Senior Analyst, Data Resume Samples

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M DuBuque

Madison

DuBuque

8699 Abernathy Stravenue

San Francisco

+1 (555) 575 7432

8699 Abernathy Stravenue

San Francisco

Phone

p +1 (555) 575 7432

Experience Experience

San Francisco, CA

Senior Analyst, Data Stewardship

San Francisco, CA

Kling, White and Murray

San Francisco, CA

Senior Analyst, Data Stewardship

Assist in User Acceptance Testing for all NDW and Hadoop projects
Assist in the development of the business rules and logic in order to harmonize the data
Assist in developing a data ingest roadmap and staying on timelines
Partner with HQ systems engineering NETO and business units to implement nationalized best in class business logic and to process data in stage, journal, base and semantic within Teradata and Hadoop / Horton Works
Help in providing answers and detailed information regarding questions about data
Partner with data quality and project management teams throughout the project lifecycle
Assist with the development and implementation of the approved project

Philadelphia, PA

Senior Analyst, Data Insights

Philadelphia, PA

Hilpert, Hamill and Bechtelar

Philadelphia, PA

Senior Analyst, Data Insights

Work collaboratively with cross-functional teams by performing in quantitative analyses and ad-hoc reporting to monitor performance and trends
Work with Data Management Platform (DMP) partners and manage day-to-day onboarding of client data
Assist in the development of client-facing materials including data strategy presentations and audience performance reports
Participate in team meetings and knowledge sessions to share new strategies for targeting campaigns and to provide feedback on platform and data performance
Create data science practice standards
Stay current on digital marketing and ecommerce trends, research and evaluate market opportunities and guest behavior to increase revenue and guest satisfaction
Manage data strategy for programmatic advertising clients and communicate strategies/recommendations to clients using a consultative approach

present

Philadelphia, PA

IT Senior Analyst Data Center

Philadelphia, PA

Wilkinson LLC

present

Philadelphia, PA

IT Senior Analyst Data Center

present

Communicate with DC Manager (Raised Floor & Sr DC Manager) on constant basis about project work
Work with network teams, server teams to request IP's for hardware deployment
Work with Network teams, server teams to request IP's for hardware deployment
Communicate with DC Manager on constant basis about project work
Since the team is working both in a global worldwide, regional EMEA and a local Belgian context, knowledge of both Dutch and English are key for this position
Perform IT hardware installations, which includes setting up cabinets, racking equipment, and cabling devices
Provide on-site vendor escort support for maintenance, break/fix, and/or upgrades

Education Education

Bachelor’s Degree in Finance

Clark Atlanta University

Bachelor’s Degree in Finance

Skills Skills

Consolidates data from multiple sources, using industry based tools or manually; able to process data effectively using Microsoft Excel
Ability to record and present audit results to management
Ability to understand business processes as well as seek opportunities for continuous improvement
Ability to produce audit reports and present findings to management
Strong understanding of audit theory and its application
Design, formulate, evaluate, analyze and track encounter data quality and performance
Actively collaborate and participate with internal and external business partners and stakeholders to improve quality of encounter data
With limited supervision, the Sr. Analyst, Data is responsible for data compilation, data management, data analysis, and reporting
Extracts and compiles various sources of information and large data sets from various systems or applications
Set up process for monitoring, tracking and trending information and data using various systems or applications

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Senior Analyst, Data Management Services Resume Examples & Samples

Develop quantitative financial products used to inform individuals or financial institutions engaged in investing
Apply financial engineering methodology and theory to understand trading strategies, market dynamics and trading system performance, to inform development of quantitative techniques
Investigate methods for financial analysis to create mathematical models used to develop improved analytical tools or advanced financial investment instruments
Ensure that data operations and reconciliation tasks are handled in a timely, efficient and professional manner
Perform equity and fixed income index reconciliation duties
Define model specifications or data collection methods
Research availability and suitability of additional index information
Work with developers and create specifications for new index data
Answer inquiries from our global client service teams about index data and operations
Resolve general data issues for vendor supplied security level terms and conditions
Model structured fixed income securities
Consult with developers to research, model, validate and implement quantitative structured solutions for new or expanded markets
Provide additional support for other month-end data operations tasks
Perform additional duties that are normally associated with this position, as assigned

