Senior Data Resume Samples

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C Langworth

Callie

Langworth

988 Carley Crescent

Boston

+1 (555) 558 0416

988 Carley Crescent

Boston

Phone

p +1 (555) 558 0416

Experience Experience

New York, NY

Senior Data Base Analyst

New York, NY

Boyer, Johnson and Heaney

New York, NY

Senior Data Base Analyst

Organizing and monitoring personal workload and escalating to manager when issues arise
Regular review of database maintenance and performance improvement procedures
Administrative support of SQL Server versions 2005, 2008, 2012, 2014 and 2016 including: Database Engine, Integration Services (DTS, SSIS), Analysis Services (SSAS) and Reporting Services (SSRS)
Support of PowerShell, T-SQL stored procedures and functions to support internal processes and improve system performance
Working closely with other team members, technical/team leads, management, specialized IT areas and application support teams to ensure consistent delivery and quality of database services
Migration of database objects from development through production following documented standards, policies and procedures (Change Management Process)
Sharing ideas for process improvement and innovative solutions to known problems

Chicago, IL

Senior Data Insight Analyst

Chicago, IL

Muller, Sipes and Jakubowski

Chicago, IL

Senior Data Insight Analyst

Work as assistant to Manager of Marketing & Consumer Insights
Be developing and implementing a framework for data collection, data analytics and other strategies that optimize efficiency and quality
Contribute to comprehensive marketing plans by analyzing client input, audience data and market conditions to create key insights used for strategy development
Developing and supporting social, mobile and digital marketing strategies that deliver on performance results and client business objectives
Developing models that depict or describe historical events and build predictive models for anti-fraud efforts
Ensure client is always delighted and receives impactful, timely work
Provide insights about data and what it reveals about audiences

present

San Francisco, CA

Senior Data Intelligence Analyst

San Francisco, CA

Rempel, Hagenes and Howe

present

San Francisco, CA

Senior Data Intelligence Analyst

present

Working knowledge of Python
Thinking ahead to avoid potential issues – to provide solutions, not problems!
Provide strong TECH support for a mixed team of data miners
Knowledge of other digital/marketing fields e.g. SEO, PPC or web development
Build and maintain strong relations with the AML teams, UAT, PAS in Tampa, the regional and local technology teams, the various lines of business/risk, and AML Compliance
Provide proper workload balancing
Lead the efforts through troubleshooting data issues, perform deep dives into anomalous trends in volumes, and emulate scenarios when necessary

Education Education

Bachelor’s Degree in Computer Science

Northwestern University

Bachelor’s Degree in Computer Science

Skills Skills

Data entities, properties and associations typical of an Corporate Banking organization
Logical functional components typical of an Corporate Banking organization
Regulatory and Standards environment affecting the Banking organization, such as BASEL Risk Data Aggregation Principles, FDS, ISO 20022, SWIFT
Application of Data Standards such as ISO 11179, OMG MOF/UML/CWM
Industry and Vendor Standard Data Frameworks, such as BIAN, and IBM FSDM
Demonstrate an awareness of the data lineage supported by the various levels of data model, in support of the data lifecycle
UML Class, State Transition and Communication diagrams
Data Modelling tools such as Magic Draw, Erwin, Power Designer, XML Spy
Data communication languages such as XMI, XML (including @Annotations), JSON, Profobuf, CSV, COBOL Copybooks, RDF, etc…
Rule Expression Languages and Grammars such as Regular Expressions, Backus-Naur Form, OWL

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15 Senior Data resume templates

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Senior Data Modeller Resume Examples & Samples

Intraday Contract (IDc), the focus is on the delivery of standardised, industry compliant, intraday real-time XML trade messages
BCBS 239 (Basel Committee on Banking Supervision) Risk aggregation project is dependent on very complete, accurate static reference data
University Degree. Preferably Business/Technology
5-7 years or more experience in relevant Technology area
3 years or more experience in business analyst/systems analyst role, preferably in capital markets/investment banking
Communication and negotiation skills
Capital Markets/Investment Banking product domain knowledge is required
Expertise in data management projects including transaction, position and valuation data (Trade, Positions, Valuation, Market Data etc)
Exposure to Front Office data providers and Back-Office data consumers is preferable
Detailed understanding of static reference data management preferable
Understanding of RDBMS concepts and SQL knowledge
SQL data mining experience
Data profiling tool experience preferable

Senior Data Quant Resume Examples & Samples

Research, develop and implement new methods of measuring and analyzing data sets and processes
Design models to answer targeted business questions and engage in data analysis at the highest level
Educate other analysts and business team members to expand impact to additional products or business units
Construct and present research ideas, prototypes and proofs of concepts
Fluent in modern advanced analytical tools (e.g. Python, R, MATLAB etc.)
Substantial experience with the use of relational databases for data storage and analysis including fluency with using SQL for data extraction and management (MSSQL, Oracle, MySQL, postgresql etc.)
Knowledge of NoSQL data stores, MapReduce and software frameworks like Hadoop
Must be able to address multiple priorities in an extremely fast-paced environment."

Senior Data Modeller Resume Examples & Samples

Be interested and stay abreast of developments in the technical space of big data and predictive data analytics
Bachelor’s degree in Engineering, Computing, Actuarial Science or Statistics
Demonstrated ability to work independently yet interacts effectively with different levels of management
Corporate work ethics (integrity being paramount importance)

Senior Data Analyst Digital Analytics Resume Examples & Samples

Effectively deliver timely, insightful and actionable analyses
Perform custom analysis and ad hoc queries as needed
Develop customer segmentation and profiling to help allocate marketing resources
Assist in metrics planning and forecasting including creation of metrics plans
Perform custom analysis, reporting, and multiple ad hoc queries as needed
Google Analytics
Google Tag Manager
Thorough understanding of digital marketing and CRM
A bachelor’s degree, strong applied math and statistics skills, and at least 2 years in marketing analysis are required. Recruiter: Orly Miller

Edm Senior Data Dictionary Analyst Resume Examples & Samples

Create, support and maintain data dictionary
Work with business and IT teams to gather requirements associated with the data dictionary
Develop a thorough understanding of data dictionary inflows and outflows in the chosen business domains/concepts
Develop a thorough understanding of the data dictionary model and structures of source and staging data systems
Guide IT and business teams in the areas of data dictionary, data location, attributes and relationships
Research and identify business indicator patterns and trends in data from the data dictionary
Develop stored procedures and queries to aid data dictionary business analytics
Leverage data dictionary tool to host and support data dictionary capabilities
Support overall metadata environment
Work with business managers and analysts to determine how data dictionary business needs can be addressed with technical solutions
Work closely with the Business teams to identify, define and assist in accessing and analyzing the data in the data dictionary
Drive global involvement and adoption of key initiatives and projects
Collaborate across multiple business platf
Responsible for building vision and CAP planning for complex processes and functional initiatives
Partners with key stakeholders and leaders to build and execute strategy
Functions as primary point of contact for the initiative or project and provides status updates to leaders and stakeholders on project status and defined deliverables
Utilizes expertise to facilitate and lead large cross-functional process improvement teams to deliver results for assigned areas of responsibility
Facilitates assigned areas to develop and maintain process measurements and implement controls to monitor current processes
Develops and may facilitate or deliver training required to implement plans
Bachelor’s degree with a minimum of 7 years’ experience financial service, operations or customer service setting or High School/GED diploma with a minimum of 10 years’ experience financial service, operations or customer service setting or equivalent military experience
Proven ability to manage complex initiatives across multiple teams/platforms
Must have demonstrated project management skills
Proven quantitative and analytical skill set. Strong PC proficiency (Microsoft Suite including: Word, Excel, PowerPoint, and Outlook) or comparable software application
Minimum 5-7 years of experience in data dictionary & data modeling concepts
Must be willing to work out of an office in Norwalk/Danbury, CT Chicago, Eden Prairie MN, Cedar Rapids, Billings MT, Irving TX
Must be willing to travel up to 10%
Strong internal candidate identified, qualified candidates are encouraged to apply
Extensive experience in large scale enterprise data projects & best practices
Understand overall metadata and data modeling concepts
Ability to translate business needs into technical solutions
Experience with data analysis and data architecture
Possess high-level skills with tools and products used in data dictionary development
LEAN Six Sigma trained and certified. A minimum of two years’ experience in a change-oriented role
Previous project management experience, including leadership of project team resources
Demonstrated leadership of a cross-business, multi-functional or matrix project with time horizons of 3+ months
Significant knowledge and experience with financial services products and processes
Strong systems aptitude, able to identify opportunities to leverage technology as a productivity enabler
Able to build and maintain strong relationships at multiple levels of an organization
Clear thinker who can seek out and identify key data themes and distill the findings into an actionable strategy and solution

Ofsaa Senior Data Analyst Resume Examples & Samples

Manage the EDM project plan for the OFSAA Basel III program
Responsible for governing the data analysis, profiling, and validation efforts as part of the OFSAA Basel III program
Partner with the end users to understand their requirements and connect with the data provider community to meet those requirements
Partner with data providers and business users to identify enterprise data elements and put additional rigor around it
Work with the functional teams to define data quality requirements and document them
Interact with IT and data providers to manage SLAs, user issues, and other BAU functions within the OFSAA implementation
Responsible for performing regression testing at the OFSAA platform level
Work closely with OFSAA Data Governance, Data Quality, and Data Reconciliation teams to ensure a unified approach to providing high quality data
Minimum 5 years of relevant risk, finance, IT or data management experience
Experience in analyzing Risk, financial and operational data, drawing conclusions, and developing actionable operational and strategic recommendations
Must be willing to comply with pre-employment screening, including but not limited to, drug testing, reference verification and background check
Applicants for this position who are currently employed on H-1B visa must have at least 2 years of eligibility remaining on their visa term in order for GE to petition for an employment based visa on behalf of such applicantMust be willing to travel 10% of the time
Must be willing to work out of an office in Norwalk CT
Undergraduate degree in Finance, Risk, IT or Data related field
Expertise in bank regulation (Basel III, Dodd-Frank, etc.)
Familiarity with GE Capital and regulatory matters
Experience with master data management, data dictionaries, data quality, data governance, data profiling, data analytics
Expertise of OFSAA (Oracle Financial Services Analytics Applications) data foundation is desired

Senior Data Insight Analyst Resume Examples & Samples

Help develop data products and consumer insights products to support and drive sales
Ensure client is always delighted and receives impactful, timely work
Pull data from Nielsen, Scarborough, Experian and other data sets
Study and align data from disparate sets – online, TV, and mobile measurement
Concept and develop creative ways to represent data; product data visualizations
Serve as primary contact to client contacts by answering questions, performing data requests
Attend client meetings to understand client business objectives
Consult with client and internal team members to determine effective approaches to insight development
Identify and communicate client needs to appropriate account team members
Communicate progress, expectations and deliverables internally and with clients
Work as assistant to Manager of Marketing & Consumer Insights
Contribute to comprehensive marketing plans by analyzing client input, audience data and market conditions to create key insights used for strategy development
Develop unique and innovative approaches to data analysis and industry trend monitoring
Identify and develop new and extended revenue opportunities
Deliver exceptional results
Have a strong affinity for problem solving and story telling — more than spreadsheets and pie charts, you know how to cull and shape the story from the data
Use a variety of approaches to identify internal/external client needs; partner with clients to ensure needs are met and expectations surpassed; continually search for ways to increase client satisfaction
Make decisions with the sense of urgency needed to stay ahead of internal/external client needs. Has a “get it done attitude” that persists regardless of obstacles
Keep searching when the answer is elusive and embrace the researching aspect of the job
Understand sales cycles and how to produce materials that resonate with our sellers and clients
Go beyond pulling data to crafting stories
Consistently look for ways to improve identifying opportunities to increase individual and organizational performance or results. Even in the face of disappointment and/or adversity, remain solution-oriented
Be a statistical “power user” able to find, aggregate, analyze, and manipulate data across multiple channels and sources to develop media strategies and determine effectiveness
Demonstrate project management skills; committed to meet defined goals and timelines
Bachelor’s degree in business, marketing, statistics,
Minimum 7 years’ experience in marketing research, or insights planning within a corporate or agency role
Superior problem-solving and decision-making skills
Excellent communication, planning, time-management and follow-through skills
Strength in data visualization is a PLUS!
Proficiency in Microsoft Office tools, Excel, Adobe Creative suite is a must
Working knowledge of Tablaeu, Domo, and Rhiza a plus
Excellent organizational and time management skills

Aml Senior Data Analyst Avp Resume Examples & Samples

Develop internal partnerships within Citi to provide opportunities for more efficient solutions to various data, system, and applications issues
Analyze and interpret reporting results to assist business users
Support and enhance the production reporting cycle
Ensure that any new procedure, process or report created for business are tested and documented
Required to review and notate dramatic changes in reported numbers and trends
Sr. Data Analyst should have the right balance of the problem solving abilities, technical hands-on data analysis skills, financial business knowledge, and intellectual curiosity that are essential for knowledge discovery tasks

Business Intelligence Senior Data Analyst Resume Examples & Samples

Use of analytics to understand the root causes of problems and the drivers for decision making in driving customer acquisition and retention. The analyst must then be able to clearly, succinctly and persuasively explain the core of these findings to manager
Develop comprehensive understanding of investment opportunities/trade-offs of marketing programs to drive customer acquisition and retention
Drive WW HP Instant Ink forecast coordinating with regions - provide analysis on forecast changes, actuals vs. forecast
Lead development of predictive marketing mix model
Reporting and analysis projects span sales performance, business KPIs, usage analysis to marketing promotions and in-market experiment results analysis
Bachelor’s or Master’s degree in any of the following: Marketing, Finance, Engineering, Economics, Science, Mathematics and/or MBA
6+ years of data analysis work experience in the IT and/or consumer electronics industry
Significant experience in analyzing customer database data
Experience in forecasting
Distinctive strategic and analytical capabilities. Demonstrated capacity to identify and communicate business insights from complex, data-driven business analysis
Expertise with statistical analysis (regression, factor analysis, ...)
Knowledge of one of the following technologies or software: SAS, Olikview, SiteCatalyst
Basic SQL Proficiency preferred
Understanding of finance basics, especially Income Statement
Expert knowledge of marketing principles, practices, tactics and tools
Startup attitude and a passion for business innovation. Ability to work in new, fast-paced environments
Excellent written/oral communication skills. Experience creating intuitive presentations of complex information. Fluent in English

Senior Data Analyst Team Lead Ccar Resume Examples & Samples

15 %: Data Collection
45 %: Data Analysis and Report Production
25 %: Team Leadership
15 %: Special Projects
Prefer 5+ years of experience in areas such as risk/portfolio management and analysis, finance/accounting, information systems, real estate industry (sales, appraisal services, etc.), or retail/commercial lending
Prefer 2+ years managing people in one of the areas mentioned above
Comfortable working both independently and collaboratively in a dynamic and challenging team environment
Results oriented and delivery focused

Senior Data Analyst Core & Growth Resume Examples & Samples

Conduct large-scale data mining to inform and advance product development
Working with the Efficacy & Research team, the Data Analytics and Adaptive Learning team and the Information Security teams, adhere to data privacy and security guidelines and regulations
Work with the Efficacy Analytics & Studies Director and Efficacy Analytics & Studies Manager to prepare and present reports and analysis, capture progress, trends, and make appropriate recommendations and conclusions to improve Pearson product development
Communicate findings through internal reports, journal papers, and executive summaries
A master’s degree or higher in computer science, statistics, mathematics, data science or a related field is a must. A minimum of 2-3 years of industry and/or research experience beyond your degree would be advantageous
Proficiency in applied linear and multi-level models; model diagnostics and sensitivity analyses; applied multivariate analysis; predictive modelling; segmentation analyses, and experimental design and time series
Fluency in using scientific computing tools like SPSS, SAS, R, Python
Experience with SQL a plus
Exceptional problem solving skills, willingness to learn new concepts and methodologies as needed, quickly, and apply them to new problem solving scenarios
Ability to work remotely with a high degree of autonomy while also contributing to working in a dispersed but collaborative team on high impact problems

VP-senior Data Analyst Resume Examples & Samples

3+ years of experience with data, extraction transformation and load analysis techniques and practices
Experience in Risk Management, Operational Risk, Technology Risk and/or Operations Risk related projects is a plus
Meticulous attention to detail and a willingness to proactively follow-up on outstanding tasks
Strong verbal, written, interpersonal and analytical skills. Additionally, the individual should possess good presentation skills
Proven ability to work independently, requiring minimal supervision when appropriate, and effectively in a complex environment with multi-location team structure
Excellent References

