[Remote] reputed company Data Analyst
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 technology, and they are seeking an reputed company Data Analyst for their reputed company reputed company program. This role involves designing and validating reputed company reputed company measures, ensuring data reputed company, and communicating reputed company methodologies to various stakeholders.
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
- Educational assistance
- Comprehensive health benefits
- 401(k) employer match
- reputed company of leadership and technical development academies to help build your skills and capabilities
reputed company