Senior Analyst, Data Insights Resume Examples & Samples

Use advanced statistical and data mining techniques to conduct deep-dive analyses on various complex data points that impact/drive Guest experience and engagement
Develop easy-to–consume narratives and actionable insights from complex concepts
Cultivate business operations recommendations and changes based on analytic findings
Work collaboratively with cross-functional teams by performing in quantitative analyses and ad-hoc reporting to monitor performance and trends
Proactively identify gaps and opportunities in Guest experience and work with cross-functional teams to make improvements
Incorporate data from the data warehouse and e-Commerce click stream data to better understand the customer’s behavior and value
Stay current on digital marketing and ecommerce trends, research and evaluate market opportunities and guest behavior to increase revenue and guest satisfaction
Create data science practice standards
Discover opportunities through data mining
Develop profit models
Build and integrate predictive models
Optimize customer targeting and segmentation to improve customer value
2 hands on experience extracting, manipulating , analyzing data and providing actionable recommendations
Must be able to take an entrepreneurial, self -starter approach
Ability to develop clear and concise thoughts into recommendations and findings
A creative problem solver who is self-motivated and tenacious when tackling tough issues
Attention to detail, able to validate data and recognize anomalies
Strong interpersonal and communication skills
Proven team player with the ability to guide and influence cross-functional teams
Works well under pressure and tight deadlines
Strong ability to design and develop data using SQL
Experience with R, SAS, or other industry standard statistical applications
Ability to code (Perl, Scala, Java, etc.) or previous software engineering experience and hacker abilities
Knowledge of advanced statistical and machine learning techniques such as experimental design, decision trees, neural networks, dimension reduction, resampling methods, generalized linear models, Bayesian analysis

HBO Senior Analyst, Data Sciences Resume Examples & Samples

Perform statistical and data mining analyses to support HBO digital properties
Assist in the creation and continued support of internal analytics databases to ensure actionable outcomes for analyses and reporting
Draw meaningful insights by combining multiple data sources using advanced statistics and data mining techniques
Work with others to form hypotheses and use analytical skills to support those working theories
Continually broaden and strengthen knowledge of analytical methods, vendors and tools

Senior Analyst, Data Visualization Resume Examples & Samples

Develop a wide portfolio of visualization solutions that will support multiple business partners throughout the organization
Provide intelligence on the capabilities and functionalities of visualization tools (specifically Tableau) and identify the optimal data solution
Facilitate requirements gathering and discovery sessions from business leads
Design and build internal performance dashboards/reporting, across all areas of the business, with an emphasis on a Leadership Level performance suite
Collaborate with IT development and user experience teams on the design and presentation of data and analytics for IT based solutions
Coordinate UAT sessions with business partners
Identify opportunities and provide recommendations/insights to make data more visual, understandable and actionable
Present solutions to the CFO and other senior leaders on a regular basis
Influence the advancement of a strong visualization strategy. Help business users to become more analytical and self-sufficient with their own data
Assist in the creation and oversight of Data Visualization Governance, including development and adoption of data visualization standards
Take large amounts of complex data and simplify for a general audience

Senior Analyst, Data Resume Examples & Samples

Develop best practices for instrumentation & experimentation and communicate those to product engineering
Communication and coordination between multiple internal and external development teams.Drive the collection of new data and the refinement of existing data sourcesAnalyze and interpret the results of product requirementsJob Requirements:Bachelor's degree in a relevant technical field or/and equivalent to 5 to 6 years experience in a relevant roleElicit and produce data requirements based on research and client interactionCreate reports based on pre-defined data requirements (i.e. specifications)Generate & run specialized reports (via internal tools & utilities) as requested by our stakeholders & customersDocument processes, definitions and conversion details on multiple wikisAssist in defining analytics requirements for reporting based on customer feedback and guidanceDesign, develop, and produce analytic reports & document findings in JiraWork closely with client integration teams, POs, PMOs, developers and data scientists to meet analytics requirements and resolve issuesResponsible for manipulating & analyzing complex, high-volume, high-dimensionality data from varying sourcesObtains a strong passion for empirical research and for answering hard questions with dataFamiliarity with programming languages such as Java, Scala, JavaScript, and others is advantageousExperience working with large data sets, experience working with distributed computing tools is a plus – like Map/Reduce, Hadoop, Spark Streaming, Druid, etc.Assist with wiki documentation, definitions and translation of data sources, metrics and dimensionsWork closely with data scientists to help isolate and resolve complex big-data issues and communicate findingsPreferred Qualifications
Familiarity with big data client / server development at a large scale
Familiarity with video streaming protocols (HLS, Smooth Streaming, Flash) to ensure we fully understand the data requirements of our stakeholders
Familiarity with data delivery and reporting within the Content Delivery Networks (CDN)
Familiarity with commercially available open-source software solutions such as OpenStack, Mesos, and Docker

Senior Analyst, Data Quality Resume Examples & Samples

Process Modeling
Dashboards
Thresholds
Convey complex technical issues/problems to programmers in a clear/concise manner
6+ years of relevant employment experience
6+ years writing technical requirements and business logic
3+ years experience interpreting data models, data dictionaries and queries

Senior Analyst, Data Visualization Resume Examples & Samples

Support the development of a Center of Excellence for Tableau (and related data visualization tools) which will train and empower thousands of analysts across the company
Collaborate with architects to ensure effective utilization of enterprise tools and platforms and to optimize solution performance using visualization best practices
Rapidly design, prototype and iterate on creative concepts
Remain knowledgeable in current trends and maintain involvement with the outside visualization community
Possess sound understanding of data structures for analytics and query languages (e.g. SQL)
5+years working experience
2+ years experience in deploying interactive experiences / dynamic data visualizations