Senior Data Power Specialist Resume Examples & Samples

At least 3 years experience in IBM DataPower X150, X152
At least 3 years experience in analysis, design, coding and unit testing
At least 2 years experience in eXtensible Stylesheet Language Transformations (XSLT), Jason, DB2, Structured Query Language (SQL) Server
At least 2 years experience in leading technical teams in multi-vendor environment
At least 2 years experience in Middleware: Message Broker, DataPower, or Java
English: Basic knowledge

VP-mantas Senior Data Analyst Resume Examples & Samples

Utilize Mantas Data Miner tools and any other necessary tools necessary for performing daily maintenance and project implementation for the Mantas AML Surveillance program
Maintain knowledge of Mantas business scenarios and how they are implemented
Understand system processes, analyse data feeds and reporting for other key systems as required
Understand the AML reference/transaction data and it’s relationships in order to perform data analysis
Maintain the project file and all required technical documentation
Identify risks and incorporate appropriate technical solutions within the project plan
Candidate must have deep understanding of all phases and requirements of the Software Development Life Cycle
Coordinates with Development Manager, Data Analyst to align business and technical standards and policies
Exposure to other AML surveillance applications within bank
10+ years of experience in implementing Compliance Technology solutions for Financial industry
Prior 5+ years of experience working as a Mantas Dataminer
High proficiency in MANTAS data miner tool for scenario design, development, analysis and performance tuning
High proficiency in MANTAS data model (highly preferred)
High Proficiency in Unix Linux/Solaris environment and shell scripting skills including K-shell, awk, Perl
High proficiency in Oracle 10g/11g development and performance tuning experience
High proficiency in Oracle Queries and SQL*Loader for detailed data quality analysis experience
Exposure to other RDBMS, for example, Sybase, Natezza
Bachelor degree in Computer Science with 10+ years of experience in Information Technology

Senior Data Analyst Analytics Resume Examples & Samples

BA/BS degree in Information Science, Statistics, Finance, Economics, Marketing or a related discipline is required
3+ years of work experience in business analytics. Financial Services industry experience is preferred
Experience in Excel and relational databases e.g. SQL Server, Access, Oracle is required. Additionally, familiarity with business intelligence tools and proficiency in PowerPoint are important
Experience in statistical analysis tools such as R (preferred) Minitab, SAS, or SPSS is a significant plus
Experience with statistical concepts such as conducting correlation analysis between various data sets, selection of appropriate trend line models and forecasting techniques
Project management experience and an ability to contribute to and/or manage multiple projects at once in a fast-paced environment
Ability to work within a team, take the initiative and to interact effectively with business partners leveraging strong interpersonal and written communication skills

Senior Data Resume Examples & Samples

10+ years experience with information modeling, information visualization, data modeling, data management technologies, data integration, data sourcing, data analytics, data warehousing, metadata, semantics and ontologies
10+ years experience in data protection and information security
Strong understanding of large scale system, information and technology architectures, including application integration patterns, messaging, service-oriented architecture, information models, and data lineage
10+ years experience applying the above disciplines to real-world business problems, especially in the domains listed above
Demonstrated ability to deliver results under demanding timelines
10+ years experience working with enterprise-scale large data platforms using SQL and/or NoSQL databases and other Big Data solutions
10+ years of hands-on experience with data and process modeling tools (i.e., ERWin, ProVision, MagicDraw) and working knowledge of programming languages such as: Python, PERL, Java, JavaScript, C++, shell
Ability to define/manage detail project plans, milestones, manage deliverables, understand financial/budgetary impact of technical decisions
Strong writing and communication skills with ability to effectively communicate with business and technology partners, peers and senior management
Must exhibit strong interpersonal skills and ability to work with multiple stakeholders to drive success
Willingness to learn new technologies, methodologies, applications and grow with team
Knowledge of the Financial Services industry is highly preferred

VP-senior Data Analyst Manager Resume Examples & Samples

Delivery of all BAU & Regulatory reporting for key portfolios and deliver ad hoc analysis to provide further insight and comparison
Monitors the output of team and provides robust feedback and direction to ensure the correct quality of reporting is produced
Monitors & interprets trends and significant changes, providing robust insight and further investigation / commentary where required
Liaises with key stakeholders in the business and presents solutions/output in a logical and consistent format
Evolves reporting requirements to meet changing business needs and continually seeks process improvement opportunities and recommend solutions
Develop new and innovative reporting to deliver improved insight in an efficient manner that meets the needs of stakeholders
Ensures at all times that accuracy, efficiency and quality are paramount in the delivery of BAU reporting
Regularly seeks feedback from key stakeholders to ensure the ongoing delivery of value-add analytics and reporting for their portfolios
Set the schedule of work
Participate in overall team activities including planning, resource allocation, training and other important team-building functions
Manage priorities in line with internal customer expectations
Provide mentoring and direction to team members who will be employing analysis and modelling techniques and implementing policy and processes
Be accountable for delivery of a suite of reporting for the portfolio, designed and developing new reporting to meet business need, moving towards best practice, and investigate specific issues
Working with the key stakeholders to support business change and specific activities
Package ideas in a logical, compelling and influential way, which will ensure success and explicit understanding
Set the schedule of work and manage priorities in line with internal customer expectations
Provide clear, concise and effective communication of the project’s progress and results
Analytical ability - proactively keep their own specialist skills and knowledge at leading edge standard in order to fully fulfil their role. Must have a clear understanding and experience in performing data analysis utilizing a standard statistical package such as SAS (preferred)
Team leadership/working - a mentor who is capable of providing direction, personal development and motivation in a positive team environment. Ability to work with and in cross-functional and virtual teams. Strong people management skills including the ability to build, motivate and retain a team of strong analytical talent
Conceptual thinking - Strong strategic thinker with good intellect and ability to focus on the whole portfolio of CRO activities and their associated value generation
Communication - Effectively and concisely communicate key issues and ideas through correspondences and verbally without supervision. Interface with upper management effectively. Interface with various departments effectively to ensure project delivery. Negotiate effectively with suppliers to obtain services
Organisational awareness – Ability to see the ‘whole picture’ and recognise the impact and opportunities of activities across the organisation
Innovation – Create appealing and innovative product concepts and communications. Ability to evaluate financial direct marketing concepts and communications
Proficiency in performing data analysis utilizing a standard statistical package such as SAS (preferred). A clear understanding of the methods underlying credit risk reporting
Experience in the credit industry
Completion of a degree in a numerate or semi-numerate subject or significant relevant experience
Specialist risk management knowledge relating to Underwriting, Account Management, Impairment or Collections and supporting systems
A self-motivated team player who is able to define, structure and prioritize work for self as well as others, but who also has the flexibility and capability to change priorities when circumstances dictate
The ability to understand and commission complex analysis to support strategy testing
The role holder also needs a strong commercial focus and a good understanding of the drivers of credit card profitability

Senior Data Archtect Resume Examples & Samples

Functions as data and technical architect for large-scale, enterprise-wide projects
Evaluates logical and physical data models, creates DB2 objects and analyzes SQL access paths from system and business requirements
Diagnoses, researches and resolves SQL and database-related faults and performance problems
Acts as a high-level technical expert, and mentors less experienced colleagues in addressing data-related problems of systems integration, compatibility and multiple-platform/DBMS integration
Performs feasibility analysis on potential future data implementations
Integrates multi-discipline views on data architecture and maintains appropriate repositories of data model and dataflow diagrams relating to the subject discipline
Develops and communicates project plans, work assignments, target dates and other aspects of assigned projects. Ensures that data projects follow prescribed development life cycle and meet quality standards
Keeps current with database, data modeling and data warehousing trends and technological innovations in order to make appropriate development recommendations
Functions as a technical expert in the design, development, modification and debugging of datamodels, databases, etc
Advises technology architects on database subjects appropriate for supporting lines of business and enterprise architectural strategies

AML Senior Data Analyst Resume Examples & Samples

Assist/lead in analysis, enhancement and implementation of AML globally
Responsible for the data mining, manipulation, formulate/ propose solution to support new reports (e.g. New Product Analytical Reports)
Use appropriate data analytic, statistical tools and techniques to analyze a variety of data sources which lead toward the optimal solutions (knowledge of machine learning a plus)

Senior Data Analyst Onedrive & Outlook.com Resume Examples & Samples

Manage OneDrive and Outlook.com analytics
Provide thought leadership in data collection & telemetry
Build marketing key performance indicators for both OneDrive and Outlook.com across B2B and B2C segments to derive insights that will determine future investments

Senior Data Analyst, Employee Engagement Resume Examples & Samples

Manage key elements of Global Employee Engagement data survey administration process (i.e. hierarchical build)
Facilitate collection of employee data sets from disparate sources
Compile and normalize data sets
Scope special reporting needs
Ability to create and deploy additional organizational surveys using internal survey tools
Bachelor’s Degree in Analytics, Human Resources, Business or equivalent, coupled with a minimum of 2-4 years of experience working across a large, decentralized organization
Excellent numeric and analytical skill set – collect, organize, interpret data, analyze results and provide ongoing reports. Strong/expert level data experience (Excel/Access) and analysis is critical to this role
Prefer candidate with international experience with data management
Experience in performing data analysis to compare datasets from various technology databases
Ability to evaluate data and trends and come to conclusions based on the findings
Excellent interpersonal skills and strong verbal and written communication skills
Ability to work autonomously, ability to work under pressure and meet critical deadlines
Strong time management; ability to prioritize multiple tasks concurrently while working effectively in a fast-paced team environment

Avp-senior Data Analyst Resume Examples & Samples

Support HRSS global operations management’s reporting methodologies, to ensure consistency in reporting global business performance metrics
Partner with internal stakeholders to deliver a robust set of peer benchmarks metrics aligning with organization goals
Lead the generation of monthly reports; publish views and trend on global operational performance
Facilitate ad hoc and special requests
Provide input on training programs
Responsible for data quality and master data maintenance
Implement and improve existing processes and bring efficiencies to procedures and tools
Generate and maintain standard operating procedures of global reporting guidelines and exceptions
Interact with all levels of management, including regional/global mangers and senior management from various products and functional teams
5-10 years of relevant analytical/ reporting experience
Advanced proficiency in MS Excel, Excel VBA, Access and Macros
Experience in building queries to generate customized reports
Experience with producing MIS reports, manipulating data and data analysis
Experience with industry standard reporting tools (e.g. QlikView and Business Objects) preferred
Experience with SharePoint and knowledge of HTML preferred
Strong Analytical and Problem Solving skills
Ability to work within a team environment as well as autonomously, multi-task and take ownership of deliverables
Ability to prioritize deliverables in a demanding, highly pressurized environment
Ability to navigate effectively in a changing environment where competing priorities require flexibility
Must have advanced cross-cultural and cross-functional collaboration skills

VP-senior Data Intelligence Analyst Resume Examples & Samples

Strong organizational, analytical, problem solving skills and time management capabilities
Must be able a self-motivated individual who prioritize and manage multiple activities and drive results with a high sense of accuracy and urgency
Must possess strong verbal and written communication skills and have the ability to interact effectively with people at all levels of the organization
Support the hiring process of staff selection and recruitment
Ensure all Data in MANTAS AML is populated following the Mapping approved in BRD
Providing Technical support to the team, key performance tips and project status updates
Responsible for escalating Mantas Production Incidents to internal and external entities, also to include senior managers, technology and other global Citi AML monitoring and compliance units
Responsible to standardize SQL and procedures as in LATAM DI team
Excellent knowledge of MANTAS, CMT and relational databases such as Oracle, SQL Server, and Teradata and Data Warehouse and current CITI Database management tools
Execute analytical tasks in support of AML Operations & Compliance
Test support, design and deep Tech knowledge of UAT and SIT environments
Financial and AML proven experience required
Minimum Bachelor’s degree or equivalent in Computer Science required. MBA/MIT degree desirable
Significant MANTAS Data analysis experience
Project Management/AML Operations background
Oracle (MANTAS) strong knowledge of data model elements
Knowledge of BSA, AML, and other banking regulations
English / Spanish written and verbal communication skills strongly preferred
Full MS Office knowledge , Business Objects, SQL developer, SAS, Visio, Toad, Hyperion, CMT
Available for traveling to LATAM up to 10% of time
Background working in financial AML industry
Spanish fluency is a plus

Senior Data Analyst / Team Lead Resume Examples & Samples

4 plus years with business analysis and software testing experience and a background in documenting operational processes
Knowledge and experience with SQL queries
Experience conducting queries within a relational database
Proven experience documenting analysis in Metadata
The ability to quickly learn Enterprise Data Management
Maintain and follow Enterprise Data Management (EDM) standards
Data Management experience
Agile development methodology
Working with a Metadata Repository
Background in operational process improvement, execution, and measurement

Senior Data Intelligence Analyst Resume Examples & Samples

Provide strong TECH support for a mixed team of data miners
Build and maintain strong relations with the AML teams, UAT, PAS in Tampa, the regional and local technology teams, the various lines of business/risk, and AML Compliance
Understand advanced data techniques and statistics
Serve as Subject Matter Expert in Data Analysis
Provide innovative data solutions to increase Hub effectiveness and efficiency,
Add to the body of knowledge in the efforts to enhance Global AML monitoring
Provide analytical support for all LATAM regional projects
Lead the efforts through troubleshooting data issues, perform deep dives into anomalous trends in volumes, and emulate scenarios when necessary
Secure the team’s training and honing of skills in the automated AML systems, behavioral scenarios and data interface specifications
Help the Global DI effort to standardize analytical procedures, tools and techniques
Provide proper workload balancing
Minimum Bachelor’s degree or equivalent work experience required
MBA/MIT degree desirable
Minimum 3-5 years of relevant experience
Significant Finance and data analysis/ AML experience
Spanish fluency as a plus
O Strong data analytics, modeling, math, and statistics skills

Senior Data Redaction Developer Resume Examples & Samples

BS or equivalent degree in Computer Science or equivalent fields
Extensive hands-on experience in identifying and securing sensitive data (i.e.: PII)
Experience with Ab Initio Co>Op, Conduct>It, Operation Console, Multifile system, Parallel processing , Meta programming and Resource management of processes
Extensive hands-on experience with SQL programming Mainframe knowledge a plus
Experience in creating Requirement/Specification documents
Experience with source code management and deployment, and release management are a big plus. Highly effective verbal and written communication skills Excellent organizational and project management skills Strong analytic and troubleshooting skills
Banking or financial knowledge is a plus. Prior working experience with Citigroup is a big plus

Senior Data Redaction Specialist Resume Examples & Samples

At least 11+ years of experience in Information Technology, Information Security, Data Transformation Techniques and Software Development
In-depth knowledge and experience in working with various types of sources/targets with Ab initio - files, tables, implementation of reusable graphs and code to improve client onboarding timeframe
Solid understanding of Relational and Referential Integrity concepts of RDBMS –Sybase/ Oracle/SQL Server /Db2, knowledge of PL/SQL
Extensive hands-on experience with Unix and shell scripting
Knowledge/Experience with Mainframe files, copy jobs and data handling
Experience with Connectivity protocols – Knowledge of NDM, SCP,SSH. Proven Technical leadership and strong functional experience
Experience with all phases of the Software Development Life Cycle process
Good understanding of Autosys and creating/scheduling jobs
Ability to demonstrate both technical and functional/business knowledge regarding past projects. Must be able to work independently as well as in a team environment and ability to prioritize tasks and projects so that deadlines are met

Senior Data / Yield Analyst Resume Examples & Samples

INVENTORY
Bachelor’s Degree from four-year College or University is preferred
Must have experience working on a Trading Desk
At least 2+ years of successful experience within the Online advertising environment
Expertise of the online advertising industry, trends, technologies, and pricing models (CPM, CPC, CPA)
Excellent verbal and written business communications skills, be able to multi task, and be detailed oriented
Experience with managing campaign strategy and KPIs
Excellent math and analytical skills
Ability to identify customer needs and communicate them to constituents
Must be proficient in Microsoft Office applications, specifically PowerPoint and Excel. Knowledge of how to extract data from large databases is preferred
Strong ad server trafficking and reporting experience (DFP/DFA/OAS highly preferred)

