Strategic Staffing Solutions

Senior Healthcare Informatics Analyst – Pharmacy Analytics

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Healthcare Informatics Analyst – Pharmacy Analytics, offering a 6-month remote contract at $45-$50/hour. Requires a Bachelor's in a related field, 4 years of healthcare analytics experience, and proficiency in Databricks, SQL, and SAS.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
400
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🗓️ - Date
July 17, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Classification #Data Quality #Statistics #Visualization #Datasets #Computer Science #Python #Compliance #Databricks #R #SAS #BI (Business Intelligence) #SQL (Structured Query Language) #Tableau #Trend Analysis
Role description
Senior Healthcare Informatics Analyst – Pharmacy Analytics Location : Remote Contract: 6 Months Rate: $45-$50/Hour Job Profile Summary The Senior Healthcare Informatics Analyst position is pharmacy-centric and requires experience with Databricks, SQL, and SAS. Pharmacy Analytics independently provides advanced analytics to support understanding and improvement of pharmacy benefit utilization, cost, quality, and clinical outcomes. This role develops analytic attributes related to pharmacy utilization management, drug cost optimization, formulary performance, medication adherence, and provider/member pharmacy engagement. In collaboration with Pharmacy, Clinical, Actuarial, Finance, and IT partners, this position leads complex problem solving, solution development, and data-driven strategic decision making. Accountable for compliance with all applicable laws and regulations associated with pharmacy data and analytics responsibilities. Position Purpose The Senior Healthcare Informatics Analyst – Pharmacy Analytics independently designs and delivers analytics that improve how pharmacy services are valued, utilized, and provided. This role develops patient- and provider-level analytics including pharmacy utilization and outcomes, medication adherence and persistence, formulary and rebate optimization, pharmacy cost management, and pharmacy-driven quality measures. The analyst supports enterprise initiatives across Pharmacy Operations, Medical Management, Actuarial, and Clinical teams, serving as a subject matter expert in pharmacy analytics and translating complex business questions into actionable insights. Nature and Scope This role does not manage people. Key Business Partners To effectively fulfill this position, the incumbent will collaborate with: • Pharmacy Operations • PBM Partners • Clinical Solutions • Actuarial • Provider Reimbursement • Payment Innovation • Information Technology • Marketing • External Vendors • Health Plan Partners Qualifications Education • Bachelor's degree in Healthcare Administration, Pharmacy, Public Health, Statistics, Economics, Analytics, Computer Science, or a related field required. • Master's degree in a related field preferred. • Four years of related experience may substitute for a Bachelor's degree. Work Experience • Four (4) years of healthcare analytics experience, with pharmacy or PBM analytics experience strongly preferred. • Experience analyzing pharmacy claims, formulary performance, drug mix, utilization trends, rebates, and adherence metrics (PDC/MPR). • A Master's degree may substitute for two years of required experience; a Doctorate may substitute for an additional two years. Skills and Abilities • Strong critical thinking, analytical, and problem-solving skills. • Experience building predictive and explanatory models related to pharmacy utilization, cost, and outcomes. • Knowledge of pharmacy outcomes research, utilization management, and drug trend analysis preferred. • Advanced knowledge of SAS (including Enterprise Miner) preferred. • Strong working knowledge of the U.S. healthcare system in a payer setting, with specific understanding of pharmacy benefits and PBM operations. Technical Skills Proficiency with: • Databricks • SQL • SAS • Python • R • Tableau • Other analytics and visualization tools Desired Domain Expertise • 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 including GPI, NDC, therapeutic class, DRG, HCC, and related models • Pharmacy-related quality metrics including HEDIS medication measures and STAR Ratings • Knowledge of commercial and Medicare Advantage pharmacy optimization • Excellent verbal and written communication skills • Ability to translate complex pharmacy analytics into clear insights for executive, clinical, and technical audiences Accountabilities and Essential Functions • Lead the selection and application of pharmacy-focused analytic, evaluation, and business intelligence methodologies to support business decisions and strategic planning. • Leverage pharmacy claims data, PBM feeds, enterprise data sources, and external datasets 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 while acting as a liaison between Pharmacy, Analytics, IT, and Enterprise Information Management 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. Additional Information • Performs other job-related duties as assigned within the scope of responsibility. • Work is performed in a standard office environment. • Position is primarily sedentary. • Ability to analyze, interpret, document, and communicate complex data is required.