data mappings, process flows, presentations and reports for documentation
  • Demonstrated creative problem solving & critical reasoning abilities
  • Adaptability and drive to learn about new data sources, industries, and technologies
  • Established ability to communicate effectively and proactively
  • Exposure to advanced statistical and machine learning techniques (random forest, support vector machines, neural networks, survival analysis, Bayesian statistics, etc.) and curiosity to learn more
238

Senior Data Analyst Resume Examples & Samples

  • Perform statistical analysis to provide detailed equipment information for other work teams such as: Marketing, Customer Service and other groups within Finance
  • Gain and document a deep understanding of current processes and flows related to the equipment life cycle
  • Analyze and identify control gaps within IT architecture and the equipment distribution channels
  • Recommend process improvements and determine best ways to improve IT architecture to facilitate equipment processes more efficiently
  • Partner with IT to determine which control processes can be automated
  • Perform thorough testing of automated processes prior to implementation, and provide feedback on design or code changes
  • Incorporate, interpret and report on complex statistical information regarding equipment
  • Write complex SQL queries to obtain information from VISION, Point of Sale systems, Rebate Vendors and the Central Returns Warehouse
  • Write and test SQL queries and reports to finalize and track equipment activities by business channel
  • Analyze and create reporting and audit files. Provide support and feedback defining actions to be taken as a result of the audits
  • Maintain and update detailed transaction statistics highlighting changes in trends or volumes and their root cause
  • Perform thorough testing of process improvements in UAT as needed. Work with REVO, VISION, and POS to ensure code fixes are implemented as scheduled
239

Senior Data Analyst Resume Examples & Samples

  • Manipulate complex datasets (sometimes duplicated data) with a range of programming tools
  • Support the analytic needs to a business unit by analyzing web traffic using clickstream tools such as Clickstream data in Hadoop and Adobe Analytics etc
  • Serve and deliver actionable insights to Marketing, Finance and Product teams
  • Lead driving core insights from the data to suggest, create and execute multivariate or a/b/c tests to dive fundamental changes to the site experience
  • Senior Business analysts will typically focus their reporting and analysis holistically: clickstream analysis, outcomes analysis, search analysis, and Multivariate testing analysis
  • Develop and maintain relationships with the US analytics community
  • Deliver world class visualizations and self-serve tools to stakeholders
  • Develop business critical reporting to help guide stakeholders decision making and track the growth of the business
  • 5+ years’ marketing analytics experience
  • Strong commercial experience querying, analyzing and providing insights
  • Advanced SQL
  • Advanced Excel
  • Knowledge of Adobe Analytics (formerly Adobe SiteCatalyst)
  • Python or R (statistics, regression, forecasting, time series analysis) – Not essential but very beneficial
  • Effective and persuasive verbal and written presentations for project teams and business leaders
240

Senior Data Analyst Resume Examples & Samples

  • Utilize analytical methods and business acumen to provide analysis, and insights that will assist the Business in moving the needle on our key business metrics. Support your insights with a hypothesis-validation approach with an overall statistically driven framework
  • Capable of extracting data from disparate systems to create an end to end perspective
  • Adept at identifying and troubleshooting bad data
  • Contribute in developing data driven business cases designed to empower decision making at the leadership level
  • Provide data as well as insights into SBG's Product and Care delivery experience for our self-employed customers through appropriate analytics methods
  • Provide end to end problem-solving and analytical support on business initiatives
  • Mentor analysts, specialist and stakeholders on subject matter knowledge and processes to ensure that they are repeatable, sustainable and scalable
  • Communicate clearly and effectively to leadership when roadblocks are encountered and assist in their removal
  • Understand, as well as work with structured and unstructured data in various forms and channels - community, contact data, web data, marketing data, in-product data, etc
  • Participate in decision-making in support of the critical priorities and Care strategy
  • Responsible for producing analytic insights that support our business clients’ needs to drive change
  • Partner effectively with other analysts and leaders to identify the business problem, negotiate a proposed solution, execute the necessary programming and analytics, present the solution, and track and implement the solution
  • Communicate insights and proposals in a clear, concise, and persuasive manner
  • Strong advocate of the agile processes and is enthusiastic about working in a team environment to solve problems or complete a large projects
  • Strong understanding of analytics methodologies
  • 5+ years of experience as a technical data analyst or similar position
  • Advanced degree (preferred) in statistics, economics, mathematics, engineering or related field
  • Business programming experience in SQL and languages such as SAS, Perl, R and/or big data languages such as Pig, Hive
  • Experience with Business Intelligence tools such as Business Objects, Cognos, Actuate, Tableau
  • Strong oral, written and presentation skills; ability to communicate across all levels
  • Proven track record of analytics project and process management
  • Through strong interpersonal skills and teamwork, ability to work with business stakeholders and other analyst teams by building bridges and confronting tough issues that need to be resolved
241