Senior Data Analyst for Traded Products & Market Risk Team Resume Examples & Samples

Perform as the authoritative Traded Products and Market Risk data Subject Matter Expert (SME) who will be hands-on with the data, understanding the overall flow and usage of information from the upstream sources and consolidation points through the capital calculation engine and reporting, including understanding of the regulations, policy interpretation, product mix, derivations, risk drivers, calculation logic, and downstream capital processes
Drive operational excellence ensuring critical process controls and data validation activities are performed as data are consumed by the capital calculators during the monthly production cycle, ensuring that DQ scripts and measurement processes remain timely and relevant, and ensuring ad hoc requests and data incidents are researched, documented, and resolved
Analyze data issues within established SLA timelines and recommends Defect or Enhancement classification to the Monthly Research Prioritization Governance meeting
Understand the interactions of business partners and their processes with the data used in capital calculations and reporting and work with them to enhance business processes for ongoing regulatory changes affecting capital use cases
Collaborate with upstream business and technology partners, prioritize needs, and influence actions to resolve identified data defects and deliver enhancements in a timely fashion
Act as key representative for the Traded Products and Market Risk work steams on all project initiatives developing requirements, testing strategies, identifying potential risks, impacts and ultimately defining the key success factors. Effectively present to and influence business and technology leadership
Provide guidance and support to the Traded Products and Market Risk DSE Liaison and Project Manager in the execution of their tasks
Hands-on data and process analysis skills. Independently research problems, determine root causes and propose solution
Business knowledge of Traded Products or Market Risk characteristics and exposure data and relationship to other data on lending systems
Strong SQL – joins. Strong Excel – pivot tables
Strong Testing – Test Plan Definition, Script writing, Test Execution, Analysis and Regression Testing
Reconciliation of Traded Products and Market Risk data to the General Ledger and other definitive sources
Proficiency with project management deliverables and effective liaison between business and technology teams
Crisp and clear communication to a variety of business and technical audiences including senior management and junior associates
Bachelors degree and seven or more years of experience in quantitative finance, capital modeling or reporting, risk data analysis, or IT business analysis, or five years experience if combined with a related Masters degree. Desired Skills
Working knowledge of SAS, Python, and Tableau
Proficiency with Agile project management deliverables and effective liaison between business and technology teams

Senior Data Analyst, Investments Resume Examples & Samples

Good working knowledge of securities and their various attributes
Understanding of Asset Management business, and the various functions needed to support the business
An attention to detail and the desire to get things right
Ability to multi-task in a fast paced environment
Creative thinker with excellent analytical, communication and presentation skills
Goal oriented team player willing to work with a global group of professionals across Asset Management and Northern Trust as a whole
6 plus years of relevant experience in the financial management industry in an analyst type role
Previous Asset Management experience desired, not necessarily required

Avp-senior Data Analyst Resume Examples & Samples

Minimum Bachelor’s Degree and/or equivalent workforce experience in Science, Computer Technology, Mathematics/Statistics, Engineering or Business/Economics. A strong background in applied mathematics within the candidate's academic and/or workforce experience is a significant plus. Master’s degree desirable
Strong data analytical skills. Ad hoc prototyping skills using multiple techniques to solve a myriad of business scenarios
Extensive knowledge of relational databases such as Oracle, SQLServer, Data Marts and Data Warehouses

Senior Data-data Analyst Resume Examples & Samples

Strong experience SQL and SAS (essential)
The ability to draw insights from data which can be produced into beautiful reports for senior stakeholders
Tertiary degree qualified in Mathematics, Statistics or another relevant area
3-4 years experience in data analytics would be beneficial
Risk experience is highly experience but not essential
Tableau experience is desirable

Senior Data Recovery Engineer Resume Examples & Samples

Evaluate and determine if and how data can be recovered from a wide variety of recording and storage media, including magnetic and optical media, file and mail systems
Recover data from media with a wide variety of problems, including minor physical, electrical, and firmware damage
Reverse engineer software and hardware
Replace defective read/write recording head assemblies and transplant platters on defective hard drives
Analyze and repair damaged file systems and deleted files
Prepare data return to clients on new recording and storage media
To do reverse engineering of firmware, file systems, and application structures, as well as hardware, the following knowledge is required
Modern programming languages concepts
Real-time, operating system and microcontrollers software design concepts and architecture of the products
Electrical engineering design concepts
This task also requires strong critical thinking, scientific methodology, and analytical skills
MS degree in EE or Computer Science and 3+ years experience in data recovery
Experience with SATA/PATA, SCSI, USB, serial bus analysis is strongly preferred

Senior Data Admin Specialist Resume Examples & Samples

Coordinates new data development ensuring consistency and integration with existing data warehouse structure
Reviews business requests for data and data usage; researches data sources for new and better data feeds
Participates in continuous improvement efforts in enhancing performance and providing increased functionality; including performing proactive maintenance such as ensuring continued space availability; monitoring activity; and documenting problems; changes; and solutions
Assignments may include design of data dictionaries; database structure and layout; installing; upgrading; and managing database applications
Stay current on vendors\' best security practices in relation to organizational requirements
2-5 years of related database analysis and/or administration experience

Senior Data Analyst, Land Management Resume Examples & Samples

Excellent analytical, planning and organizational skills
Ability to query and analyze data
Proven problem solving abilities
Ability to interface with all levels of personnel
Ability to exercise independent judgment on matters of significance
Ability to work with functional groups and different level of employees throughout the American Tower organization to effectively and professionally achieve business results
Strong follow-up skills; ability to organize applicable department timelines and follow up with internal and external customer needs as needed
Strong track record of building and maintaining solid relationships with both internal and external customers and vendors
Self-motivated, able to work both independently to complete tasks and respond to department requests as well as collaborating with others to utilize resources and knowledge in identifying high quality solutions
Bachelors degree (preferably in a related field) required
3-5 years of data/analysis experience required
Strong Microsoft Office skills and complex data analysis experience required
Experience with Oracle and Ad hoc reporting tools (i.e. Cognos, OBIEE, SQL) is highly preferred
Knowledge of SQL to write views and query data required

Senior Data Package Administrator Resume Examples & Samples

Scan and link data in LIMS for different pharmaceutical groups
Assemble pharmaceutical data packages in accordance with departmental procedures and client requirements
Use departmental databases to track data packages
Pick up, deliver, photocopy/scan, file raw data and reports
Monitor and order supplies
Strong scientific, computer, documentation, and organizational skills
At least two years administrative experience with good computer skills
At least one year administrative experience in fast-paced environment

Senior Data Modeling Analyst Resume Examples & Samples

Communicate with and deliver presentations to end users on analysis results
Oversee the completion of projects coordinated by lesser-experienced staff
Produce implementation plans and participate in audits to support the implementation of statistical models and other decision tools
Support the development of new analytical and data products and services, and the enhancement of current processes and offerings
Possible remote / telecommute work options. All U.S. locations considered
Advanced degree, preferably in Statistics or Mathematics, exposure to machine learning techniques a plus
Retail banking analytical experience preferred

Senior Data Analyst Multichannel Analytics Resume Examples & Samples

40% Defining and executing the KPIs
30% Documenting current and defining new alerts/exceptions in our OMS process and recommending actions (process or system improvements)
20% Analyzing the customer survey data and make recommendations for improvements
10% Takes the lead on new programs and initiatives for order management team
Must pass pre-employment test if applicable
Demonstrated business/financial modeling capabilities with tools such as Excel and Access
Demonstrated skills in applying statistical analysis principles to business challenges
Demonstrated communication and interpersonal skills, ability to work well with others
Strong analytical skills with attention to detail; self-starter

Senior Data Analyst Search & Product Findability Hdqc Resume Examples & Samples

50% - Lead all phases of project's life cycle including defining the business need, establishing criteria and business requirements, understanding the impact of all business and designing and rolling out the project
25% - Serve as a subject matter expert and perform research and or analysis within assigned projects or category of business
25% - Establish and report on metrics or assigned projects or categories to gauge business value
Recent experience in a Data Analyst role is required
Ability to collaborate with management, product strategy and product development teams on vision, strategy and program design
Work with stakeholders, users and subject matter experts to gain a functional understanding of the application, document business knowledge, collect and prioritize requirements
Determine operational objectives by gathering information from subject matter experts in the following areas: product development, product strategy, operations, field and store associates
Experience improving the user experience through the use of search and discoverability technologies to optimize for relevance and product findability
Ability to work cross-functionally with developers and designers to drive product development around discoverability requirements
Become an expert on current and new product categories
Ability to mentor team members and take project leadership as needed
Data-driven approach to prioritization and manage product roadmaps in an Agile SDLC
Strong project management skills, including strong process orientation, ability to work and lead cross functional teams, strategic thinking and creative problem solving skills
Analytical; Extensive knowledge of statistical methods and modeling
Ability to establish priorities and procedures for accomplishing work within established deadlines; ability to lead multiple projects and manage toward deadlines and deliverables
Strong communication and presentation skills, including ability to interact at Officer level; ability to negotiate and persuade
Proven success in increasing management roles handing multiple projects and competing deadlines
Ability to assimilate extensive amounts of detailed data, analyze and summarize vast amounts of information as well as understand all of the detail supporting the analysis

Senior Data Insight Analyst Resume Examples & Samples

Developing and supporting social, mobile and digital marketing strategies that deliver on performance results and client business objectives
Working on projects to ensure they are meeting internal and client expectations
Educating client and internal teams on social, mobile and digital marketing value, best practices and ongoing evolution implications
Supporting and presenting as part of new and existing business development with emphasis on social, mobile and digital marketing opportunities

Avp-senior Data Analyst Resume Examples & Samples

Use appropriate tools and techniques to analyze a variety of data sources
Perform data searches, quantitative or qualitative research, and/or other ad hoc requests
5+ years in data intelligence or data analysis experience required; Business experience, financial industry, technology, information management, computer science, business intelligence or data mining background preferred
Candidate should be well versed in applied research and 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
Experience with Hadoop and bolt on components (Hive, Spark, Platfora, Python, etc) is a plus
Candidate must have experience with statistical data analysis, or have experience using statistical data methods and programs to develop intelligence analysis assessments and products; knowledge of R program language and data visualization a plus Extensive knowledge of relational databases such as Oracle, SQL Server, and related query and data management tools (SQL, SAS) a plus
Candidate should have demonstrated the capability and maturity to work in an individual capacity and must proactively seek out ways to enhance the mission and identify new data analysis needs

Senior Data Analyst Team Lead Resume Examples & Samples

Minimum 8 years experience as a data and/or business analyst in the financial services industry
Understanding of data profiling, data comparison and data validation techniques
Strong written and oral communication skills, with ability to demonstrate analytical thinking and problem solving skills
Able to forge productive working relationships with senior business users and business managers
Ability to facilitate the design of integrated solutions (process, technical & organizational)
Drives adoption of the designed processes and solution use with stakeholders
Successful candidate will have strong analytical and problem solving skills, understanding of trade lifecycle from execution through settlement, good knowledge of reference data, and above-average presentation and communication skills

Senior Data Analyst, Work Force Management Resume Examples & Samples

You are an independent thinker, and self-starter
You have the ability to advise/influence senior management with your results
You enjoy the world of data analytics
You can clearly articulate your stance and back up you findings
You are proficient in Excel and Powerpoint

Senior Data Evangelist Resume Examples & Samples

Act as a subject matter expert around Akamai’s data assets and as a primary point of contact for related questions
Collaborate with engineering colleagues and others across the organization to identify sources of relevant data sets
Develop tools & systems to support the acquisition, aggregation, and processing of relevant data sets
Specify requirements for data visualizations to ensure successful collaboration with Technical Marketing team
Work closely with the Web team to produce and publish dynamic data-driven content on Akamai.com, as well as with the Public Relations and Social Media teams to promote the content
Develop and maintain internally accessible tools to make commonly requested data easily accessible
Support requests for relevant platform data points from Public/Investor/Analyst Relations teams
Participate in internal Big Data initiatives as appropriate
Develop Akamai’s industry thought leadership position through blogging, social media, and speaking opportunities
Minimum 8 years of relevant experience with Bachelor’s Degree in Statistics, Computer Science, Engineering, Math, Physical Science, Social Science or other related field
2+ years of experience with scripting languages (Python, JavaScript, etc.)
2+ years of experience building and applying statistical models using statistical analyses and machine learning algorithms
Familiarity with Unix/Linux, Neo4J, R Studio, Anaconda, Hadoop, Map/Reduce, Spark, Hive or equivalent software
Familiarity with JavaScript visualization tools like D3, HighCharts, ChartJS, etc
Knowledge of Internet application layer protocols
Experience communicating complex data and analyses to non-technical audiences
Experience with Salesforce APIs

Senior Data Scientists Resume Examples & Samples

7+ years of experience with real world data
Solid understanding of applied statistics, predictive modelling, data mining, machine learning, and other quantitative methodologies and a passion for innovating with modern data science algorithms
Knowledge and practical expertise in conventional & emerging methods and techniques including regression, time-series analysis, Decision Tree, Boosting, Random Forest, kNN, etc
Expertise in data analysis software packages or languages such as SQL, R, SAS, SPSS, Matlab, Octave, Python
Expertise in processing big data sets from heterogeneous data sources
Experience of relational database systems such as DB2, SQL Server, …
Keen interest in new methods and technologies
Familiar with statistical model and algorithm development methodologies and processes
Highly self-motivated, self-directed and eager to learn, with a keen attention to detail
Clear communicator who can adapt to a multidisciplinary audience
Implementing real-time analytics with emerging tools and packages
Data visualization and implementation
Experience of noSQL database systems
Experience of Apache Hadoop ecosystem, Hadoop, Hive, Pig, Spark
Knowledge of cloud computing services
Knowledge of web analytics is a plus
Analysis Process Designer

Senior Data Analyst, Architecture Resume Examples & Samples

Develop data extract and analysis routines using SQL, Excel, and BI reporting tools to support Data and Analytics initiatives
Translate business and data requirements into clear project requirements for data architects
Ensure data design follows the prescribed reference architecture and framework and reflects appropriate business rules and facilitates data integration, data conformity and data integrity
Ensure Data Stewards are abiding to defined Data Governance polices approved by the Data Steering Committee through conducing audits through the Data Audit process
Interpret and deliver impactful plans that specify strategy and improve data integration, data quality and data delivery in support of business initiatives and roadmaps to achieve results
Experienced in Theme Park, Retail or Hospitality
Exposure with using Data Wrangling technologies like Paxata
Exposure with BI Technologies like Tableau
Exposure to Big Data technologies like HortonWorks, HBase, Kafka
Expertise in high volume, transactional environments with third party business system integrations
Excellent organization and project management skills with a track record of successful project delivery
Excellent problem solving and analytical capabilities
Strong verbal/written communication skills
Strong judgment and decision making skills
See’s the possible in an impossible situation
Bachelor’s degree (or equivalent) in Management Information Systems, Technology, or related field, Master’s Degree highly desirable
15+ years technical, enterprise or data analyst experience
Strong database understanding and development experience working in collaboration with full-stack developers and analytics teams
Experience in NoSQL technologies a plus
Track record of successful data analysis projects
Track record of successful large scale technical implementations
Experience in defining and delivering on a technical roadmap
Experience in successful collaboration with technical teams, functional business lines and third party vendors/contractors
Flexible and adaptable in regards to learning and understanding new technologies and data architectures
Strong written, oral, and interpersonal communication skills
Ability to conduct research into business intelligence, visualization, and business analysis tools
Ability to effectively prioritize and execute tasks in a high-pressure environment

Senior Data Achitect Resume Examples & Samples

Development and maintenance of bank-wide data architecture standards around topics like data modelling, data lineage, golden sources, implementation design patterns & best practices, tooling, etc. in a collaborative exercise with the divisional data architects and subject matter experts. Develop bank-wide adoption frameworks, coordinate the bank-wide adoption of the standards aligned to agreed priorities, and measure progress
Own the data governance meta-model and contribute to the development of data governance operating models. Work with bank-wide data architects, business architecture and CDO groups to further detail operating principles and interactions between central and federated groups towards data governance goals
Coordinate across global SMEs to identify and resolve strategic data design topics related to bank-wide data management. Contribute to the bank-wide Data Architecture Decision Board (Data Design Board – DDB) and participation in corresponding working groups partnering with the group CDO team as well as divisional CDO and Data Architecture teams
Closely liaise with SMEs to support maintenance and enhancement of the enterprise-wide data model and ontology. Manage the banks inventory of data models and help prioritize the book of work for model creation and maintenance. Assist maintaining the authoritative overview of golden sources and help driving the bank-wide mapping of data entities to systems and capabilities. Support bank-wide business and technical lineage solutions and perform vertical traceability between conceptual models and their physical implementations
Collaborate with divisional architecture teams to help drive the ongoing adoption of data architecture standards and best practices. Consult and educate the divisional teams on topics like data modelling, data lineage, traceability between models and other data architecture topics in general to ensure alignment across the bank. Provide data architecture expertise to upcoming and running projects