Senior Analyst, Data Stewardship Resume Examples & Samples

Assist in User Acceptance Testing for all NDW and Hadoop projects
Assist in the development of the business rules and logic in order to harmonize the data
Assist in developing a data ingest roadmap and staying on timelines
Partner with HQ systems engineering NETO and business units to implement nationalized best in class business logic and to process data in stage, journal, base and semantic within Teradata and Hadoop / Horton Works
Help in providing answers and detailed information regarding questions about data
SQL-required
Hadoop / Horton Works Required
Informatica plus
Minimum of 3 years relevant work experience

Senior Analyst, Data Sciences Resume Examples & Samples

Presentation, storytelling, and project management trainings
SQL, SAS (or Stata), Microsoft Office products, Tableau
2-4 years of work experience in a quantitative business environment

Senior Analyst, Data Quality Resume Examples & Samples

Analyzing ingest process, data, technologies, and stakeholder objectives to effectively implement data quality solutions in an agile fashion at an enterprise scale
Completing exploratory and descriptive analysis to explain the core concepts related to a given business specific dataset (i.e. table or set of tables)
Identifying business rules and requirements for assessing the quality of data relative to business rules and previous trends. These rules will define the monitoring logic used to ensure that data anomalies are detected
Process documentation/modeling
Technical writing including requirements, event summaries and recommendations (etc.)
Experience with at least 2-3 programming languages (Procedural and some Object Oriented) ability to write complex (repeatable) SQL is a minimum
Exposure to the following a plus: Hadoop, Teradata, Linux command line
Exposure to the following a plus: Tableau, Informatica, SAS, Metric Insights
Bachelor's degree required with related experience, or an equivalent combination of education and experience from which comparable knowledge and abilities can be acquired. Ability to analyze complex data, business processes, and information flow needs. Must have excellent communication skills with the ability to drive data quality concepts and solutions. Master's degree preferred

Senior Analyst, Data Management & Controls Resume Examples & Samples

Project support – understanding requirements, data flows, system needs and testing
Production support - Day-to-Day Involvement of data flows and systems from/to Pace
Extensive work with the Security Master File
Thorough research of issues and execution of solutions
Process Improvements and documentation of SOPs
Support for Corporate Actions, Fixed Income, Equities, Performance, Reconciliations, and Trade Support
Coordinate priorities with Business Groups, Accounting, and IT
Interact and build relationships with multiple areas of the company
BA Degree required
Minimum of 5 years business experience in the Financial Services/Asset Management industry
Experience in Security Reference Data required
Strong knowledge of Security types (such as Fixed Income, Equities, Options, Credit Default Swaps, and Credit Default Exchange) is required
Bachelors Degree in Business Administration, Economics, Finance, Information System desired
Knowledge of Bloomberg Preferred
Intermediate Microsoft Office skills and basic SQL knowledge preferred
Strong communication (verbal and written skills), relationship skills and client service skills
Strong understanding of business control functions a plus
Show initiative and demonstrate ownership
Strong analysis, problem-solving, and strategic thinking skills
Must be able to multi-task and demonstrate an ability to prioritize multiple items

Senior Analyst, Data & Insights Resume Examples & Samples

Drive operational metrics and insights into our global service organization
Determine key data sources and data interdependencies within the organization, to ensure all relevant parameters are considered to gather insights
Be able to drive operational insights and support with their implementation
Become the subject matter expert for all operational metrics and continuous improvement questions
Gather and evaluate feedback for continuous improvement of all processes
4-year college/university degree
2+ years of business operations, strategy, or analytics background
Familiarity with automotive service processes a plus
Proven experience developing well-structured process models and materials, as well as precise communications to a range of internal stakeholders
(Internal) customer orientation and great problem-solving skills required
Experience working with technical specialists and customer service professionals
Understand and honor the fact that ultimately, every process function is there to ensure the best possible customer experience

Senior Analyst, Data Quality Resume Examples & Samples

Analyzing ingest process, data, technologies, stakeholders, and stakeholder objectives to effectively implement data quality solutions in an agile fashion at an enterprise scale
Performs business intelligence analysis and data exploration effectively and independently
Extracts signals and signatures from raw data, integrates that information with other data sources and compiles/disseminates reports to customers
Leads the daily, weekly, and month triage of data, reporting, and data quality activities/deliverables
Trains/Educates/Consults with others throughout the organization in using data quality frameworks/tools
Visio/BPMN 2.0/Process diagraming
FMEA (Failure Modes and Effects Analysis)
Experience with at least 2-3 programming languages (At least one procedural and one object oriented) ability to write complex (repeatable) SQL is a minimum

