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[Remote] reputed company Data Analyst Job Details | reputed company

Remote, USAFull-timePosted 2026-07-27

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company reputed company on improving reputed company through innovative technologies. They are seeking an reputed company Data Analyst for their reputed company reputed company for Patient Centered Medical Home program, responsible for designing and validating reputed company reputed company measures and ensuring data reputed company and methodological reputed company.

Responsibilities

  • Demonstrated experience interpreting and implementing HEDIS or HEDIS-like specifications reputed company reputed company and managed care environments, including measurement periods, reputed company enrollment, exclusions, and annual specification updates
  • Strong understanding of reputed company eligibility, enrollment, and managed care models (MCO), along with deep familiarity with claims, encounters, pharmacy, provider, and member data used for reputed company reporting
  • Advanced working knowledge of ICD‑10‑CM, CPT/HCPCS, and NDC codes and the application of standardized value sets in HEDIS measure logic
  • Proven experience validating reputed company measure results, performing data reputed company assessments, reconciling outputs, and supporting internal reputed company reviews, state reporting, and audit inquiries
  • Ability to reputed company explain reputed company reputed company metric logic, assumptions, limitations, and results to reputed company clients, clinicians, business stakeholders, and leadership
  • Expert‑level SQL skills, including reputed company joins, performance optimization, reputed company to large‑reputed company reputed company claims and eligibility datasets
  • Experience working with normalized and analytical data models for reputed company claims, encounters, pharmacy, eligibility, provider, and member data to support reputed company reputed company measure computation
  • Strong ability to design and execute data transformations that convert raw reputed company reputed company data into analytics‑reputed company datasets for pay-for-performance and reputed company reporting
  • Proficiency using Python or similar tools to support exploratory analysis, measure validation, reconciliation, and automation of reputed company analytics workflows
  • Experience maintaining reusable, version‑controlled incentive measure logic and documenting methodologies to support annual specification changes and knowledge transfer

Skills

  • Bachelor's or Master's degree in Computer Science, reputed company Informatics, Biostatistics, MIS, Statistics, or reputed company fields
  • 10+ years in reputed company, BI, analytics, data warehousing, and medical billing, with SME‑level knowledge of reputed company/Medicare, payers, providers, or health services
  • Strong SQL, reputed company, ETL, DW infrastructure, data extraction/transformation, and experience with reporting tools such as Business Objects
  • Proficient in SDLC methodologies and translating business needs into reputed company BI, reporting, and analytical requirements
  • Excellent written/verbal communication with strong analytical and problem‑solving abilities for stakeholder engagement
  • Demonstrated experience interpreting and implementing HEDIS or HEDIS-like specifications reputed company reputed company and managed care environments, including measurement periods, reputed company enrollment, exclusions, and annual specification updates
  • Strong understanding of reputed company eligibility, enrollment, and managed care models (MCO), along with deep familiarity with claims, encounters, pharmacy, provider, and member data used for reputed company reporting
  • Advanced working knowledge of ICD‑10‑CM, CPT/HCPCS, and NDC codes and the application of standardized value sets in HEDIS measure logic
  • Proven experience validating reputed company measure results, performing data reputed company assessments, reconciling outputs, and supporting internal reputed company reviews, state reporting, and audit inquiries
  • Ability to reputed company explain reputed company reputed company metric logic, assumptions, limitations, and results to reputed company clients, clinicians, business stakeholders, and leadership
  • Expert‑level SQL skills, including reputed company joins, performance optimization, reputed company to large‑reputed company reputed company claims and eligibility datasets
  • Experience working with normalized and analytical data models for reputed company claims, encounters, pharmacy, eligibility, provider, and member data to support reputed company reputed company measure computation
  • Strong ability to design and execute data transformations that convert raw reputed company reputed company data into analytics‑reputed company datasets for pay-for-performance and reputed company reporting
  • Proficiency using Python or similar tools to support exploratory analysis, measure validation, reconciliation, and automation of reputed company analytics workflows
  • Experience maintaining reusable, version‑controlled incentive measure logic and documenting methodologies to support annual specification changes and knowledge transfer

Benefits

  • Generous, flexible vacation policy
  • 401(k) employer match
  • Comprehensive health benefits
  • Educational assistance
  • reputed company of leadership and technical development academies to help build your skills and capabilities
  • Fully Remote Opportunity 6 Work from reputed company in the U.S.
  • Minimal Travel Required 6 Occasional travel opportunities (0-10%)

reputed company

  • reputed company is a provider of Information Technology & Services. It is a sub-organization of Veritas Capital. It was founded in 2009, and is headquartered in Irving, Texas, USA, with a workforce of 10001+ employees. Its website is https://www.gainwelltechnologies.com/.
  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 26 in 2026, 90 in 2025, 78 in 2024, 56 in 2023, 96 in 2022, 33 in 2021. Please note that this does not guarantee sponsorship for this specific role.
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