Senior Data Mapping Technician Resume Examples & Samples

3-5 years' programming experience with VbScript required
Intermediate/advanced technical skills (programming logic/design and/or VbScript)
Intermediate/advanced Microsoft Office (specifically Excel and Access)
Employee Benefits industry knowledge required
Excellent customer service
Intermediate/advanced analytical skills
Strong organizational ability; including ability to prioritize tasks and handle multiple tasks simultaneously in a changing work environment
Excellent problem solving and analytical skills; proven ability to research, follow up and resolve complex issues or problems surfaced by the team

Senior Data Production Associate Resume Examples & Samples

Drive and contribute to the completion of regional and online production by deadline
Review and analyze differences in past and present ads; link, associate, and confirm new ad occurrences
Caption and digitize movie ads; follow methodology to create new movie ads, and communicate openly with the client service movie team
Create and process online ads, plus map and publish online shows
Respond to assigned client service inquiries quickly and completely
Accurately create new ads and apply ad methodology to classify ads by type
Support the Team Leader
Deep understanding of Data Production methodology
Strong computer skills--must be able to use Microsoft Office applications, as well as have the ability to master new software quickly
Able to multi-task among various software platforms
Strong attention to detail and written communication skills required
Established reliability and punctuality is critical
Possess excellent analytical skills
Be focused and detail-oriented
Must be able to troubleshoot complicated technical problems
Possess strong communication skills
LI-AS1

Senior Data Analyst, Bangalore Resume Examples & Samples

Deep understanding predictive modeling concepts like Correlation, Regression
Deep understanding on machine-learning approaches like Dimensionality Reduction methods, Multivariate regression, clustering, Neural networks, Time Series Analysis
Understanding on statistical modeling like Bayers, Hypothesis testing, random variables expectation etc
Good understanding on data preparation techniques
Strong programming skills and understanding on Hadoop MapReduce, or any big data frameworks is added advantage
Other programing skills on MATLAB, SAS and python is added advantage

Senior Data Scientists IN Resume Examples & Samples

Statistical model development and dashboard development
Analysis to identify and understand customer trends
Develop scorecards to generate performance metrics to measure results and identify highlights and gaps
Automotive engine service and maintenance terminology
Code automation
Gather business requirements
Programming skills
Analytical dataset creation

Senior Data Base Analyst Resume Examples & Samples

Administrative support of SQL Server versions 2005, 2008, 2012, 2014 and 2016 including: Database Engine, Integration Services (DTS, SSIS), Analysis Services (SSAS) and Reporting Services (SSRS)
Infrastructure support of SQL Server versions 2005, 2008, 2012, 2014 and 2016 including: server/instance installs (stand-alone and clustered), service-pack upgrades, hot fixes, client tool installs, readiness programs, new feature exploitation, research and development (as needed by Infrastructure manager)
Support of application and database upgrades from existing SQL versions to, SQL2012, SQL2014, SQL2016 and future supported releases
Pro-active and reactive performance analysis, monitoring, troubleshooting and resolution of issues
Migration of database objects from development through production following documented standards, policies and procedures (Change Management Process)
Monitoring and support of nightly production batch cycles
Organizing and monitoring personal workload and escalating to manager when issues arise
Regular review of database maintenance and performance improvement procedures
Ensuring the proper setup and validation of backup and restore processes
Participation in a rotational on-call schedule
Occasional participation in after-hours and weekend support of production implementations, infrastructure activities, and various disaster recovery exercises
Regular database capacity planning related to database growth and system utilization; trend analysis
Working closely with other team members, technical/team leads, management, specialized IT areas and application support teams to ensure consistent delivery and quality of database services
Helping define, document and implement consistent standards and procedures across the team
Support of PowerShell, T-SQL stored procedures and functions to support internal processes and improve system performance
Maintaining up-to-date documentation and procedures for all supported applications and environments
Managing medium to large projects and participating in a variety of projects through the entire project lifecycle
Maintaining 99.99% availability for all production environments
Assisting clients with various issues related to connectivity, permissions, access
Evaluation of functionality and features with newer versions of the SQL Server DBMS
Sharing ideas for process improvement and innovative solutions to known problems
BE / B Tech /MCA / M Tech / Proven administration/analyst skills preferably with a degree in Computer Science or related technology degree/diploma, or equivalent experience
3 to 5 years of SQL Server database administration experience handling medium to large databases
Experience with the Microsoft BI stack
Experience with on-call support and trouble-shooting
Strong T-SQL skills that include a thorough understanding of system tables, stored procedures, functions, triggers, and SQL tuning
SQL Server 2008, 2012, 2014 or 2016 certification (optional)
Hands-on experience with SQL Server installations and patching
Strong knowledge of SQL Server database tuning using Profiler, Index Tuning Wizard, Dynamic Management Views and Functions (DMVs), and other third-party tools
Strong knowledge of SQL Server Management Studio and Business Intelligence Development Studio
Strong knowledge of SQL Server database backup and recovery strategies
Strong knowledge of SQL Server replication, mirroring, log shipping, maintenance plans and DR recovery strategies
Experience with Sybase Power Designer
Experience with Redgate SQL Backup tools
Knowledge of data-mapping and logical and physical data modeling
Strong organizational skills with the ability to handle several tasks efficiently

Senior Data Operative Resume Examples & Samples

Design, implement and monitor all physical and virtual Linux systems, ensuring availability over a 24/7 x 365 day period for all business critical business applications
Design and develop hardware and system monitoring and reporting tools
Proactively advise senior management of any looming capacity management issues making mitigating recommendations accordingly
Ensure a refresh cycle is in place such that all hardware and operating systems are refreshed as per industry best practices and that operating systems are upgraded and patched and remain supported by vendors
Liaise closely with Applications Development and Support teams to identify any production bottlenecks or upgrades that will feed into the refresh cycle
Ensure Configuration Management documentation is kept up to date. Seek to employ most modern Configuration Management tools
Maintain users on all Unix systems ensuring Leavers, Joiners and Movers are processed correctly
Proactively monitor all hardware via CACTI, Nagios and other linux utilities for system performance, disk usage, disk performance, network performance, etc. Maintain /design/ develop Nagios Plugins and various reporting script
Experience or qualification in some of the following
Data Center Virtualization
Open Group Architecture Framework
Information Technology Infrastructure Framework (ITIL)
MCSE
CISCO routing and switching
Enterprise Storage Solutions
Linux OS Variants
Data Centre Management
Experience of managing medium to large scale Infrastructure Projects
Experience of managing teams and/or junior staff
Experience of supervising and implementing some of the following
Build of Linux or Windows servers
Administer/monitor/upgrade Linux or Windows operating systems
DOS batch scripting
Advanced Linux scripting language (bash and python)
Good working knowledge of
Knowledge of Oracle database structures and data manipulation, Knowledge of PL/SQL
Nagios, FTP, SFTP, Apache WebServer, CACTI, COSBatch scheduling software
Knowledge Knowledge of ASP (Application Service Provider) and development skills
Knowledge of TCP/IP and UDP data translations
Experience of ITIL Best Practice especially Incident and Change Management
Excellent communications skills, both verbal and written, with the ability to control communications flows
Numerate and analytical, possibly with a data processing background
Educated to degree level in a mathematical/Science discipline
Experience of database analysis/and or analysing large datasets, Developer Skills an advantage

Senior Data Standards Analyst Resume Examples & Samples

Develop, implement and maintain end-to-end data standards from data collection to regulatory submission
Responsible for compliance with applicable Corporate and Divisional Policies and procedures
Accountable for ensuring submission data sets conform to the data standards expected by regulatory agencies, including traceability from data collection to submission data sets

Senior Data Analyst Lead Resume Examples & Samples

Collaborate on data activities for a Facets Application Group (e.g., Plan/Product, Provider, Subscriber/Family, Accounting, Finance, Claims and Utilization Management)
5+ years of experience in any of the following areas
Bachelor's Degree in a business systems or computer-related field
Experience working with data from ingestion to visualization
Experience with healthcare systems
Facets (tool used for claim processing, member eligibility and payment system) or experience with any other systems within a health plan that are similar

AVP, Senior Data Analyst Resume Examples & Samples

Role is expanding to include models used to estimate Economic Capital, Stress testing, Market risk, Capital management and AML as well as the underlying risk drivers
Minimum of five years proven and progressive credit and financial services experience or equivalent, including experience in advanced economic or regulatory credit risk management, credit risk modeling or wholesale lending, ICAAP, EWST, economic capital, credit audit, credit analysis or equivalent
Knowledge of AML framework and process would be a plus
Solid understanding of commercial and retail credit processes, including credit risk assessment and systems as well as econometrics, statistics, simulations and credit products
Knowledge of complex financial risk modeling and analysis, including credit risk and economic capital

Senior Data Analyst, Mobile Resume Examples & Samples

Provides budget, forecast, and variance analysis and related reports as needed
Conducts financial research, analyzes financial performance against objectives, and determines emerging financial trends
Provides rationale behind reports and analysis and relays them in simple terms
Creates, supervises, and maintains statistical/financial databases and reports. Runs appropriate weekly, monthly, and annual reports
Available for mentoring and guiding junior Financial Analysts
Performs additional Business Operations duties and tasks as required

Senior Data Co-ordinator Resume Examples & Samples

The maintenance of timely and accurate critical data, working within established deadlines
Assist in the develop process and procedures required to gather the data to create new products and materials in the SAP system
To perform data integrity checks as required
02nd March 2017

Senior Data Analyst / Signal Processing Resume Examples & Samples

You design and implement innovative technologies and algorithms from an idea to a software system
You analyze and identify new data related to business opportunities in the manufacturing area (Internet of Things)
You develop complex algorithms utilizing modern approaches from the domains of signal processing, statistics and advanced data analytics in general
You interpret and analyze data from complex technical systems
You identify new technological advances and develop own invention disclosures
You coordinate and execute (sub) projects
You simulate and modulate technical systems
You hold a university degree (PhD degree is a strong plus) in computer science, mathematics, physics, or engineering sciences (thesis in the field of Signal Processing is a plus)
You have long-term experience with technologies, algorithms and methodologies in the areas of Signal Processing, statistics and technical Data Analytics (publication record is a plus)
You have knowledge of and experience with modern analytical and simulation frameworks incl. Matlab
You 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 in machine engineering / control systems is a plus

Senior Data & Tagging Analyst Resume Examples & Samples

Translate business needs into data requirements and data structures in support of reporting, ad hoc queries, and analytics
Understand business objectives, data questions, and site-tagging problems to ensure accuracy of data
Partner with Product Management and Digital IT to ensure that all enhancements deployed to the digital platforms are properly tagged, perform acceptance testing for analytics tags and troubleshooting of tracking issues
Manage outside vendors to provide tagging troubleshooting, analytical consulting, web analytics and tag management support, browse data quality, online testing, and data governance
Work closely with Reporting & Analytics as well as Consumer Insights to identify opportunities for analysis and optimization
Maintain a consistent process to ensure high data quality that supports tight production cycles in an agile environment
Provide tagging expertise and advise for A/B testing as well as answer tagging and data-related questions from developers
Serve as liaison to technology staff and partners, with respect to improving the efficiency of implementations, usage and performance
Analyze and interpret business requirements and provide technical guidance and advice to Product Development teams, particularly with respect to performance and accessibility
Monitor application performance for web and mobile apps on a daily basis and establish automated performance monitoring tools and processes
Liaise with Product Owner and business teams to understand requirements and provide direction on tag implementation, optimized application performance
Help ensure quality, eliminate defects, and maintain velocity

Senior Data &amp Resume Examples & Samples

Creating forecasting models using multiple databases to interpret results and provide insights from their data mining
Develop and implement data collection systems and strategies that optimize efficiency and data quality
Acquire data from primary or secondary data sources and maintain consolidation processes
5 to 8 Years of Data and Business Analysis required
Ability to work across cultures and functions
Proficiency in Oracle SQL and Cognos (SAS preferred)
Technical expertise working with data models, database design development, data mining and segmentation techniques
Knowledge of statistics and experience using statistical packages for analyzing large datasets (Prefer proficiency in SAS)

Senior Data Production Associate Resume Examples & Samples

Associate and confirm regional ad occurrences
Identify and pursue opportunities to improve process efficiency and quality across the floor
Perform UAT testing on DMS upgrades and fixes
Lead workshops and assist with training

Frtb Senior Data Stream Manager Resume Examples & Samples

Managing a diverse range of stakeholders to meet program requirements and project objectives
Developing project definition and scope and success factors
Working with business partners in the delivery of well-defined and well-understood data/business requirements
Acting or identifying appropriate Subject Matter Experts to promote end-to-end perspective supporting the FRTB Program
Leading Stream Manager and Specialists (and potentially junior stream resources) in executing on program mandate

Assistant VP-senior Data Analyst Resume Examples & Samples

Project Management and interaction with regions
Internal and Industry Benchmarking
Critical analytical support for major real estate decisions
Senior management monthly reporting and review sessions
Must have high attention to detail and presentation skills
Ability to work under pressure with tight deadlines and still provide accurate results
Streamline current reporting to produce quicker results with the same level of accuracy. This can be done via Excel macros and/or interaction with GFTS Participation in the creation of the CRS Operating Budget Qualifications with tight deadlines and still provide accurate results
Advanced skill in MS Excel and PowerPoint
Advanced interpersonal skills to communicate with regional teams
Bachelors' Degree or equivalent experience
Experience in real estate industry is preferred (not required)
Process and program management skills
Strong communications skills to support global initiatives

Temporary Senior Data Analyst Resume Examples & Samples

Understands flow of data internally and in relation to the General Ledger
Works with IT Business Intelligence team to design, test and deploy MRE reports for general usage
Provides support to management to produce reports and analyze large amounts of data as part of acquisitions or other special projects
Five (5) years Accounting/Finance/Business reporting and analysis experience
Experience working with Accounting/Finance/Business end users
Knowledge of JDE and other data analysis and financial software and tools
Understand and write reports using various software and tools
Ability to manage multiple projects and priorities

Senior Data Team Lead-real World Evidence Solutions Resume Examples & Samples

Previous experience and proven competence in managing delivery of multiple global trials through full DM life-cycle (i.e. large trials of at least 1000 patients)
Demonstrated expert data management skills and advanced knowledge of the data management process (e.g., therapeutic area, extensive knowledge in DM processes, SAE reconciliation, external data vendor reconciliation, management of local laboratory data, and/or new technology)
Previous experience and proven competence in handling complex customer negotiations and bid defense meetings independently
Excellent communication, interpersonal, customer service, and teamwork skills

Senior Data Analyst, Root Cause Resume Examples & Samples

Manage and control Data Analysts’ systems access
Articulate problems to wider stakeholder group for participation and buy-in
Deliver high quality, clear and accurate current state data analysis within agreed timescales, and participate in project working groups
Identify the root cause of the problem with consideration of key data elements, golden sources of data, business outcomes, processes and systems
Summarise and present analysis output, providing options, recommendations and benefits where appropriate

Analista Senior Data Management Resume Examples & Samples

University career completed (Bachelor) or about to be completed (Business Administration, Accounting, Computer Information Systems)
Intermediate-Advanced English level. Portuguese is a plus
MS Office- Intermediate-advanced excel
Process improvement attitude and evidence (ADP potential)
Good communication, customer service, leadership and people management skills
4 years experience in the Distribution / Finance cycle with proven high exposure to JDE or SAP master data maintenance