Senior Analyst Data Systems Resume Examples & Samples

Strong partnering with IT to ensure system integration and approach data loads, governance, and logic. Will develop and install appropriate levels of controls per interim data loads and also focus on long term systems approach
Each Lead will focus on specific issues / data challenges unique to each BU while ensuring appropriate steps to drive harmonization (i.e. DPS Spine Back to Basics – 2 ordering systems)
Will also include additional data loads – 3rd party information
Active involvement with key stakeholders such as JNJ MDM/HSC around data management and alignment on customer definitions: UCN, INDV, and legacy information and will provide support to drive towards common levels of data definitions
Strong collaboration with Data Integrity Mgr and IT product owner to ensure comprehensive and aligned approach to IT roadmap per additional systems (i.e. CRM)
Focus will also be on deployment changes and introduction of new data metrics from ACORN model (Gross Margin, Account P&L)
Minimum of a Bachelors degree is required
MBA or MS is preferred
A focused degee in Mathematics, Statistics, Finance, IT or Business related field is preferred
Minimum 3 years work experience required preferable in related field
Advanced EXCEL, PowerPoint and data management skills are required and knowledge of analytical tools (i.e. TABLEAU, SPOTFIRE, COGNOS, Minitab, SPSS or SAS) is required
Experience managing projects is required
Experience in medical device, or healthcare field is preferred
Experience partnering with Field Sales, Information Management/Information Technology, or marketing organization is preferred
TESTING Experience is preferred
Strong analytical experience, business acumen and technical skills are required
This position requires up to 25% domestic travel
This position is based in Irvine, CASales Administration

IT Senior Analyst Data Center Resume Examples & Samples

Position requires a self-motivated team player
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily
Communicate with DC Manager on constant basis about project work
Listen and understand the tasks at hand and be able to provide the best possible solution for implementation
Interface and coordinate with deployment teams on hardware forecast
Planning, forecasting on all implementations of all hardware, servers installs and de-installs
Request forecasting 3 Months out for Beerse and co-locations (Hemel Hempstead & Slough)
Ability to effectively communicate with our customers
Attend meetings, Staff, Project, new installs
Ability to evaluate and prioritize multiple responsibilities
Exceptional documentation skills
Knowledge IT hardware architecture and configurations
Understanding of subnets, and VLANs
Work with Network teams, server teams to request IP's for hardware deployment
Take delivery of the project hardware as required, Racks
Perform IT hardware installations, which includes setting up cabinets, racking equipment, and cabling devices
Perform standard server installations of equipment ranging from full racks to individual servers
Provide onsite support for device troubleshooting to include cable testing/replacement support
Provide on-site vendor escort support for maintenance, break/fix, and/or upgrades
Ensure that the Aperture hardware inventory is updated and accurate on a regular basis, based upon moves, adds, and changes
Attends change management meetings as needed
Data center house keeping
Maintain data center cleaning and have data center tour ready at all times
Maintain a safety conscious work environment
Create, maintain and improve operational work instructions as required
Safety first: always ask for assistance when needed
Postion may require travel
A minimum of a Bachelor's degree or equivalent experience; engineering degree or data center design certifications preferred
Must have a minimum 3 years of experience
Experience in a (large) data center is an asset
Experience in the design & maintenance of Data Center MEP (mechanical, electrical and plumbing) is required
Must have strong experience racking and moving server hardware, running networking and power cables, updating documentation using DCIM tool – Aperture preferred
Proficiency in using Aperture DCIM tool
Proficient with Microsoft Office-based applications
Proven ability to execute multiple tasks efficiently and effectively
Demonstrated ability to produce quality work on a consistent basis
Must be a self-starter and be able to manage assigned tasks with limited management input
Physical ability to perform equipment installations
Must be a self-starter and be able to manage assigned
Effective interpersonal skills (written and oral)

Senior Analyst, Data Management Resume Examples & Samples

Daily checking and updating static data on Enterprise, reviewing and investigating data
Assist with the daily creation & maintenance of securities or funds data using Bloomberg, Reuters or other reference sources
Reacting to internal requests and investigating, reviewing and data research using various sources
Ensure that the department meets daily internal/external deadlines
Maintain systems and collate information that provides MIS information internally
Ensure external price distribution recipients receive correct fund price information and investigate queries
Dealing with global custodian banks and their sub agents to obtain settlement information required to update the Alert system
Building new funds and securities within product hub and Invest 1 and dependent systems
Assist in testing/ implementation of projects which will impact the department as when needed
Strong Data Management experience
Proven ability to communicate and work with all levels of personnel
Technical expertise -
Industry knowledge -
Company knowledge -
N2 compliant – Willingness to study to become T&C Competent
Experience of Unit Trusts, OEICs and Off Shore funds advantageous

Senior Analyst, Data Mgmt Resume Examples & Samples

Conduct deep research & ad hoc analyses using analytical best practices on clinical data, ensure HIPAA compliance, and prepare various styles of reports and visualizations required by internal and external customers
Ability to understand database architecture and design principles. Understands cardinality and entity relationships. Demonstrates basic knowledge of database design principles and data administration standards
Design advanced reports from queried data using SQL, SSRS, Excel, PowerPoint, SAS, and R
Ability to write SQL queries and build SSRS reports and code in R
Ability to analyze data in R or SAS
Able to define methodology and analytics approach as required for each specific data analysis project and document all assumptions
Solid understanding of basic statistical principles including hypothesis testing and regression
Applies knowledge and skills to a wide range of standard and non-standard situations and uses creativity to solve problems and improve processes
Demonstrates working knowledge of database design principles and data administration standards
Demonstrates working knowledge of at least one database platform
Demonstrates working knowledge of database design and database support tool
Develops logical and physical data models for small projects
Administers basic databases on at least one database platform
Minimum 3 years of experience required
Proven database experience with the ability to write ad-hoc queries and test accuracy of results
LI-CC1

