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Population Health Data Quality Analyst
TelligenPopulation Health Data Quality Analyst improving data quality for Medicare and Medicaid populations with Telligen's health management solutions. Requires strong analytical skills and SQL experience.
Posted 5/18/2026full-timeRemote • District of Columbia, Iowa, Kansas, Maryland, Massachusetts, Mississippi, Montana, New York, Oklahoma, Pennsylvania, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $72,766 - $112,980 per yearWebsite
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Assess data sets for Medicare/Medicaid populations on dimensions such as accuracy, completeness, and duplication.
- Identify and analyze the scope of data quality issues within Medicare/Medicaid claims data.
- Resolve data quality issues promptly and effectively.
- Develop and recommend procedures or best practices to prevent the reoccurrence.
- Manage data within a relational database environment specific to Medicare/Medicaid populations.
- Perform detailed analysis, including pattern analysis, of health care activities and projects.
- Work collaboratively with cross-functional teams to support data-driven decision-making for Medicare/Medicaid healthcare quality programs.
Requirements
What you’ll need- Four-year degree in statistics, mathematics, Computer Science or related field and/or equivalent training and/or experience.
- Demonstrated experience using SQL.
- Experience with data analysis or design of analytical reports.
- Experience with Data Warehouse data mapping and problem solving.
- Ability to maintain regular and predictable attendance is essential.
- Senior-level requirements: Demonstrated 3+ years experience using SQL.
- 3+ years experience with data analysis or design of analytical reports.
Benefits
Comp & perks- Employee-owned company
- Commitment to community and client partnerships
- Corporate transparency and inclusive environment.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLdata analysisdata quality assessmentdata mappingrelational database managementpattern analysisanalytical report design
Soft Skills
collaborationproblem solvingattention to detailcommunication