As a Population Health Data Quality Analyst, you will be responsible for evaluating data sets specific to Medicare and Medicaid populations on various dimensions of data quality such as accuracy, completeness, and duplication of data. You will analyze the scope of data quality issues, resolve them, and recommend procedures or best practices to prevent reoccurrence. This role requires a strong knowledge of Medicare/Medicaid claims data and the ability to manage data in a relational database environment. You will perform in-depth analysis, including pattern analysis, of health care activities and projects related to Medicare/Medicaid populations. Additionally, you will assist with complex data loads, queries, stored procedures, and processes to maintain data integrity within the database.

This position may be filled at either an entry-level or senior level, depending on the candidate’s experience and qualifications.
This is a remote position; however, candidates must live in Iowa, Kansas, Massachusetts, Maryland, Mississippi, Missouri, Nebraska, Oklahoma, Pennsylvania, or Washington, DC to be eligible.
What You'll Do:

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

Required Skills and Experience:

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

Preferred Skills and Experience:

Experience in health care HEDIS quality measures, analysis or research preferred, specifically Health Care Claims Data
Preferred experience with two or more of the following: SQL Server, Redshift or Postgres

Who We Are:
Telligen is one of the most respected population health management organizations in the country. We work with state and federal government programs, as well as employers and health plans offering clinical, analytical, and technical expertise.

Over our 50-year history, health care has evolved - and so have we. What hasn't changed is our deep commitment to those we serve. Our success is built on our ability to adapt, respond to client needs and deliver innovative, mission-driven solutions.

Our business is our people and we’re seeking talented individuals who share our passion and are ready to take ownership, make an impact and help shape the future of health.

Are you Ready?
We’re on a mission to transform lives and economies by improving health.

Ownership: As a 100% employee-owned company, our employee-owners drive our business and share in our success.

Community: We show up - for our clients, our communities and each other. Being a responsible corporate partner is part of who we are.

Ingenuity: We value bold ideas and calculated risks. Innovation thrives when we challenge the status quo and listen to diverse perspectives.

Integrity: We foster a respectful, inclusive, and collaborative environment built on trust and excellence.

Thank you for your interest in Telligen!
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While we use artificial intelligence tools to enhance our initial screening process, all applications are thoroughly reviewed by our human recruitment team to ensure a fair and comprehensive evaluation of each candidate.

Telligen and our affiliates are Equal Opportunity Employers and E-Verify Participants.

Telligen will not provide sponsorship for this position. If you will require sponsorship for work authorization now or in the future, we cannot consider your application at this time. We will not accept 3rd party solicitations from outside staffing firms.

Telligen is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, protected veteran status, disability or any other protected class.

Telligen is committed to ensuring that our employment process is open to all individuals, and provides reasonable accommodations to individuals who need assistance during any part of the employment process due to a disability, medical condition, or physical or mental impairment. Reasonable accommodations are considered on a case-by-base basis.

If you need assistance to navigate Telligen’s careers website or to apply for a position, please send an email to careers@telligen.com

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The salary for this role will be determined based on a combination of factors, including:

Knowledge, Skills, and Abilities (KSA): depth and relevance of experience in Medicaid programs, quality measurement, data analytics, account leadership, and program management
Education and Credentials: including advanced degrees and relevant professional certifications
Scope and Complexity: experience leading large, multi‑scope government or healthcare contracts and managing cross‑functional teams
Internal Equity: alignment with current roles of similar responsibility, experience level, and impact within the organization
Market Considerations: geographic location and competitive market data

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Population Health Data Quality Analyst