Senior Analyst Data Platforms Resume Examples & Samples

25%-Run analytics on current and new audience segments for insights and to support campaign/ channel optimization
20%-Responsible for cleansing and integrating data from numerous proprietary and syndicated sources to support the needs of business partners
15%-Maintain and execute project plan for scaling The Home Depot’s data management platform
15%-Analyze effectiveness of data management programs against target metrics. Create reports and provide results to senior leadership and make recommendations to optimize channel effectiveness
Must be eighteen years of age or older
Agency experience Knowledge
Strong Analytical Skills
Working knowledge of SQL and Relational Databases
Ability and willingness to operate in a highly cross-functional environment

Senior Analyst Data Management Securities Resume Examples & Samples

Daily checking and updating of static data on golden source system
Ensure security data is set up accurately prior to the FIL valuation points in all other systems, e.g. accounting, pricing etc
Review daily data quality checks and resolve any discrepancies in any of the systems
Assist the wider securities data team to ensure the team meets daily/external deadlines with regards to checklists and processes, such as market defaults, exchange holiday data, coupon changes on bonds, etc
Adherence and maintenance of departmental procedures
Implement additional data quality/validation/report checks to reduce risk
Assist the data management project team to identify automation of processes and/or assist with testing of on-boarding of new security data attributes
Escalate and liaise with Fidelity technology teams to resolve system issues
Adherence to procedures and FILs Data Governance policy with regards to being Data Custodians/Owners when resolving data errors in FILs Fund Golden Source system
Act as a point of contact and subject matter expert on security data related issues

Senior Analyst, Data Resume Examples & Samples

Perform regular analytics testing for anti-fraud, assess results, and perform root cause analysis
Support corporate security with forensic accounting as required
Perform risk assessments to identify hazards, threats, control issues, and potential consequences
Assist in the execution and reporting of policy and compliance audits or management consulting engagements in accordance with professional standards
Understand and apply audit engagement methodology practices
Prepare working papers, supporting documentation, and audit reports that adhere to professional standards
Experience with operational, construction, and/or financial auditing
Bachelor degree in business or commerce
Strong understanding of audit theory and its application
Knowledge of systems such as SAP, ACL, auditing tools and techniques, and other Microsoft Office products is preferred
Ability to produce audit reports and present findings to management
Ability to understand business processes as well as seek opportunities for continuous improvement
Ability to record and present audit results to management
Competitive base salary and compensation programs
Rewarding pension and savings plans

Senior Analyst, Data Management Resume Examples & Samples

Collect, explore, evaluate and transform data from databases, flat files, spreadsheets, and other data sources
Ability to translate complex analytical and data related concepts into a simplified consumable manner. Can create statistical tests to prove value of new products or business hypotheses
Ability to understand database architecture and design principles to define cardinality and entity relationships across systems. Demonstrates advanced knowledge of database design principles and data administration standards
Demonstrates advanced knowledge of database design and support tools
Can quickly interpret and adapt to logical data models using both relational and dimensional modeling techniques
Design advanced reports from queried data using SSRS, Excel, PowerPoint, SAS and R Visualizations
Ability to write SQL queries and build SSRS reports and code in R and SAS (previous data mining and predictive analytics experience a plus)
Act as a subject matter expert on medical device data
Has in-depth experience, knowledge and skills in own job family
Applies knowledge and skills to a wide range of standard and non-standard situations,, uses creativity to solve problems and improve processes
Works independently with minimal guidance
Aligns work priorities with organizational goals, sets customer expectations on scope and deliverable schedules
Acts as a resource for colleagues with less experience
Bachelor's (BS) in Computer Science, Business or related field preferred or equivalent work experience, advanced degree preferred
Minimum 5 years experience required
Strong math, statistics, and data mining backgrounds, experience with predictive analytics a plus
Strong analytical, problem solving, organizational, and planning skills
Proficient PC skills; including working knowledge of Microsoft Office products, SQL Server, R, SAS

Senior Analyst, Data Stewardship Resume Examples & Samples

Help in driving awareness, understanding, and adoption of the digital data mart throughout the Enterprise Business Intelligence group and beyond, including Division and Regional offices
Assist in UAT for all releases, new projects and data ingests
Assist with creating and supporting related business intelligence processes
Assist in providing answers and detailed information regarding questions about digital related data
Partner with data quality to create and monitor checks and alerts on all digital data tables
Research and build new segments from Adobe Omniture based on business needs
Build strategic reports and visualizations for multiple purposes
Need to maintain detailed documentation through data ingestion to ensure fully transparent communication and meeting deadline expectations
Assist Sr. Manager with documenting development requirements for ingest, enhancement, defects
Adobe Omniture-required
Hadoop / Horton Works a plus
Localytics a plus
Experience developing customized digital data marts and cubes a plus
Minimum of 2 years relevant work experience in Digital Data / Web Analytics space

