Sr. Healthcare Informatics Analyst (Medicare Advantage)

Job Title: Sr. Healthcare Informatics Analyst (Medicare Advantage) Location: 100% Remote (candidate must reside in an approved state: AL, AR, DE, FL, GA, ID, IN, IA, KS, KY, MS, MO, NH, NE, NC, OK, SC, SD, TN, TX, UT, VA, WV, WI) Company Overview Glint Tech Solutions is a women-owned, global IT staffing and recruiting firm serving enterprise clients across the USA and Canada. Project Description A leading healthcare payer client is seeking a Senior Healthcare Informatics Analyst who will independently provide analytics to understand and improve how healthcare is valued, utilized, and provided. This role develops analytic attributes related to patient-level health utilization/outcomes, provider performance measures, risk-adjusted revenue optimization, medical cost management, and patient/provider engagement behavior, collaborating with business areas and IT to lead problem solving, solution development, and strategic planning. Key Responsibilities Independently provide analytics to understand and improve how healthcare is valued, utilized, and provided Develop analytic attributes pertaining to patient-level health utilization/outcomes, provider performance measures, and risk-adjusted revenue optimization Support medical cost management and analysis of patient/provider engagement behavior attributes Lead problem solving, solution development, and strategic planning in collaboration with other business areas and IT Ensure compliance with all laws and regulations associated with duties and responsibilities Mandatory Skills Healthcare experience required, with Medicare Advantage trend analysis experience Bachelor's degree in healthcare administration, statistics, economics, analytics, or computer science (4 years of relevant experience may substitute; Master's preferred) 4+ years of healthcare, analytics, IT, or management consulting experience Strong critical thinking, analytical, and problem-solving skills Experience building predictive models Strong knowledge of SQL, SAS, R, Python, Tableau, or similar query/analytic/visualization tools Basic knowledge of the U.S. healthcare delivery system in a payer or provider setting Nice-to-Have Skills Strong knowledge of outcome research design and controlled study design Advanced knowledge of SAS, including Enterprise Miner Strong understanding of provider payment methodologies, population health management, and risk adjustment Strong understanding of clinical groupers, including episode and risk groupers (DRG, APC, ETG, MEG, DxCG, HCC) Strong understanding of quality metrics (HEDIS, AHRQ) Knowledge of commercial risk optimization and MA risk optimization Originally posted on Himalayas