Senior Healthcare Informatics Analyst (Pharmacy Analytics)
Required skills
- Senior Healthcare Informatics Analyst
- Pharmacy Analytics
- healthcare payer
- pharmacy benefit utilization
- drug cost optimization
- formulary performance
- medication adherence
- provider/member pharmacy engagement
- pharmacy claims data
- PBM feeds
Nice to have
- pharmacy outcomes research
- utilization management
- drug trend analysis
- pharmacy pricing
- payment methodologies
- AWP
Role summary
Glint Tech Solutions is seeking a Senior Healthcare Informatics Analyst for a leading healthcare payer client. This fully remote role focuses on advanced pharmacy analytics to improve utilization, cost, quality, and clinical outcomes. The analyst will leverage pharmacy claims data, PBM feeds, and EDW to develop insights, predictive models, and dashboards. Key responsibilities include defining analytics needs, advising on initiatives, performing data quality reviews, and ensuring regulatory compliance. Required skills include a Bachelor's degree or equivalent experience, 4+ years of healthcare analytics experience with a focus on pharmacy or PBM, proficiency in SAS, SQL, R, Python, Tableau, Databricks, and a strong understanding of the U.S. healthcare payer system and PBM operations.
Job Title: Senior Healthcare Informatics Analyst (Pharmacy Analytics)Visa: USC, GCLocation: 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 OverviewGlint Tech Solutions is a women-owned, global IT staffing and recruiting firm serving enterprise clients across the USA and Canada.
Project DescriptionA leading healthcare payer client is seeking a Senior Healthcare Informatics Analyst to support a pharmacy-centric environment. The selected candidate will independently provide advanced analytics to support understanding and improvement of pharmacy benefit utilization, cost, quality, and clinical outcomes, developing analytic attributes related to utilization management, drug cost optimization, formulary performance, medication adherence, and provider/member pharmacy engagement in collaboration with Pharmacy, Clinical, Actuarial, Finance, and IT partners.
Key Responsibilities
- Lead the selection and application of pharmacy-focused analytic, evaluation, and BI methodologies to support business decisions and strategic planning
- Leverage pharmacy claims data, PBM feeds, EDW, and non-EDW data sources to deliver actionable insights
- Independently partner with business teams to define pharmacy analytics needs and develop predictive models, dashboards, utilization analyses, and performance metrics
- Serve as a pharmacy analytics advisor on enterprise and cross-functional initiatives
- Translate pharmacy business rules and policies into analytical models and reporting solutions, acting as a liaison between Pharmacy, Analytics, IT, and EIM teams
- Perform peer data quality reviews to ensure accuracy, completeness, and consistency of pharmacy analytics output
- Conduct advanced descriptive and statistical analyses related to drug utilization, adherence, cost drivers, and clinical outcomes
- Ensure compliance with all applicable laws and regulations associated with pharmacy data and analytics
Mandatory Skills
- Bachelor's degree in healthcare administration, pharmacy, public health, statistics, economics, analytics, computer science, or related field (4 years of relevant experience may substitute; Master's may substitute for 2 years, Doctorate for an additional 2 years)
- 4+ years of healthcare analytics experience, with pharmacy or PBM analytics experience
- Experience analyzing pharmacy claims, formulary performance, drug mix, utilization trends, rebates, and adherence metrics (PDC/MPR)
- Strong critical thinking, analytical, and problem-solving skills
- Experience building predictive and explanatory models related to pharmacy utilization, cost, and outcomes
- Advanced knowledge of SAS (including Enterprise Miner)
- Strong working knowledge of the U.S. healthcare system in a payer setting, with specific understanding of pharmacy benefits and PBM operations
- Proficiency with SQL, SAS, R, Python, Tableau, or similar analytic/visualization tools
- Databricks experience
- Ability to translate complex pharmacy analytics into clear insights for executive, clinical, and technical audiences
Nice-to-Have Skills
- Knowledge of pharmacy outcomes research, utilization management, and drug trend analysis
- Domain expertise in pharmacy pricing and payment methodologies (AWP, WAC, MAC, rebates, trend drivers)
- Population health and pharmacy-driven interventions
- Risk adjustment concepts and pharmacy's role in total cost of care
- Clinical groupers and classification systems (GPI, NDC, therapeutic class, DRG, HCC)
- Pharmacy-related quality metrics (HEDIS medication measures, STAR ratings)
- Knowledge of commercial and Medicare Advantage pharmacy optimization
Originally posted on Himalayas
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