Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. Youâll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. Youâll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities.
⢠Summary
The Experienced Data Analyst â Medicaid Quality for Patient Centered Medical Home (PCMH) program role is an individual contributor position responsible for designing, computing, validating, and explaining healthcare quality measures used by state Medicaid agencies, Fee-For-Service (FFS) providers, and managed care organizations. This role serves as a subjectâmatter expert for PCMH measures translating complex technical requirements into accurate, auditâready measures using largeâscale Medicaid claims, eligibility, pharmacy, and provider datasets. This individual works independently to implement and maintain measure logic across annual specification updates, ensure data quality and methodological integrity, and support internal reviews, client reporting, and audit inquiries. In addition to strong technical execution, this role requires the ability to clearly communicate measure methodology, assumptions, and results to clinical, operational, and leadership stakeholders. The position plays a key role in ensuring Medicaid quality reporting is accurate, consistent, and aligned with regulatory and program objectives.
Your role in our mission
Medicaid Quality Measure Expertise: Demonstrated experience interpreting and implementing HEDIS or HEDIS-like specifications within Medicaid and managed care environments, including measurement periods, continuous enrollment, exclusions, and annual specification updates.
Medicaid Program & Data Domain Knowledge: Strong understanding of Medicaid eligibility, enrollment, and managed care models (MCO), along with deep familiarity with claims, encounters, pharmacy, provider, and member data used for quality reporting.
Clinical Coding & Value Set Proficiency: Advanced working knowledge of ICDâ10âCM, CPT/HCPCS, and NDC codes and the application of standardized value sets in HEDIS measure logic.
Measure Validation, QA & Audit Support: Proven experience validating quality measure results, performing data quality assessments, reconciling outputs, and supporting internal quality reviews, state reporting, and audit inquiries.
Stakeholder & Client Communication: Ability to clearly explain complex quality metric logic, assumptions, limitations, and results to Medicaid clients, clinicians, business stakeholders, and leadership.
Advanced SQL for Medicaid Analytics: Expertâlevel SQL skills, including complex joins, performance optimization, applied to largeâscale Medicaid claims and eligibility datasets.
Healthcare Data Modeling: Experience working with normalized and analytical data models for Medicaid claims, encounters, pharmacy, eligibility, provider, and member data to support scalable quality measure computation.
ETL & Data Transformation: Strong ability to design and execute data transformations that convert raw Medicaid source data into analyticsâready datasets for pay-for-performance and quality reporting.
Python (or Equivalent) for Analysis & Validation: Proficiency using Python or similar tools to support exploratory analysis, measure validation, reconciliation, and automation of quality analytics workflows.
Documented & VersionâControlled Measure Logic: Experience maintaining reusable, versionâcontrolled incentive measure logic and documenting methodologies to support annual specification changes and knowledge transfer.
What we're looking for
Bachelorâs or Masterâs degree in Computer Science, Healthcare Informatics, Biostatistics, MIS, Statistics, or related fields.
10+ years in healthcare reporting, BI, analytics, data warehousing, and medical billing, with SMEâlevel knowledge of Medicaid/Medicare, payers, providers, or health services.
Strong SQL, Oracle, ETL, DW infrastructure, data extraction/transformation, and experience with reporting tools such as Business Objects.
Proficient in SDLC methodologies and translating business needs into enterprise BI, reporting, and analytical requirements.
Excellent written/verbal communication with strong analytical and problemâsolving abilities for stakeholder engagement.
What you should expect in this role
Fully Remote Opportunity â Work from anywhere in the U.S.
Minimal Travel Required â Occasional travel opportunities (0-10%).
Video cameras must