Giiac Senior Data Analyst Resume Examples & Samples

Design, develop, and test BI solutions such as databases, queries, views/dashboards, and reports
Work with project managers, architects, and other team members to define metrics, performance goals, and data controls
Work closely with an internal team of engineers, architects and leaders to design, build and implement next-generation solutions in advanced analytics, big data, BI and the cloud
Analyze upstream data sources and work closely with business analysts and technical leads to produce source-to-target data mappings and specifications
Assist in translating requirements and use cases into test conditions and expected results for product performance, user acceptance, and operational acceptance testing metrics
Able to initiate process improvements with automation to increase efficiencies
Define and implement actionable metrics, key performance indicators (KPIs), and data visualizations to support reporting needs
5+ Years of experience with systems data analytics
Critical to have exceptional communication skills and the ability to make complex concepts easily understandable
Expertise in dashboard and data visualization creation, best practices and design principles
Solid knowledge of data warehousing concepts and processes and BI solutions
Experience with Tableau or other business intelligence reporting tools for creation of effective dashboards and reports
Advanced knowledge of database query tools and strong SQL skills
Advanced knowledge of data mapping and the design of extraction, transformation and load (ETL) processes
Advanced knowledge and demonstrated experience in full life-cycle Systems Data analytics, tuning, and support
Ability to rapidly adjust to changing demands and priorities
Excellent written and oral communication skills; ability to interact with business and technical team members
Hands on knowledge of modern data architectures and tools such as data warehousing, ETL/ELT, NoSQL, analytics or cloud platforms
IT/System administration
HPC experience

Senior Data Analyst / Performance Manager Resume Examples & Samples

Lead the creative, and strategically minded analysis of large sets of data; extract actionable insights to inform aero systems design
Lead design and implementation of DDP systems
Drive collection of new data and advise on relevant technologies/methods of big-data analysis
Work closely with colleagues in Operations to provide required data and insights to help diagnose problems and improve overall quality of aviation products and services
Communicate data-driven insights and trends to key stakeholders
Lead a junior analyst to develop skills in all of the above
Minimum 7 years’ corporate experience in data analysis
Experience leading the function, and implementing relevant technologies
Significant experience using Linux systems
Proficient in query, object-oriented and scripting programming languages
Experience with RDMBS, Postgres
Proficient in Datawarehousing and Big data solutions
Web development skills: html/javascript/php
Demonstrated ability to be the technical lead on complex projects within own domain

Senior Data Analyst, Salesforce.org Resume Examples & Samples

Design and maintain key performance dashboards through automation
Lead ongoing analysis of business performance
Support Salesforce CRM data enrichment, de-dupe, reconciliations operations
Assist in developing ad-hoc data analysis to present to Sales Strategy and COO group
Work cross-functionally to improve data quality through governance processes
Be a leader in creating a data driven culture of decision making with stakeholders

Senior Data Analyst, Product Resume Examples & Samples

SQL and working knowledge of relational databases
Visualization tools (Tableau, Looker, MicroStrategy, etc.) and/or custom visualization scripting (D3, Highcharts, R Shiny, etc.)
A scripting language (Python, Ruby, etc.)
Working knowledge of statistics and stats packages like R or Matlab
A/B testing experience and the ability to quantify results
Experience with ETL best practices and data modeling
Self-starter able to make an impact with little guidance

Senior Data Business Systems Analyst Resume Examples & Samples

Highlight/identify gaps in existing functionality and review requirements with stakeholders
Ensure detailed designs match high level designs and are traceable to requirements documented in a detailed specification and data map including preparation of process maps and logical data models
Perform analysis to document as-is state process, to-be state process, and the data required to traverse the gap
Participate in transitioning the requirements and use cases to the Data Architects and ETL Developers, and ensure a clear and complete understanding of the requirements to meet the business
Create designs in accordance with the architectural roadmap and support the development, execution and testing deliverables
Articulate design decisions and ensure required artifacts are completed
Provide advice and conduct reviews during development lifecycle
Partner with data architects to identify and define enterprise data needs and components required to support business solution development
5+ years of experience in data analysis and mapping
Experience analyzing and breaking down problems and information using structured frameworks and methodologies
Bachelor’s degree in Business Administration, Computer Science or related field

Senior Data Migration Developer Resume Examples & Samples

Meets with users to understand the data that is required for reporting requirements
Gathers and stores data in relational data-models from various data-sources
Curates the data from different sources to make it usable
Builds table joins and custom calculations in the data model based on user requirements
Defines and maintains data lineage
Extracts data from disparate technologies like SAP BI , SAP HANA, Oracle , SQL, PeopleSoft ,GIS systems
Defines data conversion routines based on reporting requirements
Manages and manipulates large amounts of data and its related performance tuning methodologies
Works with business users to build their reports and dashboards based on the data required
Participate and lead research and development efforts (proofs of concept, prototypes), as subject matter experts, when introducing new technologies
Serves as technical owner and point of contact for data ETL (Extraction , Transformation, Loading)
Bachelor's degree in Statistics, Mathematics, Computer Science, Information Systems, or related field
5+ years of experience in information technology, business analytics, or data management, inclusive of 3+ years of experience extracting data using SQL and ETL technology like Dataservices & Informatica
Deep understanding of information models and information architectures
Experience with Reporting Technology like Business Objects
Experience with connecting to wide variety of source systems like SQl, Oracle, DB2 and SAP
Demonstrated track record of designing and producing meaningful, effective data conversions
Demonstrated ability to work in a highly collaborative approach with diverse business users and manage multiple competing priorities and assignments
Proven ability to work effectively as a member of various teams in a matrixed environment, which may include company personnel, project resources and third-party/outsourced vendors
Strong and current technical background on modern BI and reporting technologies
Experience in end to end life cycle implementation – User information gathering to datamodel deployment
Must have experience with data testing, report writing and data management
Must have experience with requirements gathering and documentation processes
Familiarity with AGILE/Scrum development preferred
Ability to prioritize, meet deadlines, and manage multiple projects
Fast leaner and open to learning new ETL and Reporting technologies
Utility and SAP BI on HANA experience is a plus
Demonstrated ability to communicate and understand business users
Deep analytical experience and understanding of data processes

Senior Data Analyst, New IP Resume Examples & Samples

Enjoys playing massively multiplayer mobile strategy games (preferred)
Good understanding of statistical analysis, and preferred experience with statistical packages such as R, MATLAB, SPSS, SAS, Stata, etc
5+ years experience performing quantitative analysis, preferably for an internet or technology company
Experience in using tools like Tableau and Looker for creating dashboards, reports and data exploration (strongly preferred)
Proven ability to work in a fast-paced environment, and to meet changing deadlines and priorities on multiple simultaneous projects
B.S. or B.A. in Math, Statistics, Comp Sci, Engineering, or other technical field required; advanced degrees strongly preferred

Technical Senior / Data Analyst Resume Examples & Samples

3+ years of experience in building statistical models and custom project
Post-secondary degree in Mathematics, Statistics, Applied Sciences or related field
Demonstrated business acumen
Detail oriented with excellent analytical and problem-solving skills
Must be able to effectively manage time and a variety of responsibilities
High proficiency in MS Office required
Other programming skills a definite asset (ex: visual basic, C, Java, etc…)
SAS experience an asset
Ability to use SAS or other programming tools to develop and solve highly customizable project work

Senior Data Remediation Analyst Resume Examples & Samples

Senior professional within Data Remediation function responsible for coaching and mentoring
Data Remediation Analysts as well as data remediation activities across multiple and complex data domains
Leads triage and prioritization of data issues
Facilitates issues remediation planning and implementation
Facilitates Data Remediation initiatives across SHUSA
Assists with the preparation of the Data Remediation Council agendas, materials, and meeting minutes
Adhere to Corporate risk managment objectives
Education University Degree or equivalent experience
Business Experience (prior years work/related experience) minimum 9 years of prior relevant experience
Coaches, reviews and delegates work to lower level professionals
May oversee a small team as a Team Leader (informal)
Recognized subject matter expert
Manages large product areas, projects or processes
Manages large accounts and assesses customer needs in order to recommend customized products/services
Limited oversight from manager
Significantly improves existing processes and practices using conceptual thinking, reasoning and interpretation
Influences others at an operational level regarding new concepts, practices and approaches
Represents organization as a primary contact for specific projects and initiatives

Senior Data Center Tech Resume Examples & Samples

Researches, recommends, and implements small and large department projects
Responds to and resolves internal customer maintenance, repair, and expansion requests
Provides data center security support
Advanced knowledge of high voltage filtered systems including UPS, PDU, transformers, and generators
Advanced knowledge of CRAC/HVAC systems
Working knowledge of cabling including fiber, copper, and power
Excellent collaboration skills to effectively partner with business clients, other IT staff, and vendors

Senior Data & Insight Analyst Resume Examples & Samples

Architect and hands-on development of complex Analytics and Reporting solutions
Implementing and configuring reporting technologies like Tableau or Microstrategy
Proficient with SQL for databases like Oracle, PostgreSQL, and MySQL
Architect, design, build and integrate solutions using Hadoop and other big data tools such as: Scala/Spark, R, Pig, etc. This also includes redesigning existing reports for enhanced utility and usability
Deliver targeted outcomes using an Agile development process
Supports development of other analysts on the team by sharing and training on best practices
Consulting skills strong enough to work with clients on their analytic needs
5+ years’ experience in advanced analytics
5+ years’ experience delivering actionable insights from data
5+ years’ experience in typical and big data analytics environments
2+ years’ experience with business intelligence (data visualization and dashboarding, Tableau, etc)
2+ years’ experience with multiple scripting languages (Scala, R, Python, etc.)
Experience with SQL syntax for multiple databases (e.g., standard SQL, Oracle, MySQL, PostgreSQL)
Experience mentoring junior analysts
Out of the box thinking and creativity are essential
Must be able to sit and use a computer keyboard for extended periods of time
Must have flexibility and willingness to participate in the work processes of an international organization, including conference calls scheduled to accommodate global time zones

Senior Data Base Administrator Resume Examples & Samples

Hands on experience designing Oracle relational databases
Strong experience with data modeling complex databases
Experience writing Oracle DDL
Expert knowledge of SQL & SQL tuning
Solid understanding of tuning, views, partitioning and indexes
Strong understanding of Data Architecture and design principals
Experience working as a Design DBA in in Agile work streams
Thorough understanding of leading modeling principles and patterns
In-depth knowledge of data architecture principles (e.g. Data Modelling, Data Security, Metadata, Data Retention)
Experience working with business and IT architects in requirements analysis, and modeling tools
Ability to work in a dynamic team environment and interact with resources from technical and non-technical organizations
Good communication and interpersonal skills for interacting and collaborating with developers, analysts, and business staff throughout the organization
Demonstrated capability developing, maintaining, promoting enterprise data architecture
Capability to provide thought leadership and abstract thinking
Knowledge of The Open Group Architecture Framework (TOGAF)
Data Management Professional (CDMP) Certification

Senior.data Analyst Resume Examples & Samples

Experience working independently with minimal supervision and guidance
Proficiency in word processing, spreadsheet, and presentation creation tools, as well as Internet research tools
Experience working directly with business users to gather requirements
Must be able to obtain and maintain required clearance for this role

Senior Data Analyst, Panel Sciences Resume Examples & Samples

Support the comScore teams by providing in-depth knowledge of the weights process and field questions that arise about methodology or data
Investigate potential data issues found in comScores syndicated reports and work efficiently with other internal departments to get problems resolved, propose solutions and implement future safeguards
Develop and implement new or improved processes for sample selection and projection
Will have a good understanding of the market, methodology, and technology that make up each of the products in the product suite
You’ll be an internal expert on how we present projections and weights to clients
Proficiency in BASE SAS, specifically in the SAS macro environment. Reading and de-bugging SAS is more critical to us than pure coding in SAS
SQL query experience and proficiency with numbers/statistics
You should be well-versed in writing queries, joins, select statements and stored procedure development
Bachelors degree in a quantitative subject such as Statistics, Mathematics, Economics, etc.3 - 5 years professional experience, preferably in a data analysis role
Python experience preferred

Senior Data Modeller Resume Examples & Samples

Data Quality Rules and Expressions
Strong Data-typing and Identifier Management
Data Formats and both forward and reverse Engineering
Version and Change Management methods and controls
Data Registration and Data Lakes
Data entities, properties and associations typical of an Corporate Banking organization
Application of Data Standards such as ISO 11179, OMG MOF/UML/CWM
Demonstrate an awareness of the data lineage supported by the various levels of data model, in support of the data lifecycle
Data Modelling tools such as Magic Draw, Erwin, Power Designer, XML Spy
Data communication languages such as XMI, XML (including @Annotations), JSON, Profobuf, CSV, COBOL Copybooks, RDF, etc…

Senior Data Migration Analyst Resume Examples & Samples

Develop data migration strategy for conversion of financial management and procurement data from legacy systems into Momentum
Perform data mapping of source to target data sets
Disseminate information across the team, and keep up to date with functional improvements of solution
Develop data migration test plans
Bachelor's Degree and at least 7 years of experience with data migrations and implementations
The data conversion analyst have experience updating and streamlining PL/SQL for data conversion, executing and interpret SQL explain plans, managing Oracle 12c database environments, building and executing scripts via automation tools (such as Control-M, Redwood), knowledge of Momentum database structure and conversion execution paths, and experience performing large data conversion in ERP environment (legacy-to-ERP, ERP-to-ERP)
Demonstrated experience leading teams to deliver desired outcomes
Must be able to work full time on client site in DC
Due to the nature of this contract, US Citizenship is required
Must be able to obtain and maintain a security clearance (Public Trust) to start employment

Senior Data Insight Analyst Resume Examples & Samples

Generating queries for data from multiple complex relational databases and other data sources to support internal team(s) on data requests and data interpretation
Identifying and facilitating prevention of fraud schemes or scenarios
Developing models that depict or describe historical events and build predictive models for anti-fraud efforts
Supporting and collaborating with team members to ensure the most current fraud trends and fraud risks are considered
Analyzing current performance for fraud alerting strategies, optimizing alert strategies and recommending new or additional actions
Communicating regularly with the SCO leadership team and with key stakeholders and partners in order to complete requests or analysis
Communicating effectively and efficiently to large audiences and senior leaders
Proactively identifying trends or developments that could materially impact business goals and targets
Bachelor’s Degree in a related discipline with 10 years' professional experience in fraud analysis, audit, or complex data analysis
3 years of experience in fraud detection or risk assessment
Proficiency in data mining and Pattern Recognition in Large Datasets
Extensive process analysis, evaluation and re-engineering
Strong analytical, communication, and problem solving skills
Proficiency using MS Suite Tools including Word, Excel and PowerPoint
Ability to work effectively with both business and technical stakeholders
Ability to program customized queries to successfully complete tasks
Demonstrated ability of working with multiple levels of management and effectively communicating statistical information to all levels of the organization
Experience implementing advanced strategies for gathering, reviewing and analyzingdata requirements
Ability to prioritize requirements and create conceptual mock-ups
Apply best practices for effectivecommunications and problem-solving
Must be a good oral and written communicator with all levels of management
Must show commitment to results, leadership, teamwork, process improvement and strong interpersonal skills
Ability to package and present analytical findings in an insightful and intuitive manner which explains clearly the direction and recommendation of the information
Experience in Shared Services organizations
Knowledge and experience with ERP (SAP, PeopleSoft, Oracle), Case Management (VSM, ITSM) and SharePoint / MS
Familiarity with IDEA
Six Sigma certification inclusive of Lean, DMAIC andKaizen methodologies
Knowledge of the Quality System ISO 9001
Experience presenting concepts and findings to all levels of leadership
Self-motivated, team player who works well with all people

Senior Data Transformation Specialist Resume Examples & Samples

A sound understanding of classifications of subsystems and specifications related Military equipment
Conversant in MS Excel and MS Word
Ability to sift through large amount of data and parse information
Excellent attention to detail and a logical approach to problem solving
Experience of working within a data environment (databases, data transformation, information sciences or similar)
Categorization/classification experience
Personnel from armed forces background preferred

