Lead Data Analyst With Data Governance

Location: Reston, Va (Locals Va,Nynj,Md Only)

Duration: 8 Months

Description:

The Lead Analytics Analyst Is A Senior Member Of The Data Governance Team, Working Closely With The Data Governance Manager And Data Governance &Amp; Architecture Director To Design And Drive Various Data Governance Initiatives. The Lead Analytics Analyst Will Focus On One Or More Of The Following Data Governance Support Areas:

Data Governance Process And Stewardship Support

- Serve As An Expert Resource Supporting Data Questions And Issues From Data Consumers And Driving Issues To Resolution.

- Participate In And Assist In Facilitating The Cross-Functional Data Stewardship Forum.

- Drive Creation Data Policies, Processes, Standards And Data Governance Workflows.

- Provide Communication, Education, And Assistance In Support Of Operational Roll-Out Of Data Governance Processes.

Data Quality Support

- Perform Detailed Data Quality Analysis In A Large And Complex Data Environment Across A Range Of Technologies Including Relational Database And Big Data Platforms.

- Investigate Data Issues And Determine Root Causes And Recommendations For Resolutions, Including Production Support Related Items Requiring Urgent Attention. Summarize And Present Findings And Recommendations For Various Levels Of Technical And Business Audiences.

- Perform Extensive Data Profiling Across Large Data Sets To Assess Current State Data Quality Across Large Volumes Of Data Attributes.

- Develop Data Cleansing Strategies And Work With Technical Teams To Implement Data Cleansing Methods.

- Working With Business And Technical Stakeholders, Define Data Quality Requirements, Rules, And Thresholds.

- Working With Data Architecture Team To Implement Data Standards In Response To Data Quality Issues, Needs, And Findings.

- Develop Framework And Methodology For Ongoing Data Quality Assessment, Monitoring, Measurement, And Reporting Including Technical And Business Process Aspects.

- Work With Data Quality Tool And Development Resources To Develop Strategy And Planning For Data Quality Tool Use And Implementation.

Metadata Support

- Perform Detailed Metadata Analysis In A Large And Complex Data Environment Across A Range Of Technologies Including Relational Database And Big Data Platforms.

- Working With Business And Technical Resources And Stakeholders, Facilitate The Creation And Capture Of Business Level, Technical Level, And Data Lineage Metadata.

- Define And Document Business And Technical Metadata; Perform Analysis And Research To Harmonize Terms And Definitions Across Systems And Business Areas.

- Perform Data Element Classification And Mapping To Business Uses And Impacts.

- Develop Framework And Methodology For Ongoing Capture And Maintenance Of Business And Technical Metadata.

- Work With Metadata Tool And Development Resources To Develop Strategy And Planning For Metadata Tool Use And Implementation.

Reference Data Support:

- Perform Research And Analysis Related To Reference Data Elements Across The Systems/Data Landscape.

- Work With Business And Technical Smes To Understand Reference Data Sources, Uses, And Value Sets.

- Develop Reference Data Catalog Documentation Including Data Flow And Process Diagrams And Reference Data Update And Maintenance Procedures.

- Work With Data Governance And Data Architecture Leadership To Develop Strategy And Architecture For Centralized Reference Data Repository.

- Work With Reference Data Tool Experts And Development Resources To Implement Reference Data Repository Strategy.

Key Skills Required:

- 8+ Years’ Experience In Data Governance, Data Analyst, Or Data Quality Roles.

- Strong Data Background And Understanding With Excellent Data Analysis And Problem-Solving Skills Including But Not Limited To Strong Sql Skills And Relational Database Understanding.

- Demonstrated Experience With Data Governance, Standards, And Quality Concepts With The Ability To Develop Practical Application Of Concept Intent.

- Strong Understanding Of Database, Data Integration, Data Transfer, Reporting And Business Intelligence Technologies Across Various Platforms With Ability To Learn New Technologies Quickly.

- Hands-On Experience With Waterfall And Agile Sdlc Methodologies.

- Excellent Communication Skills And Ability To Work Across The Organization With Resources Of All Levels Both Technical And Business.

- Ability To Lead Problem-Solving Discussions, Take Ownership Of Issues And Drive Them To Resolution.

- Ability To Learn Internal Business And Data Processes And Become A Subject-Matter Expert For One Or More Data Areas.

- Ability To Come Up To Speed Quickly On Urgent Issues.

- Ability To Work Independently And As Part Of A Team.

- Highly Desired: Strong Background In Healthcare With Expertise In One Or More Operational Domains Of Healthcare Data (E.G., Eligibility/Enrollment, Claims, Provider)

Mahesh