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Senior Healthcare Informatics Analyst (Pharmacy Analytics)

Role overview

Qualifications

  • Bachelor's degree in healthcare administration, pharmacy, public health, statistics, economics, analytics, computer science, or related field
  • 4+ years of healthcare analytics experience, with pharmacy or PBM analytics experience
  • Strong critical thinking, analytical, and problem-solving skills
  • Advanced knowledge of SAS (including Enterprise Miner)

Responsibilities

  • Lead the selection and application of pharmacy-focused analytic, evaluation, and BI methodologies
  • Leverage pharmacy claims data and non-EDW data sources to deliver actionable insights
  • Independently partner with business teams to define pharmacy analytics needs
  • Ensure compliance with all applicable laws and regulations associated with pharmacy data and analytics

About the company

GTS Technology Solutions logo

GTS Technology Solutions

IT Services & IT Consulting

Unknown

Company details

IndustryIT Services & IT Consulting
Company size51 - 200

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Job description

Job Title: Senior Healthcare Informatics Analyst (Pharmacy Analytics)
Visa: USC, GC
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 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

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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