Senior Analyst, Data Assets Resume Examples & Samples

Monitor and manage all incoming data from existing data suppliers, ensure data integrity and quality controls are met, work with customers to resolve data quality issues. Ensure incoming data is loaded within established timeliness and issues are escalated to external and internal contacts for resolution. Monitor receipt of data from suppliers and follow-up on missing data. Recommend data suppliers for termination for failing to meet data quality standards, frequency or minimum account requirements. Identifies opportunities within the customer’s data portfolio
Work with existing data suppliers on projects that impact incoming data (format change, new data portfolio etc.)
Work with new data suppliers regarding data submissions to TransUnion, test, and evaluate quality of data during testing process. Make recommendations for data quality improvements. Make recommendation for data acceptance or decline. Work within the SOP for new data suppliers
Complete annual audit and data quality review for customers who supply 80% of the data. Document recommendations and take responsibility for identified improvements from the meeting
Web Updates Site: provide online and in person training, maintain administration registration information, recommend enhancements to the site based on customer feedback and incoming effort. Participate in requirements provision, user acceptance testing and User Guide maintenance
Educate existing and potential data suppliers on the data reporting standards for TransUnion
Review Standard Operating Procedures and SOX documents on an annual basis, recommends improvements to processes and standard reporting
Review and recommend enhancements to tools, identifies opportunities for automation and improved monitoring for data asset management. Document business requirements, and prepare business case and supporting documents as required
Develop documentation as required (new data type / data quality standards / testing standards). Assist with training new associates and takes a leadership role within the department
Work on special projects as required

Senior Analyst, Data Systems Resume Examples & Samples

Partnering with IT to ensure system integration and approach data loads, governance, and logic
Developing and installing appropriate levels of controls per interim data loads, and also focus on long term systems approach
Focus on specific issues / data challenges unique to each BU while ensuring appropriate steps to drive harmonization
Involvement with key stakeholders such as JNJ operating companies around data management and alignment on customer definitions: UCN, INDV, and legacy information and will provide support to drive towards common levels of data definitions
Collaborate with Data Integrity Manager and IT product owner to ensure comprehensive and aligned approach to IT roadmap per additional systems (i.e. CRM)
Drive deployment changes and introduction of new data metrics from ACORN model (Gross Margin, Account P&L)
Minimum of a Bachelor’s Degree is required. A Bachelor’s Degree in Mathematics, Statistics, Finance, IT and/or Business related field is preferred
An Advanced Degree is preferred
Minimum 4 years professional work experience required
Experience in medical device, or healthcare related field is preferred
Strong data management experience is required
Experience with Database structures (i.e. Oracle, SQLSERVER, etc.), and Interface technologies (i.e. Informatica, WebMethods, etc.) is preferred
Experience in query and report writing tools (i.e. Microsoft Access, Cognos Impromptu, SQL, Focus) and data access methods is required
Advanced EXCEL and PowerPoint skills are required
Knowledge of analytical tools (i.e. TABLEAU, SPOTFIRE, COGNOS, Minitab, SPSS or SAS) is required
Strong business acumen experience is required, as well as the ability to partner with Field Sales, Information Management/Information Technology, or marketing

Senior Analyst, Data Mgmt Ops Resume Examples & Samples

Bachelor's degree in finance, economics, computer science or a related discipline, or equivalent work experience required
Typically requires 5-7 years of total work experience, preferably in securities or financial services
Uses SQL for data mining purposes to troubleshoot data conditions in relational databases
SQL Skills required (1-3 years anonymous block data analysis querying skills)

Senior Analyst, Data Visualizations Resume Examples & Samples

Foster partnerships and industry relationships to strengthen Comcast's position in the field
3-6 years working experience
Experience in telecommunications, media, or other subscription based industries preferred

Senior Analyst, Data Services Resume Examples & Samples

Provide expert guidance, advice and analysis on the use and interpretation of global data in QuintilesIMS global offerings
Graduate – Biomedical Scientist, Pharmacist or equivalent subject expertise
Relevant pharmacy, pharmaceutical industry, pharmaceutical information experience/knowledge required; in addition any experience in medical devices desirable
Knowledge of key issues and current developments in the pharmaceutical and healthcare industries
In depth understanding of QuintilesIMS internal data processes, terminology and systems, or the capability to quickly gain this knowledge
Proven strong analytical and problem solving skills of often complex processes; confidence to challenge experts
Organised, methodical, and process-oriented
Excellent communication skills both verbal and written (business language and documentation in English)
Proactive, quick thinking and accountable
Ability to respond quickly to a wide variety of queries, where sometimes there is no clear answer or supporting documentation
Ability to multi-task and prioritise effectively
Ability to apply experience gained in one activity to other similar activities