Senior Data Analyst Resume Examples & Samples

  • Serve as subject matter expert on digital analytics platforms (Google Analytics, and Adobe Analytics)
  • Proactively monitor core Google Analytics data sets for oversight including data quality and appropriate configurations to meet business needs
  • Provide Google Analytics data/tracking validations, data testing and troubleshooting assistance, including supporting validations on campaign tracking implementation
  • Utilize Google Analytics, Webmaster tools (Google Search Console) and XML sitemaps to audit sites to uncover corrections and updates needed
  • Assist in maintaining IBM Analytics data set
  • Assist in Adobe Analytics implementations, set up and oversight
  • Assist in Adobe Test & Target and Recommendations set up and optimization
  • Manage implementation/deployment of tracking tags across websites, from initial setup to associated tool configurations
  • Implement and update 3rd party tags associated to analytics platforms, testing, usability, SEO, SEM, etc. for collecting and reporting on web activity
  • Test, audit and verify tags are implemented properly
  • Work collaboratively with front and back end development teams to deliver and release tagging updates into production environments
  • Work with vendors to resolve tracking discrepancies
  • Run regression testing for code review and data/tagging audits
  • JavaScript/jQuery and visualization libraries = 5 years
  • HTML/HTML5: 5 years
  • CSS/CSS3
  • W3C DOM methods and properties
  • 8+ years maintenance experience tagging and configuring web analytics solutions/platforms, regression testing
  • Google Analytics, Google Analytics Universal upgrades,Google Tag Manager
242

Senior Data Analyst Resume Examples & Samples

  • Aggregation and development of clinical and operational reports to support the business in service line evaluation
  • Identify, design and/or recommend resources and analytical methods to support the performance improvement activities to meet organizational goals/needs (i.e. dashboards incorporating clinical and business metrics tailored to strategic or operational goals)
  • Develop reports/dashboards and train others on the use of a specific analytics platforms (i.e. Tableau, PowerChart analytics), including coaching about the appropriate procedure available within the platform that will most effectively address a specific problem
  • Develop dashboards and scorecards using advanced visualization techniques and data capabilities such as embedding analytics in clinical and business process tools or designing dashboards tailored to strategic goals
  • Translate business requirements for dashboard data into accurate business intelligence to meets customer needs while maintaining high standards of methodological integrity
  • Function as a consultant to senior leadership about what the data means from a strategic perspective
  • Demonstrate expertise in the use of analytical and statistical tools and techniques (e.g., hypothesis testing, statistical process control, distribution, and control charts) to identify when, where, and how to measure processes and systems and make decisions supported by data
  • Assess appropriate inclusion/exclusion of data based on defined data dictionary; assists in evaluation of data dictionaries
  • Works with Data Analysis & Reporting Manager to develop population based report cards and population based outcome teams regular data reports
  • Provides or updates report cards, population based outcome teams regular data reports and other established reports on a regular basis without prompting
  • Maintains competency in Midas +, Power Chart, Centricity, PowerInsight, Tableau, SQL, Access, Word, EXCEL, PowerPoint and other applications specific to duties
  • Maintains clear documentation and evaluation of work
243

