Sr. Healthcare Informatics Analyst (Medicare Advantage)

About this role

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