Senior Analyst, Data Architecture Resume Examples & Samples

Manage data strategy for programmatic advertising clients and communicate strategies/recommendations to clients using a consultative approach
Leverage data to assess, diagnose and prescribe campaign optimizations to exceed client expectations
Assist in the development of client-facing materials including data strategy presentations and audience performance reports
Participate in team meetings and knowledge sessions to share new strategies for targeting campaigns and to provide feedback on platform and data performance
Experience managing Online Display, Video and Mobile campaigns
Understanding and experience with DSPs, DMPs, 3rd Party data, pixels and Ad Servers
Familiarity with customer acquisition goals and optimizing to CPA, CTR, Completion Rate, etc
Strong analytical skills, technical know-how and strategic thinking
Excellent interpersonal, oral, and written communications skills
Strong attention to detail and ability to follow projects through to completion
Ability to communicate technical concepts to a non-technical audience

Senior Analyst, Data Resume Examples & Samples

Must understand EDI 837 requirements and convey the conceptual and operational needs for the health plan
Research errors and issues relating to EDI 837 encounter data correctness, completeness and timeliness
Design, formulate, evaluate, analyze and track encounter data quality and performance
Requires ability to comprehend, interpret and apply data information from various sources for analytic needs
Actively collaborate and participate with internal and external business partners and stakeholders to improve quality of encounter data
Extracts and compiles various sources of information and large data sets from various systems or applications
Assists in preparation of regularly produced reports to support executive decision-making
Works with internal, external and enterprise individuals as needed to research, develop and document new standard reports or processes

IT Senior Analyst Data Center Resume Examples & Samples

Communicate with DC Manager (Raised Floor & Sr DC Manager) on constant basis about project work
Work with network teams, server teams to request IP's for hardware deployment
Take delivery of the project hardware as required
Ensure that the DCIM hardware inventory is updated and accurate on a regular basis, based upon moves, adds, and changes
Position may require travel
Must have a minimum of 3-5 years of experience working in a large data center
Good understanding of basic MEP (Mechanical, Electrical and Plumbing) design concepts
Proficiency in using DCIM tool
Ability to effectively communicate with our customers and third party vendors (written and oral)
Since the team is working both in a global worldwide, regional EMEA and a local Belgian context, knowledge of both Dutch and English are key for this position

Senior Analyst, Data Center Infrastructure Resume Examples & Samples

Bachelor's degree in economics, statistics, engineering or industry-related fields required; graduate degree or MBA is a plus
3+ years’ experience in the data center industry
Expert analytic, logic, and quantitative skills
Polished written and oral communication
Experience with market segmentation and analysis; forecasting experience is a plus
Experience conducting primary or secondary research using a variety of tools (phone surveys, web, and publicly available documents like financial and regulatory reports)
Strong Excel experience including an understanding of Excel charts and pivot table creation and use as well as data modeling
Ability to manage multiple deadlines on a tight schedule
Experience with tracking service provider financials and subscribers a plus
Affinity for working in a dynamic team
Highly effective organizational and prioritization skills, including the ability to stay on task and maintain focus in a fast-paced environment and meet strict deadlines
Strong attention to detail with analytical and critical thinking abilities
Ability to professionally counsel and consult with clients
Ability and willingness to speak at conferences, events, and in media interviews
Self-motivation and natural curiosity are essential
Technical and commercial experience in the IT/Data Center infrastructure industry a plus
Proficiency with MS applications required (Excel, Word and PowerPoint); experience with databases helpful

Senior Analyst, Data Management Platforms Resume Examples & Samples

15%-Understand business objectives, data questions, and site-tagging problems to ensure accuracy of data capture
10%-Identify and prioritize strategic first, second, and third party data aggregation and activation opportunities to support interconnected marketing programs
Minimum 3 years of experience with Web Analytics (Adobe Site Catalyst) and Media Analytics
Agency experience
Previous experience with Omniture Sitecatalyst and related products
Strong communication and interpersonal skills, ability to work well with others

Senior Analyst, Data Insights Resume Examples & Samples

Work with Data Management Platform (DMP) partners and manage day-to-day onboarding of client data
Extract insights from data and effectively communicate to clients in relation to their goals and objectives. Share results from audience analytics reports with clients when available
Actively attend training sessions with various vendors and inquire about data and platform capabilities
Develop a strong overall understanding of the client’s business objective and demonstrate through campaign results how data targeting can help them achieve their business goals
1-2 years experience
Proficiency in Microsoft Office solutions
Highly organized with attention to detail