Senior Data Analyst Resume Examples & Samples

  • Analysis of media campaigns performance using Ad server data and beyond
  • Compiling and presenting reports to clients in an easy-to-digest format
  • Management and optimisation of our reporting platform, iAnalyse
  • Basic knowledge of SQL to query our clients’ data and pull meaningful insight from “big data”
  • Management of clients – you will have client facing responsibility and management of various projects
  • Strong analytical skills ideally coupled with creative approaches to problem solving
  • Ability to juggle a number of tasks at once and consistently deliver to high quality and to timescale
  • Ability to build and maintain strong working relationships internally and externally
  • Ability to ‘pick up and run’ with projects when necessary
  • Complete honesty and confidentiality are essential
  • Comfortable working independently, as well as in a team
  • Self-starter with entrepreneurial mentality
  • Proficiency in creating and presenting to internal and external teams
244

Senior Data Analyst Resume Examples & Samples

  • Minimum of 2 years of experience with data visualization responsibilities
  • Minimum of 2 years of experience working with structured and unstructured data
  • Minimum of 2 years of experience working with various databases for various responsibilities
  • Bachelor’s degree (BA/BS) from four-year college or university; or equivalent training, education, and experience
  • Experience working within the Telecommunications industry
  • Experience utilizing Hadoop technology
  • Experience coding within HTML5 and Java
245

Senior Data Analyst Resume Examples & Samples

  • Exhibits integrity though fair and ethical behavior toward others and a demonstrated sense of corporate responsibility and commitment
  • Treats colleagues and partners with respect: considers and responds appropriately to the needs, feelings, and capabilities of different people
  • Can be relied upon to ensure that projects within areas of specific responsibility are completed in an appropriate and timely manner and acknowledges mistakes, learns from those events and is able to move forward productively
  • Ability to balance time to market with a solution and make the right trade-offs along the way
  • LI-BK1
246

Senior Data Analyst Resume Examples & Samples

  • SQL Server 2008 R2/ SQL Server 2012
  • SQL Programming - Partitioning
  • Healthcare Claims
  • Responsible for working side by side with the SME in initiating, building and writing efficient SQL data mining queries on large and complex data sets
  • Responsible for analyzing requirements and implement queries using existing SQL best practices and help recommend best practices for the organization going forward
  • Play a leadership role in data and process migration to a new platform
  • Play a key role in new client implementation efforts on the new platform
  • Collaborating with team members on technology, process and solution support
  • Work with business analysts, IT Infrastructure as needed to define and refine requirements
  • Bachelor's degree in Computer Science/Computer Engineering/Math
247

Senior Data Analyst Resume Examples & Samples

  • Use an administrative application and other applications to ensure data integrity
  • Coordinate changes to computer databases, test and implement the database applying knowledge of database management systems
  • Coordinate, and implement security measures to safeguard computer databases
  • Apply statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide data analysis
  • Responsible for data analysis on various platforms, documentation and testing, and assist in the management of projects from initial scoping through final delivery and sign-off
  • Assist in the evaluation and error detection of the data in the data repository
  • Log requests and track the completion of all incoming forms into tracking spreadsheet and/or Access database
  • Analyze data for inconsistencies, checks for duplicate data
  • Maintain all Corporate Data Services department files/database
  • Lead multiple projects and project teams while maintaining current work load
  • Mentor junior associates on needs, applications and databases utilized by the data management team
  • Bachelor’s Degree in Information Science, MIS, Computer Science or equivalent
  • Minimum of 4 years’ of relevant experience
  • High level of competency in using applications such as MS Excel, MS Access, Data warehouse database design, SQL Server, SQL Query Design and Oracle
  • Minimum 1-3 years’ experience managing Oracle/SQL databases and/or developing efficient SQL queries, stored procedures, indexes, views, functions. Minimum 1-2 years’ experience in data mining techniques and procedures and knowing when their use is appropriate
  • Technical expertise regarding data models, and database design development
  • Knowledge of Utilization Management and URAC standards is a plus
  • Ability to easily and simply communicate with key stakeholders analysis trends and techniques as required
  • Must have the ability to work with large sets of data and analyze it to find conclusions. Ability to take a business problem and clearly define ways to solve the problem
  • Close attention to detail, conscientiousness of details. Must be vigilant in analysis to come to correct conclusions. Must be thorough and precise
  • Ability to define and document processes, process improvements and train members of the team on these processes as they are defined and/or updated
  • Excellent organizational and analytical skills required
  • Ability to lead various projects and team members, mentor junior associates
248

