Population Health Data Quality Analyst

Telligen

Population Health Data Quality Analyst evaluating data sets for Medicare and Medicaid. Responsible for quality assurance and managing data integrity in a hybrid work environment.

Posted 5/18/2026full-timeMaryland • 🇺🇸 United StatesMid-LevelSenior💰 $66,702 - $103,565 per yearWebsite

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Data Quality Evaluation: 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.
Issue Resolution: Resolve data quality issues promptly and effectively. Develop and recommend procedures or best practices to prevent the reoccurrence of data quality issues.
Data Management: Manage data within a relational database environment specific to Medicare/Medicaid populations. Ensure data integrity and maintain the database through complex data loads, queries, stored procedures, and processes.
Data Analysis: Perform detailed analysis, including pattern analysis, of health care activities and projects related to Medicare/Medicaid populations. Utilize strong knowledge of Medicare/Medicaid claims data to inform analysis and recommendations.
Collaboration and Support: Work collaboratively with cross-functional teams to support data-driven decision-making for Medicare/Medicaid healthcare quality programs. Provide assistance and guidance on data-related issues to team members and stakeholders.
Performs miscellaneous duties as assigned.

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.
Because of the nature and immediacy of the work, the 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

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data quality evaluationdata managementdata analysisSQLdata mappingrelational databasepattern analysisanalytical reportsdata integritycomplex data loads

Soft Skills

issue resolutioncollaborationsupportcommunicationproblem solvingteamworkguidancedecision-makingattention to detailpredictable attendance

Certifications

four-year degree in statisticsfour-year degree in mathematicsfour-year degree in computer science