Role Description
A 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:
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Utilization management
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Drug cost optimization
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Formulary performance
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Medication adherence
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Provider/member pharmacy engagement
This will be done in collaboration with Pharmacy, Clinical, Actuarial, Finance, and IT partners.
Key Responsibilities
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Lead the selection and application of pharmacy-focused analytic, evaluation, and BI methodologies to support business decisions and strategic planning.
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Leverage pharmacy claims data, PBM feeds, EDW, and non-EDW data sources to deliver actionable insights.
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Independently partner with business teams to define pharmacy analytics needs and develop predictive models, dashboards, utilization analyses, and performance metrics.
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Serve as a pharmacy analytics advisor on enterprise and cross-functional initiatives.
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Translate pharmacy business rules and policies into analytical models and reporting solutions, acting as a liaison between Pharmacy, Analytics, IT, and EIM teams.
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Perform peer data quality reviews to ensure accuracy, completeness, and consistency of pharmacy analytics output.
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Conduct advanced descriptive and statistical analyses related to drug utilization, adherence, cost drivers, and clinical outcomes.
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Ensure compliance with all applicable laws and regulations associated with pharmacy data and analytics.
Qualifications
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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).
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4+ years of healthcare analytics experience, with pharmacy or PBM analytics experience.
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Experience analyzing pharmacy claims, formulary performance, drug mix, utilization trends, rebates, and adherence metrics (PDC/MPR).
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Strong critical thinking, analytical, and problem-solving skills.
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Experience building predictive and explanatory models related to pharmacy utilization, cost, and outcomes.
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Advanced knowledge of SAS (including Enterprise Miner).
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Strong working knowledge of the U.S. healthcare system in a payer setting, with specific understanding of pharmacy benefits and PBM operations.
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Proficiency with SQL, SAS, R, Python, Tableau, or similar analytic/visualization tools.
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Databricks experience.
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Ability to translate complex pharmacy analytics into clear insights for executive, clinical, and technical audiences.
Nice-to-Have Skills
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Knowledge of pharmacy outcomes research, utilization management, and drug trend analysis.
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Domain expertise in pharmacy pricing and payment methodologies (AWP, WAC, MAC, rebates, trend drivers).
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Population health and pharmacy-driven interventions.
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Risk adjustment concepts and pharmacy's role in total cost of care.
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Clinical groupers and classification systems (GPI, NDC, therapeutic class, DRG, HCC).
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Pharmacy-related quality metrics (HEDIS medication measures, STAR ratings).
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Knowledge of commercial and Medicare Advantage pharmacy optimization.