Senior Data Analyst Insights Resume Examples & Samples

You will work as Senior member of the team running advanced analysis and working on complex data projects
You will understand the levers / drivers that influence loyalty behaviour and redemption patterns
You will analyse the impact from marketing channel, regional and point of sale mix
You will analyse the loyalty operational activity, promotional campaigns and multivariate website tests
Developing and improving key inputs into forecast cycle and understanding potential financial impact on forecast are important part of your role
You will analyse the impact to customer redemption behaviour and cost per point
We work closely with Loyalty and Analytics teams, communicating findings, keep informed, help drive optimal investment decisions and explain drivers of variance to forecast
BSc Degree in quantitative field such as Actuarial Science, Accountancy/Finance, Statistics, Data Science, Mathematics or Economics
Excellent experience of using SQL, Python or R. You are a wizard in structuring, transforming and visualizing big data
Knowledge of business analytics tools such as Tableau, Power BI
Willingness to learn new frameworks and languages required for the task
Hands-on experience with modelling, analysis, forecasting and presentation via advanced Microsoft Excel and PowerPoint
The ability to handle multiple projects at a time and adhere to deadlines
Focus, resilience and great at problem solving. Able to easily continue to find solutions and work towards goals when setbacks/ hurdles occur
LI-LC2
HJI123

Senior Data Modeling Analyst Resume Examples & Samples

Collaborate with team members and business partners to determine problem definition and requirements, manage expectations, and meet timelines
Propose innovative ways to look at problems using machine learning & data mining
Use appropriate sampling, data preparation, analytic and statistical methodology to develop predictive models; combine this with business strategy skills to develop solutions that leverage datasets of any quantity, shape or size
Discover insights and opportunities using statistical, data mining and visualization techniques
Document, summarize and communicate findings, verbally and visually, in a way that is easily understood by internal business partners
Seek out new data sources that fill gaps and improve models
Help source, clean and verify integrity of data used for analysis
Support business needs around analytics, predictive modeling and business intelligence
Cross-train with team members on software skills, data sources and other work aspects
Undergraduate degree in Business, Technology, Finance, Engineering, Economics, Mathematics, Statistics, Computer Science, or related field or equivalent experience
SQL Proficiency
2+ years of experience validating data and interpreting results of analysis
2+ years of experience identifying variances/trends/root cause and providing solutions
Demonstrated Machine Learning or Predictive Analytics or statistical analysis such as
Regression, Classification, Clustering, Matrix Factorization, Decision trees, Support Vector Machines, or Neural Networks/ Deep Learning
Advanced degree in quantitative field
5+ years’ experience in relational database modeling and concepts
Experience working with analytic tools such as SAS Enterprise Miner, SPSS, R Studio, Angoss Knowledge Studio, or others
Excellent understanding of machine learning techniques and algorithms, such as k - NN, Naive Bayes, SVM, Decision Forests, etc
Proficiency in Microsoft Office (Excel, PowerPoint, etc.)
Experience with visualization tools such as Tableau
Experience with healthcare data or industry; familiarity with UnitedHealth Group platforms
Strong business acumen and professional communication skills (written & oral)
Solid analytical and problem solving skills (critical thinker); self-motivated and organized
Health care industry experience

Senior Data Visualisation Resume Examples & Samples

Follow Software Engineering best practices instinctively, with security and quality built into all software from the ground up
Be a self-starter who can work collaboratively in a small Agile team, part of a larger global team, sharing ideas to solve some of the most complex and challenging business problems in the industry
Strong Data Visualization/BI skills – ideally with Tableau
Accomplished Data Analysis skills
Practical experience in BI performance tuning
Strong analytical and communication skills both written and verbal
Some big data skills – Spark, Hadoop, Impala, Kafka
Strong application design skills
Familiarity with lambda architectures
Familiar with continuous integration and deployment tools such as Jenkins, Git/Stash, SVN/Crucible/Jira, etc

Senior Data Analyst, Visualization, Mobile Resume Examples & Samples

Conducting interviews at all levels of the organization to identify project requirements
Writing Requirements and Specification documents based on client interviews
Creating Use Case documents to aid in requirement refinement discussions
Design GUI, Screen and Interface diagrams
Working independently with others while engaging in multiple initiatives simultaneously
Resolving business process conflicts as they relate to project specifications
Serving as the conduit between the business community and the software development team
Analyzes and revises existing system logic difficulties and documentation as necessary. Works with Software Developers to support design and development as required. Performs analysis of user needs, documentation of requirements, and translation into proper system requirement specifications
Identifies and assesses probable interactions of related systems and predicts impact of a change in assigned system
May review proposals, including gathering facts, analyzing data, and preparing project overview which compares alternatives in terms of cost, time, availability of equipment and personnel, etc. Recommends course of action
Maintains a strong working knowledge of system interaction to ensure success in overall architectural solution
Functions as a liaison between the client, community, and internal Software Engineers and/or external software vendors to develop system solutions to processing systems or business problems
Ensures data quality and integrity across data-specific application implementations
Supports the testing team and business users in validating that the programs meet the requirements. Participates in unit, integration, and test procedures. Compares test results against requirements to validate that coding is accurate
Other duties and responsibilties as assigned
Tableau,SQL, and/or Excelfluency

Senior Data Intelligence Analyst Resume Examples & Samples

Experience using web analytics tools such as Google Analytics
Knowledge of various data visualisation tools
Understanding of Paid, Owned and Earned media with a knowledge of other digital/marketing fields e.g. SEO, PPC, CRO, Programmatic
Knowledge of how ad serving and web analytics tools work
Understanding of attribution modelling and the different methods available

Senior Data Analytical Engineer Resume Examples & Samples

Designs and codes software components, units, and modules that meet product specifications and development schedules
Performs systems modeling, simulation, and analysis
Tests and debugs assigned components and units
Participates in large system and subsystem planning
Collaborates with hardware engineers on machine characteristics that affect software systems and works with them to resolve incompatibilities
Troubleshoots problems and provides customer support for software operating systems and application issues
Advises hardware engineers on machine characteristics that affect software systems, such as storage capacity, processing speed, and input/output requirements
Maintains current knowledge of relevant technology as assigned
5-8 years of related software development experience

Senior Data Modeller Resume Examples & Samples

Develop the Project data models and where required oversee data modelling being done within projects, support the data modelling practice in PCB Technology
Drive forward the harvesting, integration, maintenance and utilisation of PCB Technology enterprise schema (data models and dictionaries), in conjunction with other member of the Data services function and the central Data Architecture team
Strong analytical skills to understand business processes, systems and data
Problem solving and data analysis skills
Strong practical experience with data models, data flow diagrams, capturing and using meta-data, metadata modelling, relational databases and bridge forward/ bridge back data techniques

Senior Data Analyst, Tableau Resume Examples & Samples

Minimum 7 years of progressively responsible experience in consulting and/or directly relevant industry experience
Ability to organize and integrate data to conduct various analysis on a recurring and ad-hoc basis
Strong written and verbal skills demonstrated experience of creating and giving presentations to client leadership
Experience working in a dynamic and collaborative environment
Experience interpreting data, analyzing results using statistical techniques and providing ongoing reports
Past experience as a data analyst or business data analyst
Possess organizational skills to schedule meetings, manage minutes, and perform required administrative functions
Experience with Tableau preferred

Senior Data Analyst, WW SDM Resume Examples & Samples

5 - 10 years relevant experience
Experience presenting and sharing insights with various business functions
Expert SAP BOBJ
Experience with ETL tools used to automate manual processes (Talend)
Strong work ethic and passion to go beyond what is expected

Meritain Senior Data Analyst Resume Examples & Samples

5-7 years of demonstrated leadership
5-7 years of project/program/process management experience
5-7 years of data interpretation and analysis experience

Senior Data Review Specialist Resume Examples & Samples

Ensure that the client receives quality reports that meet their expectations by reviewing laboratory data for accuracy, clarity, consistency, and adherence to client requirements
Data review, protein chemistry, analytical chemistry, pharmaceutical industry experience
Bachelor's degree in biochemistry, chemistry, or other related degree concentration, or equivalent directly-related experience (two years of directly related industry experience is equivalent to one full-time year of college in related major)

Senior Data Recovery Engineer Resume Examples & Samples

Bachelors Degree and/or 5+ years Data Recovery experience
Experience with modern programming languages concepts and how they work
Experience in Real-time, operating system and microcontrollers software design concepts and architecture of the products; Electronic components soldering skills are required
Strong knowledge of electrical engineering design concepts
Solid working knowledge of hard drive engineering
Strong critical thinking, scientific methodology, and analytical skills
Strong knowledge of MS DOS, MS Windows, Apple Mac OS, UNIX, programming, scripting skills
Knowledge of firmware architecture and reverse engineering for storage industry is required
Hands on experience disassembling various computer and peripherals hardware

Senior Data Mapper Resume Examples & Samples

Data Subject Matter Expert: 5 - 7 years in data management role interacting directly with both technical and business line clients in data problem solving role
Using of SQL tools in profiling field contents large database or interlinked data tables
Regular interaction with business line administration collegues at all levels in the organization
Clear and concise communicator both in written and verbal communication
Demonstrate ability to critically think through solutions to complex, multi-faceted business problems to arrive at satisfactory options
Proven self-starter that can be relied on to successfully complete the tasks assigned to them within reasonable time frames
Ability to lead other co-workers in ways that build their skills and ensure they recognize precisely what is required of them
Thorough and timely in preparing and maintaining required project related documentation

100

Senior Data Modeller Resume Examples & Samples

Definition & assurance of the standards, methods, & best-practise for modelling & metadata to be used across the function
Delivery of conceptual & logical models, and oversight and leadership for all physical modelling, along with a metadata repository (and associated governing processes) that catalogue information assets delivered-by or used-by the R&A CoE functions
Tertiary qualified with significant experience (e.g. 5+ years) in Analytics, DW & BI
Able to manage priorities and conflicting issues in a professional/risk based manner
Ability to build and maintain relationships with internal and external stakeholders and influence/negotiate change in a complex domain
Excellent communication skills – oral, written and presentation
Strong consultative and planning/strategy skills. Ability to work independently as well as with a globally dispersed team
Significant experience (e.g. 5+ years) in information architecture and data modelling. Exposure to various tools like Erwin Data Modeller, IBM Information Data Architect, IBM Business Glossary
Ideally with industry model exposure
And strong exposure to multiple RDBMS (Teradata, Oracle, SQL Server)

101

Senior Data Modeling Analyst Resume Examples & Samples

Help define, create and maintain Data Management standards, guidelines and processes (e.g., Data Modeling Standards)
Work with business in defining reference data to support data models
Perform data discovery activities to understand existing 1st Party data, 2nd Party data, or acquired 3rd Party data
Document source to target rules for implementation by Data Engineers

102

Senior Data Exploitation Analyst Resume Examples & Samples

Perform analysis and evaluation of imagery collected from side scan sonar, bathometric, video, and still photography cameras
Use proprietary software including GIS-based systems in a network of workstations and personal computers (Windows) to perform basic imaging enhancement, display, and analytical functions to obtain, organize, and present information relevant to the exploitation of remotely sensed and imaged data obtained from deep ocean systems
Review mission related data logs, worksheets, and reports to determine focal points for the analysis as well as discovery of deficiencies and discrepancies in the performance of data collection equipment and systems
Some travel is required
Represent OTECH and our customer by interacting and participating in meetings, panels, and committees within Department of Defense, Department of the Navy, and Intelligence Community in the capital planning process
Production of various ad hoc documentation & deliverables
Maintain configuration control thereby ensuring precise data records
Minimum five (5) to ten (10) years of related experience
Must be able to prioritize tasks and work independently and in team settings
Ability to pass and maintain a maritime physical. Must take maritime safety training IAW the US coast guard guidelines and meet physical, dental, and regional immunization requirements
Bachelor’s degree in Oceanography, Underwater Archeology, or related field
Knowledge of products like SonarWiz, Hypack and WinFrog

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Risk Adjustment Senior Data Analyst Resume Examples & Samples

Validate RxHCC risk adjustment extract logic, which includes oversight of logic programmed within internal systems based on CMS rules and guidelines
Monitor CMS changes to the RxHCC risk adjustment process and calculate any corresponding impacts
Provides short range trouble shooting for day to day issues and ongoing maintenance with the RxHCC risk adjustment applications and reporting
Makes recommendations as needed to ensure reliability of the process and finds innovative solutions if problems should occur
Provides encounter data reconciliation between CMS and health plan claims detail to ensure accurate RxHCC risk adjustment payments
Ensures that the CMS return files received either directly from CMS or from the health plan or their intermediary are reconciled to the submitted files
Develops policies and procedures for system, application and related operational processes in order to ensure optimization and compliance with CMS RxHCC risk adjustment guidelines
Maintains RxHCC risk adjustment data base for complex analytics
Review the analysis and interpretation of others work
Develop ad-hoc and standard operational reports
Develop and implement effective/strategic business solutions through research and analysis of data and business processes
Document/Communicate root causes affecting performance as identified through analysis
Determine and track financial implications of initiatives
Document/communicate key milestones for effective strategy execution
3+ years of healthcare data analysis experience in a healthcare plan or environment, preferably in Medicare
At least an intermediate level of experience in SAS and/or SQL
Intermediate level or above in MS Excel
Ability to identify underlying causes and potential mitigation strategies for medical cost trends, based on broad knowledge of healthcare issues
Proven ability to use large data sets to produce high quality analysis and metrics
Proven ability to perform statistical analyses to independently identify root causes of medical cost trends
Risk adjustment experience
Knowledge of ETL (Extract, Transform, Load) processes

104

Senior Data Center Analyst Resume Examples & Samples

Coordinates vendors to schedule deployments, modifications and removal of equipment in the Data Centers
Collaborates with engineering teams to gather requirements necessary to successfully deploy, modify and remove equipment in the Data Centers
Collaborate with Project teams to gather requirements for new systems installations to efficiently deploy new systems in the Data Center
Coordinates the logistics of equipment delivery between data centers and inventory management
Work within the change management process to schedule maintenances within the Data Centers
Monitor and control daily service request activity, customer calls and service levels
Respond quickly and effectively to issues and take responsibility for guiding issues through to resolution
When appropriate, create knowledge based articles and documents for processes and procedures required to support the Data Center Infrastructure
Should be detail oriented and able to think independently; exhibit a high level of initiative and self-confidence, along with strong verbal and written communication skills; demonstrate excellent time management skills
Participate with team members and leadership to develop road maps and strategies for the Data Center Infrastructure
Establishes work priorities by considering importance and urgency. Plan for contingencies, anticipate future demands, commitments and directions
Perform physical hardware audits
Evaluate existing infrastructure components and tools for improvements
Bachelor/Associate Degree or Computer Related Degree from Technical College
Strong written, verbal and interpersonal skills
Computer literate with Microsoft Office, Excel, E-mail, Service Now, DCIM
Understands enterprise computing concepts, networking, OS terminology
Solid grasp of enterprise computer hardware components
Maintain knowledge levels as industry enhancements occur
Certifications: A+, Server+, Network+, Microsoft Certifications are a plus
Ability to perform tasks as assigned with minimal supervision

105

Gain Theory Senior Data Manager Resume Examples & Samples

BS in Computer Science, Mathematics, Business, Statistics or related technical field required
5-7+ years related work experience in data management and analysis. Specific experience with data management for attribution modeling, media mix modeling, or predictive sales modeling is a plus
Strong analytical skills; ability to analyze raw data, draw conclusions, and develop actionable recommendations
Organized, detail-oriented, QA-focused
Experience with the full development life cycle of an analytical application stack – from raw data ingestion through to analytical outputs
Knowledge of SQL and experience working with at least one of the major databases platforms (SQLServer, Oracle, DB2, MySQL, Sybase, or Postgres)
Deeper experience with MS SQL Server / SSIS / SSAS strongly preferred
Understanding of digital/media/marketing data sources and metrics preferred: Digital (e.g. Web, Social, Display, Search etc.); Media (e.g. buying models, CPU, Impressions, GRP); Measurement analytics, Quantitative business measures (Adstock, ROI, Churn, etc.); Statistics (Correlations, sample sizing, etc.)
Experience with visualization techniques for data analysis and presentation (Tableau is preferred)
Experience in working with, managing and mentoring teams preferred
Experience in machine learning techniques is a plus
Experience with web/application development is a plus
General knowledge of standard modeling techniques: regression, decision trees, clustering, and Bayesian techniques is a plus
Process-driven project management a plus

106

Senior Data Analyst With Teradata Resume Examples & Samples

Collaboration with BA/SA/Architect as well as Project Manager and business users
Performing complex data analysis on large data sets
Building up and maintaining various reports
Documenting reporting solutions
Experience with Teradata DWH not less then 5 years
Good SQL knowledge
Expertise in data analysis and business intelligence
Good knowledge of Sematic Layers from Stage, Core, SBSL to GCCT
Data mapping and Data modelling experience is a plus
Readiness to business travels
Ability to drive own commitment and manage upcoming issues