Senior Analyst, Data Engineering Resume Examples & Samples

1-4 years relevant experience with DW \ BI design and implementation
Requirements gathering, analysis & design of ETL processes, Data Warehouses, multi-dimensional databases and OLAP cubes
Delivering OLAP data to end users using Excel, PerformancePoint, Monitoring & Analytics and MDX
Experience with SharePoint and .Net Framework is a plus
General consulting skills, including: team facilitation and business case development
Pre-sales skills, including solution envisioning, building demonstration, estimate
First-class client interfacing skills and communication skills
Ability to travel up to 40-50%
Relevant Microsoft Training/Certifications preferred (MCAD .NET, MCSD .NET, MCDBA)

Senior Analyst, Data Architecture Resume Examples & Samples

Lead data strategy optimization for programmatic advertising clients to reach their performance goals. Communicate strategies, results and insights to both clients and internal teams
Request (or pull when available) audience analytics reports from various DSPs (Demand Side Platforms) and DMPs (Data Management Platforms) to proactively optimize campaigns and to share findings with clients
Work with DMP partners and assist in day-to-day management including the onboarding of client data
Assist in the development of client-facing audience performance reports
Attend presentations from DMP and DSP vendors and stay on top of the latest offerings and technologies
Participate in team meetings and knowledge sessions to share new strategies for optimizing data campaigns and to provide feedback on platform data performance
2-3 years, ideally in Ad-Tech in a client services / operations hybrid role
Familiarity with DSPs, DMPs, 3rd Party data, pixels and Ad Servers
Experience with customer acquisition goals and optimizing to CPA, CTR, Completion Rate, etc
Analytical and strategic thinker who excels in a fast-paced work environment

Senior Analyst, Data & Analysis Resume Examples & Samples

Providing analytic, integrated marketing solutions to improve client decision-making Designing and conducting smart analysis for recommendations
A four-year college education, and preferably a Master’s degree
2–4 years of experience in management consulting, advertising, or interactive consulting
An impressive understanding of the digital environment
Stellar communication skills: You’re articulate and concise – both verbally and in writing
Outstanding quantitative and research skills and proven data interpretation capabilities
Fluency with Microsoft Office and experience with SAS (preferred)

Senior Analyst, Data & Analytic Platforms Resume Examples & Samples

Have an investigative mindset towards data(in-house and public), proactively identify issues & potential value to the team, and operationalize those datasets for analytic use cases
Works closely with the Analytics team to build metrics & advanced dashboards/visualizations to support business objectives like profitability & persistency
Delivers artifacts, technical alternative documents and architectural design that meet business requirements
Implements process improvements to enable simplified, effective, automated, standardized analytical processes
Advises management and key stakeholders on design issues, capabilities, and/or system limitations; develops and recommends remediation plans
Maintains knowledge on current and emerging developments/trends for assigned area(s) of responsibility, assess the impact, and collaborates with management to incorporate new trends and developments in current and future solutions
Champions and enhances organizational initiatives by positively influencing and supporting change management and/or departmental/enterprise initiatives within assigned area(s) of responsibility
Serves as a resource to team members and applicable internal/external stakeholders on more complex assignments/projects for his/her assigned area(s) of responsibility
Lead the design, development and delivery of business-centric data & analytic solutions, including large scale data blending, wrangling and integration
5 - 7+ Years’ experience in analyzing, designing, developing and operationalizing data assets
Expertise in data & analytic process automation
Technology experience in a complex, multi-platform distributed environment
Strong knowledge of databases and related concepts and hands-on experience in delivery of visualizations, data marts and enterprise data assets
Strong technical knowledge and working exposure to a wide array of technology and data stacks in both traditional and big data space (e.g. Oracle, Greenplum, Netezza, Hadoop etc)
Knowledge of diverse and emerging technologies and new architectural concepts and principles
Knowledge and hands on experience on analytic tools (SAS/SPSS/R), visualization/BI tools (Tableau/Qlik) and data wrangling tools(Alteryx/Datameer)

Senior Analyst, Data Stewardship Resume Examples & Samples

Review and/or define specific data element business definition values in partnership with the business process owners, Data Governence Officers and information architects
Review and/or capture metadata, review profiling results, document data quality problems and establish data quality monitoring required to provide firmwide clarity/certification
Submit new elements and change requests to EDGA
Sr Analyst, Data Steward is expected to autonomously engage with assigned areas within the business operations to develop knowledge and subject matter expertise of the business process, system of record, authoritative sources and their usage
Define and monitor data quality business rules and data quality metrics in conjunction with the Consumers and Producers of data produced or consumed from their business functional area
Provide guidance within the BU on information sourcing, provisioning, consumption, standardization, and reporting & analytics
Participate in data related working group, May also lead groups
Key contact for data governance activities within the Business Unit (BU)
Participate in implementation of the Data Management Plan for their functional business area to ensure compliance with the TDA Data Management Policy and Data Standards
Autonomously identify data quality problems through profiling and advanced analysis and work with Sr. Manager Data Stewards and Data Governance Officers to prioritize problems
Ensures proper management of a data quality testing function that serves as a First Line of Defense for their functional business area
Clearly understands data quality dimensions, data profiling, data tracing, metadata management, lineage, data quality business rules, the discipline of data quality testing and of root cause analysis for issue management and resolution