Senior Data Analyst Resume Examples & Samples

  • Build data models that integrate disparate information into structured data sets that allow for automated reporting and analysis across the organization
  • Analyze complex, ambiguous business problems and communicate results in simple terms
  • Serve as thought leader and advisor for analyst team on data management, data analysis, and data visualization
  • Communicate informed conclusions and recommendations across the organization’s leadership structure
  • Undergraduate degree with strong academic performance in economics, statistics, ISYS or other quantitative field
  • 3-5 years of experience analyzing sales, marketing, and/or engineering operations
  • Advanced skills in SQL
  • Advanced skills in a statistical analysis package (e.g., R, Stata, SAS, SPSS)
  • Advanced skills in Tableau
  • Strong working knowledge of data warehousing, data architecture, and data visualization
  • Experience working with sales and marketing data (e.g., Salesforce.com, Marketo, etc.)
  • B2B software experience
  • Graduate degree with strong academic performance in economics, statistics, ISYS or other quantitative field
  • Expertise in a statistical analysis package (e.g.,R, Stata, SAS, SPSS)
249

Senior Data Analyst Resume Examples & Samples

  • Identifying trends and patterns within technology incident data – and understanding the behaviors that cause incidents
  • Understanding the layers of incident defects and what process, behavior, and design changes technology should incorporate in their thinking
  • Lead Problem Management root cause analyses with technical subject matter experts. Diagnosing causes of incidents, determining the resolution, and ensuring that the resolution is implemented
  • Prevent problems and eliminate recurring incidents to minimize the impact of incidents
  • Responsible for the prevention of recurring business impacting incidents by determining root cause and driving implementation of corrective actions by responsible teams
  • Lead the Problem Management process, training and advising users on process, and mentoring first-level associates
  • Overseeing process improvement efforts and reporting on the status of enhancements
  • Using well tested methods, perform text mining to find meaningful data buried in unstructured text data or extract meaningful numeric indices from the text
  • Extract concepts from “large numbers of small documents”
250

Senior Data Analyst Resume Examples & Samples

  • Lead Business Requirements Gathering process, including the creation of deliverables
  • Assist and coach data stewards with developing complex data policies, data metrics, facilitate creation of reports and help them to effectively utilize data to support their roles leveraging best of suite technologies while supporting ACI’s vision
  • Design and maintain business processes and systems requirements
  • Develop process solutions for longer term strategic direction
  • Facilitates data change management impact analysis
  • Looking for Quick Wins that can be translated into repeatable processes and implemented as long term strategic solutions
  • As needed - evaluate use of Enterprise and SaaS products to meet changing business requirements and continually monitor information needs
  • Anticipate business needs, monitor trends in order to recommend functionality enhancements; provide technical advice that enables a customer to solve a problem or improve business processes
  • Follows ACI’s business requirement documentation process utilizing the appropriate tools
  • Measure the effectiveness of data-related projects. Develop and deliver the benchmarking, identification of best practices, metrics and reporting on health of the Information Governance programs
  • Identify new business opportunities available through more effective and creative use of data
  • Assist responsible data owners and trustees to ensure appropriate processes and system controls are established and monitored
  • Network with external partners to stay abreast of best practices in Information Management, MDM and Information Governance
  • Provide gap analysis and stakeholder analysis to show current to future state data impacts
  • Partner with the Data Stewards and/or internal partners to build strong cross-functional teams that can work through project challenges
  • Ensures consensus and agreement across customers and/or internal partners
  • Experience in Information Governance and Master Data Management
  • Strong problem solving skills, self-motivation and the capacity to work under pressure with tight deadlines and strong attention to detail
  • Ability to listen, analyze, discuss and promote solutions with stakeholders while responding to their needs
  • Demonstrated leadership skills with experience leading change