107

Senior Data Analytic Engineer Resume Examples & Samples

Strong programming skills and experience in Java(Spring,Struts, MyBatis)/ Javascript, Python is optional
Passion for coding and building internal tools for operations, data center and network applications
Good knowledge of SaaS development and high availability design
Excellent analytical and problem solving skills, and desire to learn new skills
Ability to self-manage and prioritize work programs
Excellent communication and collaboration skills in Chinese and English
1 year plus B/S and J2EE related experiences
Deep understanding of data warehouse

108

Senior Data Analytic Expert Resume Examples & Samples

Implement position algorithm for LBS solution
Work with research group to evolve the position technical
Perform position method integration with radio units, location data vendors and chipset vendors
Perform position methods tuning in customer site
Experienced with data analytics technology
Expertise with Matlab
Experienced with mobile network system is preferred
Excellent coordination skills to work with customer/business Line
Strong experience on software programming
Open minded and analytical
Fluent in English, both written and spoken
LI-POST

109

Senior Data Analyst, WW BPR Resume Examples & Samples

Expert with Tableau or similar BI dashboard visualization tool
Ability to translate ambiguous business requirements into analytical insights
Familiarity with SAP BOBJ or similar BI tool
Familiarity with Operations and various functions (Planning, Order Management, Forecasting)
Experience with Python

110

Senior Data Review Specialist Resume Examples & Samples

Chromatography experience beneficial
At least three years of previous lab experience
At least three years of chromatogrphay experience

111

Senior Data & Business Analytics Engineer Resume Examples & Samples

Work with the various stakeholders, including leaders within Amazon’s world-wide marketing organization and around the rest of Amazon’s retail business, to understand business drivers, goals and actionable outcomes of large scale traffic analyses
Collect, analyze, and present actionable data to drive marketing, business development and product management decisions at a senior level
Extend and support a Microstrategy reporting platform that can provide structured and ad-hoc access to large datasets
Employ data mining, segmentation, and other analytical techniques to capture important trends in the customer base
Participate in strategic and tactical planning discussions by interfacing with business customers, gathering requirements and delivering complete analytical solutions
5+ years of relevant experience in a data science, business analytics, business intelligence or comparable data engineering role, including data warehousing and business intelligence tools, techniques and technology
Experience in data mining structured and unstructured data (SQL, ETL, data warehouse, RDS, RedShift, Oracle, etc.) in a business environment with large-scale, complex data sets
Ability to dive deep on data analysis or technical issues to come up with effective solutions
Expert-level knowledge of using SQL to write complex, highly-optimized queries across large volumes of data
Ability to separate the data signal from the noise
Demonstrated ability to frame complex analytical problems, pull data, and extract insights that led to tangible results (revenue, seller launches, new product features, etc.)
Experience using statistical tools such as Python/Pandas, R etc
Comfortable writing Oracle SQL, MySQL and/or ANSI SQL. (Experience with Amazon Web Services RDS and Redshift technologies a plus, but not required.)

112

Senior Data Business Systems Analyst Manager Resume Examples & Samples

Direct activities to highlight/identify gaps in existing functionality and review requirements with stakeholders
Support all tasks related to analysis and documentation of as-is state process, to-be state process, and the data required to traverse the gap
Lead transition of requirements and use cases to the Data Architects and ETL Developers, and ensure a clear and complete understanding of the requirements to meet the business
Coordinate support of all testing activities including but not limited to reviewing requirements and translate into test conditions and expected results for data product, performance and user acceptance testing
Ensure that solutions meet requirements outlined in the design documentation
Perform all planned work is delivered at the agreed time, cost and quality constraints
Ensure that developed solutions are peer reviewed and formally documented
Ensure all designs in accordance with the architectural roadmap and support the development, execution and testing deliverables
Ensure necessary support for functional and technical requirements gathering
Coordinate with program/project managers to develop work sizing effort and key aspects of the project/program and business case
Manage and direct up to 4 direct reports
10+ years of experience in data analysis and mapping
Bachelor’s degree required in Business Administration, Computer Science or related field, bachelors degree in Information Technology or technical field preferred

113

Senior Data Analysts Resume Examples & Samples

Constructing analytics to support marketing positions and new business activities
Becoming knowledgeable of healthcare-related governmental regulations, procedures, and requirements
Medicare or Commercial Risk Adjustment Experience
SAS programming knowledge preferred
Finance experience, including revenue and expense accounting
Other healthcare experience, especially technical experience

114

Senior Data Assimilation & Scientific Programming Specialist Resume Examples & Samples

B.S. in Math, Computer Science, Engineering or Physical Science e.g. (Meteorology, Physics)
10 years of related experience
Expertise in Statistical Modeling and Analysis
Expertise in ensemble-based data assimilation and variational data assimilation,
Proficiency in Linux and basic Linux administration
Proficiency in Modern Programming Languages e.g. (C, C++), Candidate must be willing to learn other languages e.g. FORTRAN
Experience with parallel programming concepts and tools e.g. OpenMP, Open ACC, MPI
Proficiency in various scripting languages e.g. Shell, Python
Proficiency in database tools and concepts e.g. ER Diagrams, SGL, MySQL
Experience with source code control systems i.e. code repositories e.g. SVN, GIT
Demonstrated ability to learn new programing languages and technical skills
Professional knowledge in one or more physical science fields
Proficiency in Technical Writing
Independent self-starter able to work autonomously with different groups
M.S. or Ph.D. in Physical Sciences, Engineering, Computer Science
Proficiency in FORTRAN
Expertise with Massively Parallel Programming concepts and tools e.g. OpenMP
Expertise in Interactive Debugger e.g. TotalView, Allinea

115

Senior Data / Report System Analyst Resume Examples & Samples

Project Management experience is desirable
Advanced experience with Microsoft Office, statistical software programs, and related reporting tools (i.e. Crystal)
Experience with SQL or Crystal and relational databases and of query/report writing
Full command of the English language
Able to deal with diverse skill sets and personalities; functions well as a team player; earns the respect of end-users and EIS peers
Highly organized with proven ability to meet deadlines, prioritize workload, and manage own time effectively
Executes all job responsibilities and assignments promptly, reliably, honestly, and ethically
Good oral, written and presentation skills

116

Senior Data & HPC Specialist Resume Examples & Samples

A preferred candidate should have an engineering, science or mathematics undergraduate degree (e.g. B.S) with additional graduate training or degrees (e.g. M.S.) with a research focus. Such areas of study include, but are not limited to: Computer Science, Information Technology (IT), Computer Information Systems (CIS), Engineering or related fields, etc
The ability to work on both user support/consulting and projects/planning is necessary
Candidates should feel comfortable directly interacting with faculty, students and staff
Familiarity and experience with resources at private or public sector HPC research computing environments, national centers or XSEDE (eXtreme Science and Engineering Discovery Environment) beneficial
Understanding of and experience with research computing and large data sets from both an architecture perspective as well as daily usage, support and application level knowledge
Knowledge of the continuum of research computing and scalability from desktop to HPC to cloud and grid solutions with a focus on large datasets

117

Senior Data Transformation Specialist Resume Examples & Samples

The successful candidate will be self-motivated and able to work with minimal supervision, have excellent attention to detail and the ability to meet strict deadlines
Excellent verbal and written communication skills with fluency in English
Working knowledge of common spreadsheet, word processing and presentation software
Solid grasp of global geography
Enthusiasm and a genuine interest in the subject matter are extremely important

118

Senior Data Processing Systems Analyst Resume Examples & Samples

Manages and monitors the data transactions, sessions, network and internet based transactional systems; edits, control and reporting capabilities and systems; and activities and transmission of systems' users including supervisors, customer service staff and hearing officers
Assists with the design, development, and testing of various technology-based systems and applications; coordinates user interface with technical and management personnel including consultant and vendor personnel
Assists with system design, development, implementation, monitoring and testing of various meter management applications, license plate recognition systems and photographic traffic monitoring systems (i.e. Red Light Camera systems)
Provides technical assistance and administrative guidance as required
Performs related work as required
At least three (3) years of full-time, or equivalent part-time, technical and professional experience in work that involved systems analysis and extensive customer service staff user interface with complex, high volume, computer-based parking violation processing applications. A bachelors' degree in information technology, computer science, or related field preferred and may be substituted for two (2) years of the required experience
Ability to exercise good judgment and focus on detail as required by the job
Knowledge of technology based mobile applications, customer service delivery systems, quality control systems and operations, vendor monitoring systems, resident permit systems, work-flow imaging, network applications, mainframe and client transactions and informational systems, graphical user interface applications, desktop reporting applications and electronic report distribution, archival applications, lock-box and on-line payment processing methodologies
Team player, good oral and written skills preferred

119

Senior Data Mgnt Analyst Resume Examples & Samples

BAU support for MO, Settlements and ACG regarding SSI and Account queries
CandC analysis and packing for weekly and monthly reporting to the business
On-going authentication, set up and maintenance of settlement instructions in a variety of internal applications
Daily interaction with clients and other depts. via telephone
SSI and Accounts MIS reporting
SSI client service coverage
MO and/Settlements experience, knowledge of Citi trading and settlement systems would be beneficial
Knowledge of Omgeo ALERT and/or other Omgeo products – Oasys/ CTM
Knowledge of SSI (settlement instruction) data; and familiarity with external products and services that add value to client and account data management
Proven understanding and exposure of talking to clients desirable
Proactive and able to work with remote teams
Flexibility around working hours
Ability to communicate clearly and succinctly to all levels of the organisation
Comfortable working with large quantities of data

120

Senior Data Intelligence Analyst Resume Examples & Samples

Good analytical skills ideally coupled with creative approaches to problem solving
Ability to explain technical data and concepts to a non technical audience
Understanding and adding value to our and our client’s business
Ability to take responsibility for own work; to make sure that others deliver in support of you if required
Self starter with entrepreneurial mentality
Strong knowledge of the applications within the Microsoft Office Suite (especially strong Excel – pivot tables, DAX, logic languages etc)
Working knowledge of Python
Experience with Data Visualisation platforms (Power BI knowledge a bonus)

121

Senior Data Analyst Ii Ehr Replacement Resume Examples & Samples

Bachelor's degree in Computer Science, Statistics, Mathematics, Business, Healthcare, Informatics, Information Systems, or related field is required. Five years experience working in Information Systems required
Seven years experience in healthcare, business or technology, Signifi cant experience or training in both Oracle and Microsoft SQL Server
Experience in at least one of the following: statistical analysis, database design and mapping, database queries, information retrieval
Knowledge of and experience with an automated hospital information system is required Direct Experience in report writing from data warehouse, application database or specific report writing tools
Good Customer service skills Ability to work with limited supervision Good written and verbal communication skills

122

Senior Data Analyst / Developer Resume Examples & Samples

A bachelor's degree and 7 years of professional work experience (or a master's degree and 5 years of professional work experience) is required
Expertise with SQL
Database development
MATLAB
BI / Analytics software - e.g. Tableau
Python, Ruby, Perl, other scripting
An interest in user experience & business metrics

123

ADC Senior Data Analyst Resume Examples & Samples

Carry out the manipulation and upload of the more complex data sets from a variety of finance systems across various business areas and clients into an in-house built system
Manage a portfolio of engagement teams, ensuring tasks are being done by the ADC in an efficient and accurate manner
Supporting junior data analysts in resolving data quality or integrity issues within their own datasets
Manage a smaller team of junior data analyst and being responsible for the output of your team

124

Senior Data Analytic Capabilities Analyst Resume Examples & Samples

Analyzes and transforms data into relevant and more broadly usable states via aggregations, business rules, etc
Performs analysis and make recommendations based on proven and quantifiable insights
Provides expert advice in the usage and interpretation of data
Partners with the business to understand management of the product and product features and functionality to interpret data most effectively
Bachelor’s degree in Computer Science, related field, or equivalent combination of industry related professional experience and education
Working experience working with high volume heterogeneous data, preferably with distributed systems such as Hadoop
Practical experience with batch and real-time data processing frameworks
Expertise with data modelling, data access, and data storage techniques
Familiarity and comfort working with relational and NoSQL databases
Understanding of and experience working with business intelligence tools and platforms
Exposure and experience utilizing data quality tools
Demonstrated knowledge of data extrapolation, interpretation and chart compilation
Knowledge of and ability to create visualizations that effectively tell a story of the data

125

Senior Data Center Ops Technician Resume Examples & Samples

Under general supervision, collects and monitors network traffic data to support capacity planning, routing, switching and load balancing, and supports the day-to-day provisioning and maintenance of network services
Has developed proficiency in a range of processes or procedures through job-related training and considerable on the job experience
Applies experience and skills to complete assigned work within own area of expertise
Acts as an informal resource for colleagues with less experience
Works within defined processes and procedures or methodologies and may help determine the appropriate approach for new assignments
Has limited impact on own work team; works within standardized procedures and practices to achieve objectives and meet deadlines as described by supervisor
Exchanges straightforward information, asks questions and checks for understanding
Solicits advice from senior associates and/or manager on successful approaches to manage responsibilities and overcome obstacles
Plans own time and resources appropriately and in advance
Prioritizes own work to ensure successful completion; minimizes time spent on unnecessary administrative activities
Develops basic understanding of technical discipline, answering basic questions pertaining to a specific area of expertise
Seeks opportunities to build functional skills and technical expertise; gathers feedback from senior associates
Applies basic functional and technical knowledge, in addition to organizational and IT standards, techniques, and procedures when completing work
Documents basic problems and the steps necessary to implement the solution
Applies basic solutions to problems
Collects information to analyze basic problems and identify their origin
Completes responsibilities to procure and distribute technology assets, following standard policies and procedures
Begins to develop rapport and relationships with customers by actively listening, resolving issues, recognizing when customers are dissatisfied, and ensuring needs have been addressed

126

Senior Data Techinician Resume Examples & Samples

Experience with AutoCAD Civil 3D and/or Carlson, Trimble Business Center
Proficiency with Microsoft Office programs, specifically Excel
Previous surveying experience. Pipeline survey experience a plus
Experience in both conventional and GPS surveys
Familiarity with surveying terms and the use and care of traditional field equipment
Strong work ethic, team player, and self-motivated
Strong technical, communication, documentation, scheduling and organizational skills

127

Senior Data Analyst / Modeler Resume Examples & Samples

Understand and translate business and data requirements into logical & physical data models in support of OLTP, Operational Data Stores, data warehouses and data marts
Provide data integration and design expertise, including application data flows, meta data, and data mapping
Perform an enablement role to facilitate development and analytics teams in locating, understanding, and selecting the appropriate DST and external data
Support Data Governance policies, standards, and processes
Ensure data structures are designed for flexibility to support future business needs and enhancements
Ensure that existing data is reused whenever possible
Consult with business and technical personnel to enable understanding and use of existing data
A minimum of 3 years data modeling or other data or object-related work experience demonstrating knowledge of database management systems and data management tools
Business orientation and strong analytic capability with ability to derive data designs from business concepts
Experience in data flows, integration, and data mapping
Flexibility and ability to work on multiple projects simultaneously in a fast-paced environment
Excellent ability to communicate verbally and in writing at various levels of the organization
Experience with data modeling tools (e.g. E/R Studio, Erwin, Power Designer)
Excellent people, relationship building and leadership skills and a proven customer service orientation
Bachelor’s Degree from an accredited four-year college or university; or two years related experience and/or training; or equivalent combination of education and experience

128

Senior Data Stage Developer Resume Examples & Samples

Perform analysis, design, development and testing of various application components
Ability to understand users' business requirements and translate them to specifications
Provide Technical Lead support; produce effort estimates, technical documentation, stay attuned to latest technologies
Interface with customers when required
Work with the team members located in a different location (e.g. Montreal, Toronto, Vancouver, and India)
Overseeing a team of technical developers (onshore and / or offshore)
The candidate should have 4 to 8 years of IT experience with at least 2 years of relevant experience with DataStage, SQL, and stored procedures
Bachelor’s degree in IT or equivalent work experience
Strong consulting and interpersonal skills
Autonomous
Ability to extract specifications from clients
Experience in DataStage version 8.5 or higher
Solid understanding of data warehousing best practices
In-depth experience transforming system requirements into technical requirement
Excellent analytical and problem-solving skills along with attention to detail and thoroughness
Strong teamwork and communication skills, plus a flexible approach to tasks and the working environment
DataStage Certification
Exposure to BI Tools such as Microstrategy, Cognos, Business Objects, etc
Linux/Unix scripting a plus
Experience with Big Data, Cloud Computing and Hadoop
Bus Intel / Data Warehousing
Multi-tasking
English

