
Experienced Data Analyst
Gainwell Technologies · Arkansas, United States
- Hybrid
- Full-time
- $100,000 / year
- Arkansas, United States
Job highlights
- Design, compute, and explain healthcare quality measures.
- Utilize large-scale Medicaid claims and eligibility data.
- Interpret HEDIS specifications for Medicaid environments.
- Validate quality measure results and support audits.
- Communicate complex data insights to stakeholders.
About the role
About Gainwell Technologies
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. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You’ll 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 – 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 subject‑matter expert for PCMH measures translating complex technical requirements into accurate, audit‑ready measures using large‑scale 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 ICD‑10‑CM, 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: Expert‑level SQL skills, including complex joins, performance optimization, applied to large‑scale 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 analytics‑ready 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 & Version‑Controlled Measure Logic: Experience maintaining reusable, version‑controlled incentive measure logic and documenting methodologies to support annual specification changes and knowledge transfer.
What We're Looking For
Bachelor’s or Master’s 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 SME‑level 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 problem‑solving abilities for stakeholder engagement.
What You Should Expect In This Role
Fully Remote Opportunity – Work from anywhere in the U.S. Minimal Travel Required – Occasional travel opportunities (0-10%). Video cameras must be used during all interviews, as well as during the initial week of orientation. The deadline to submit applications for this posting is July 30, 2026.
The pay range for this position is $81,100.00 - $115,900.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You’ll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities.
We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You’ll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings.
Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines “wages” and “wage rates” to include “all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.
Key skills/competency
- Experienced Data Analyst
- Medicaid Quality
- HEDIS Specifications
- SQL
- Healthcare Data Analysis
- ETL
- Data Modeling
- Python
- Quality Measures
- Stakeholder Communication
Skills & topics
- Data Analyst
- Medicaid
- Healthcare Quality
- HEDIS
- SQL
- ETL
- Data Modeling
- Python
- Analytics
- Reporting
How to get hired
- Tailor your resume: Highlight your 10+ years of healthcare reporting, Medicaid/Medicare, and data analysis experience, emphasizing SQL and ETL skills.
- Showcase relevant expertise: Detail your experience with HEDIS-like specifications, clinical coding, and validating quality measures for state Medicaid agencies.
- Quantify achievements: Use data and metrics to demonstrate the impact of your analytical work on quality reporting and audit support.
- Prepare for technical questions: Be ready to discuss complex SQL queries, healthcare data modeling, and Python for data validation.
- Articulate communication skills: Practice explaining technical concepts clearly to both clinical and leadership stakeholders.
Technical preparation
Behavioral questions
Frequently asked questions
- What specific healthcare quality measures will I be working with as an Experienced Data Analyst at Gainwell Technologies?
- As an Experienced Data Analyst specializing in Medicaid Quality at Gainwell Technologies, you will focus on Patient Centered Medical Home (PCMH) program measures. This involves interpreting and implementing HEDIS or HEDIS-like specifications within Medicaid and managed care environments, ensuring accuracy and alignment with regulatory objectives for state Medicaid agencies, FFS providers, and MCOs.
- What type of data will I use in this Data Analyst role at Gainwell Technologies?
- You will work with large-scale Medicaid datasets, including claims, eligibility, pharmacy, provider, and member data. Experience with normalized and analytical data models for these sources is crucial for quality measure computation and reporting.
- How important is SQL for the Experienced Data Analyst position at Gainwell Technologies?
- Expert-level SQL skills are critical for this role. You'll be expected to perform complex joins, optimize query performance, and apply these skills to analyze large Medicaid claims and eligibility datasets for quality reporting and analytics.
- What is the educational background typically required for a Data Analyst at Gainwell Technologies?
- Gainwell Technologies typically looks for candidates with a Bachelor’s or Master’s degree in fields such as Computer Science, Healthcare Informatics, Biostatistics, MIS, or Statistics for this type of role.
- Can I work remotely in this Experienced Data Analyst role at Gainwell Technologies?
- Yes, this is a fully remote opportunity, allowing you to work from anywhere within the United States. While the role is remote, video cameras are required during interviews and the initial week of orientation.
- What is the expected career development for a Data Analyst at Gainwell Technologies?
- Gainwell Technologies emphasizes career development, offering opportunities to grow your career through technical credentials, certifications, and access to comprehensive leadership and technical development academies. They also provide educational assistance.
- How does Gainwell Technologies approach data quality and validation for Medicaid measures?
- The role involves significant responsibility for measure validation, performing data quality assessments, reconciling outputs, and supporting internal reviews, state reporting, and audit inquiries to ensure methodological integrity and accuracy.
- What level of experience is needed for this Data Analyst job at Gainwell Technologies?
- This role requires a significant level of experience, specifically 10+ years in healthcare reporting, BI, analytics, data warehousing, and medical billing, with subject matter expert knowledge in Medicaid/Medicare or related health services.