129

Senior Data Analyst, Client Insights Resume Examples & Samples

Analyze and interpret data through data mining client databases and other information systems to identify key insights and opportunities to better understand client behaviour and enhance the client experience
Develop methodology to define Client Lifetime Value, High Potential Value and size and share of wallet predictive propensity models to better understand the client’s wealth, profitability and willingness to purchase
Develop key metrics/KPIs to measure the client experiences throughout their journeys, MoTs, pain points, and touchpoints across all segments
Analyze and model data to define and validate client segmentation and understand the different client target market by channel and their key characteristics (demographic, attitudinal, behavioral…)
Support various business partner’s ad hoc requests for data analysis, insights, and business case development
Prepare compelling reports and presentations of market research and analytics results for a variety of stakeholders across Distribution, Marketing, Corporate, Product and Dealer
Establish and maintain effective two-way communication with key stakeholders where appropriate including distribution partners, sales managers, advisors, sales directors, and back office staff
Marketing minded
Creative and analytical
Action oriented, hands-on and decisive

130

Senior Data Center Capacity Manager Resume Examples & Samples

Drive alignment across a large organization on critical inputs and planning parameters resulting in a regional capacity plan
Effectively partner with internal stakeholders in order to identify technological and business constraints to avoid scheduling conflicts in the presence of multiple orders competing for limited resources over the planning horizon
Intermediate knowledge of SQL
Advanced forecast modeling techniques including safety stock optimization and sensitivity analysis

131

Senior Data Analyst / Developer Resume Examples & Samples

Develop data visualization and reports
Develop analytical methods for data processing
Optimize data structures and performance
Working with Customers and CSE Management to align requirements and execution
Data design models
Data presentation and Analytics
Engineering / Manufacturing Applications
Computer Application Development / Software Life Cycle Methods
Lean / Agile Methods
Statistical Analysis / Probabilistics
Surrogate Modeling
Automation
Spotfire, Qlik, Composite Studio
SmartUQ, R, Matlab, JMP, SAS, SQL, Teradata, Hadoop
HTML, CSS, JavaScript, REST, Websphere, Apache, Django

132

Senior Data Masking Developer Resume Examples & Samples

Serve within the Bank’s Data Privacy IT infrastructure function to design, code, and test and implement software scripts designed to protect sensitive customer non-public personal information (NPPI) in mainframe computer applications while maintaining core application functionality
Analyze applications to develop masking solutions at dataset, application and cross-application levels and document the masking solution deployed for a given application and supporting functions
Develop masking code utilizing File-AID DAS and other mainframe development tools to create a sustainable, repeatable, masking solution
Create masking rules for sanitizing and masking sensitive customer and employee information hosted within mainframe applications in their DEV and SIT environments
Provideoversight, design, coding, unit testing and implementation for the creation of Job Control Language (JCL) jobs
Serve as the lead contact for masking related project work and providing technical guidance to enterprise-wide projects that may impact, alter, or add the masking solution of an application, and provide senior-level support for troubleshooting mainframe masking related issues by using fact finding techniques and analytic tools to identify problems
Contribute to department policies and procedures regarding the analysis, design, and development of mainframe masking rules, and serve as a key subject matter expert for periodic mainframe refreshes of the development environments
Full term of required experience must involve oversight, design, coding, unit testing and implementation for the creation of Job Control Language (JCL) jobs
Designing masking solutions that properly alter the NPPI data within an application
Developing masking code utilizing File-AID DAS and other mainframe development tools to create a sustainable, repeatable, masking solution
Troubleshooting mainframe masking related issues by using fact-finding techniques and analytic tools to identify problems

133

Campaign Senior Data Analyst Resume Examples & Samples

To work with Campaign and Product teams to define and select the data requirements to support the delivery of the banks Regulatory & Strategic Communications plan to our customers
BIW and in particular data relating to UKBA, GTSA, ALS, Customer, Stockbrokers and Smart Investor
Wealth customers segments such as Private Bank, Premier Investments, Premier Global, Offshore Local and Non Personal
CRM, Wecco or CDI
PBTV

134

Senior Data Management Developer Resume Examples & Samples

DataStage ETL development, maintenance, and support (creation of data mappings and workflows, scheduling jobs, on-call support, enhancements, etc..)
Create system documentation including, but not limited to, source to target data mapping, data flow diagrams, programming specifications, etc…
Able to create reusable objects and job templates
Schedule, compile, and run DataStage jobs efficiently
Extensive experience with SQL coding and querying skills
Monitor jobs for performance issues and perform troubleshooting
Develop, enhance, and support best practices and standards for data integration
Mentor developers on data integration best practices and standards
Creates estimates and time lines for scheduled tasks
Applies proficient knowledge of data to create effective solutions
Maintains system documentation
Works with vendors, partners, internal/external customers
Provides mentoring for junior associates

135

Senior Data Review Specialist Resume Examples & Samples

Analyzes errors and provides feedback
Follows flow of work through audit to verification
Data validation of HRMS and MS/MS data and applications
Bachelor's degree in chemistry or other related degree concentration, or equivalent directly-related experience (two years of directly related industry experience is equivalent to one full-time year of college in related major)
At least three years related experience

136

Senior Data Analyst, Mobile Gaming Resume Examples & Samples

Work with game marketing, development and technology teams to deliver actionable insights into our games, in order to further increase user acquisition, engagement and monetization
Proactively perform a wide range of analyses to identify trends, issues, and opportunities across games
Answer business-related questions through exploratory data analyses and ad-hoc reporting
Design and implement advanced statistical testing for specific problem-solving needs (e.g. A/B testing)
Optimize online customer acquisition strategy to assist with scaling the business

137

Senior, Data Analyst, Product Resume Examples & Samples

Apply your expertise in quantitative analysis, data mining, and the presentation of findings to multiple levels of stakeholders, creating visual displays of quantitative information
BA/BS degree or equivalent practical experience
Experience in scripting with SQL, extracting large sets of data, and design of ETL flows
Work experience in an inter-disciplinary/cross-functional field
Deep interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation
Distinctive problem solving skills and impeccable business judgment
Capable of translating analysis results into business recommendations. Strong written and verbal communication skills

138

Senior Data Analyst, Product Resume Examples & Samples

Conduct data analysis to make product recommendations, track product KPIs and design experiments
Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations
BA/BS or Master's degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences)
3+ years of experience working with statistical packages (e.g. R, SAS, Stata, MATLAB, etc.)
Experience with articulating product questions, pulling data from datasets (SQL) and using statistics to arrive at an answer
Capable of translating analysis results into business recommendations

139

Senior Data & Business Intelligence Analyst Resume Examples & Samples

Graduation from college with a major in Business Administration, Analytics, Statistics, Economics, Educational Administration or an allied field and two years of experience in administrative analysis or operations research (preferred); or an equivalent combination of education and experience
Extensive demonstrated experience mining data from multiple sources and databases using SQL, Access, pivot tables and other query tools; compiling reports and business cases that include spreadsheets, tables, graphs, and PowerPoint slides; and providing insightful data-driven analysis
Thorough knowledge of databases, relational database design and management
Demonstrated proficiency in the using MS Office productivity suite
Ability to use dashboard intelligence platforms (i.e., IBM Cognos, Tableau Desktop, Tableau Server), enterprise performance management software, and other analytical technologies
Demonstrated skill in presenting data and providing analytical interpretation
Strong customer-service and interpersonal skills
Proven ability to communicate with a non-technical audience, understand business needs, and translate them into technical and analytical requirements
Fluency in information technologies, including high level of proficiency and understanding with data mapping, data mining and statistical software
Advanced knowledge of Microsoft Access or similar Relational Database Management Systems (RDMS) including ability to use Structured Query Language (SQL) or graphical user interface equivalents, to group, analyze, and transform data. Ability to generate moderately complex reports/tables using diverse data sets within MS Access or RDMS equivalent
Proven statistical and data analysis skills, including high proficiency and understanding with data mapping, data mining, and statistical software tools such as SPSS, SAS, R
Well-developed written communication skills to compose and document complex technical processes as well as user issues and their resolution

140

Senior Data Capture Associate Resume Examples & Samples

Perform data entry tasks in all applications including, but not limited to, NHO White Mail donations, event donations, event forms, direct mail, and pledge contributions
Perform data entry tasks into the Constituent Relationship Management application
Perform staff training in all applications including, but not limited to NHO White Mail donations, event donations, event forms, direct mail, and pledge contributions
Perform correction tasks on data previously entered in all applications
Perform data correction tasks for entries that failed automated business rules application in both the Invalids and Staging Error Queues for all applications
Perform batch & record reversal and correction tasks
Maintain adequate knowledge of functional business purposes the department supports with its products and services
Correct errors in FileNet
Perform export/import functions for outsourced work, including work acceptance and audit tasks
Support Data Export by posting batches daily to General Ledger in Lawson as needed
Support Data Export by researching and correcting error files returned from Lawson and Siebel as needed
Support Data Export by performing credit card donation transmittal uploads and downloads for payment, reversals, and reconcilement as needed
Support Data Export by managing the Customer Service/Verification inbox and working inbound and outbound exceptions as needed
Research and analysis
1) The candidate should possess specialized training or knowledge of Captiva and Fairfax Imaging Software, Lawson, Siebel, Magic and File Net software 2) Working knowledge of all Microsoft applications
1) Must be in current position for at least six months. 2) Must maintain an accuracy ratio of at least 99.5%
1) Multitasked and detailed oriented, able to handle high, as well as highly fluctuating, workflows to meet time sensitive deadlines & to work flexible work hours. 2) Must be able to effectively engage with a workforce comprised of both full-time and part-time staff. 3) Must be able to lift or push 30 lbs and sit or stand for extended periods of time. 4) Must be able to look at a computer monitor for long periods of time and alternate between the computer monitor and reference materials

141

Senior Data & Statistical Analyst Resume Examples & Samples

5-8+ years of relevant experience in the field of IP and/or Antitrust in an academia, industry, government, or consulting
Strong technical expertise in formal econometric and statistical methodologies for IP and Antitrust analysis
SAS / STATS /STATA, MS Office, particularly Excel

142

Senior Data & Evaluation Analyst Resume Examples & Samples

Work collaboratively with OSPI, DVR, Educational Service Districts (ESDs), Local Education Agencies (LEAs) and other stakeholders to develop a system for sharing and analyzing data to monitor indicators, improve practices and inform policy
Work collaboratively with OSPI, DVR, ESDs, LEAs and other stakeholders in efforts to maximize the use of data for program improvement
Understand and demonstrate the mission, goals, and vision of Seattle University
Participate in other duties as assigned

143

Senior Data Builder Resume Examples & Samples

Interpret analytical laboratory methods and other available information resources to configure and create tests, test lists and test bundles within LIMS as appropriate for laboratory use and reporting requirements, utilizing best practices
Communicate directly with laboratory technical contacts to determine the appropriate test configurations
Provide input relative to the update of standard pricing information
Perform other Analytical Definition-related activities
Manage the maintenance of tests, test lists and analytical definition to support methodology updates and annual price changes
Conducts all activities in a safe and efficient manner
Experience in Laboratory Information Management Systems
Familiarity with analytical methodology
Bachelor's degree in science-related field
Authorization to work in the United States indefinitely without restriction or sponsorship

144

Senior Data Power Developer Resume Examples & Samples

Development/enhancement of new/existing IBM Integration Bus objects
Assist in the gathering and analysis user requirements and provide consultation on estimates
Assess application architecture impact and follow sound systems design principles
Maintain systems development standards and ensure compliance
Prepare and maintain full documentation of development tasks and deliverables
Troubleshoot system errors reported by users
Apply change management principles where appropriate in the IT process to effectively deliver solutions
Ensure IT operational SLA compliance and operational efficiency of IT processes in support of business goals
Help onboard, train, and mentor new members in the team
2-4 years of experience in designing and developing simple to complex integration solutions
6 months – 1 year of solid IBM Data Power experience
Experience in delivering projects from inception through to post-implementation warranty using waterfall and agile project management methodologies
Experience in delivering projects involving stakeholders from multiple locations

145

Senior Data Visualisation & Insights Analyst Resume Examples & Samples

Understand the Hotels.com business sufficiently and the role of Analytics to be able to provide meaningful insight and analysis of business problems
Develop tools, visualisations and processes that improve the insight and analytical capabilities of the business
Support broader analytics team with visualisations and insights
Build good working relationships with key stakeholders in order to understand the business and the business needs
Develop an understanding of the data sources used in our business to be able to explain limitations and propose viable solutions based on the requirements
Ownership and automation of current manual processes
Assist the wider BI Data Engineering team to improve both data quality helping the business to improve underlying processes and sources
Collaborate with other BI Teams developing solutions and improvements and to drive best practice
3+ years of experience in an analytical role with an emphasis on communicating data insight
Experience of reporting and visualisation tools such as Tableau, R-Shiny, SSRS, Qliksense
Experience of scripting languages Python & R
Interest in more advanced data visualisations such as D3.js
Broad knowledge base of statistics and statistical interpretation of quantitative data
Experience in a travel, technology or an e-commerce organization

146

Senior Data Technologist Resume Examples & Samples

Responsible for discovering information and insights across multiple business areas
Responsible for using analytic techniques, like advanced data visualizations, to understand and improve BMI’s songwriter, composer, publisher and business partner experiences
Manipulate and analyze complex, high-volume, high dimensionality data from multiple sources
Work closely with internal business leaders to identify and answer important questions, using data, that help improve outcomes for BMI
Interpret problems and provide solutions using appropriate data modeling techniques
Apply expertise in quantitative analysis, data mining, and the presentation of data to evaluate how our users interact with both our consumer and business products
Drive the collection of new data and the refinement of existing data
Analyze and interpret the results of product experiments
Develop prototypes for new data ideas; taking initiative and breaking down barriers to achieve solutions
Creates reports / dashboard using automated production techniques that include alarm / alert systems using control charts and other statistical techniques
Applies cost implications to data trends with favorable or unfavorable impacts for business leaders
Communicate findings to product managers and development groups
Minimum 10 years’ experience with enterprise data architecture, data modeling, ETL, Oracle relational databases and high volume transaction processing systems, preferably in a custom software development environment
Minimum seven years’ experience with SQL Server, Oracle RAC, data presentation, query optimization, indexing, replication to business users
Minimum three years’ experience in large data environment (10+ TB of data preferred)
Expert knowledge of SQL, especially for SQL Server / Oracle
Proficiency with high volume OLTP Databases and large data warehouse environments
Proficiency with DB2 highly preferred
Proven track record of full life cycle successes from inception to successful completion and production support
Knowledge of SQL DW in Azure is a plus

147

Senior Data Wrangler Manager Resume Examples & Samples

Lead the development of software to clean and investigate large data sets of numerical and textual data
Integrate with external data sources and APIs to discover trends
Collaborate with the Information Management and Information Technology organizations, as well as Enterprise Analytics and the business on an enterprise wide basis to develop and execute strategy to assess Business Intelligence tools
Oversee the feeding data in support of rich data visualizations to communicate complex ideas to customers and company leaders
Construct, install, test and maintain highly scalable data management systems
Manage the integration of new data management technologies and software engineering tools into existing structures
Strategically identify and provide input on process improvement opportunities
Collaborate with the business partners and manage the development of functional designs and requirements to enable Business Intelligence capability
Create and maintain a work environment that promotes client service, teamwork, performance feedback, individual recognition, mutual respect, and employee satisfaction ensuring quality hiring, training, and succession planning processes that encompass the company’s diversity commitment
High performance focus of reporting designs and supporting queries
Performs other work related duties as requested
Bachelor's degree in Computer Science, Information Systems or related field; or equivalent education and experience
At least 6 years of progressively responsible job-related experience, with 4 years related to data management, 2 years of experience with SQL and 2 years of experience with relational databases
Have interpersonal skills to deal effectively with all business contacts
Able to effectively communicate in English, in both written and oral forms

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