Partner with Pharmacy Operations, Purchasing, Payer Relations, Finance, and IT teams to develop data-driven solutions that improve drug purchasing performance, optimize payer reimbursement outcomes, and support strategic decision-making across the organization
Collect, analyze, interpret, and present complex pharmacy, claims, purchasing, and financial data
Design reporting frameworks, identify opportunities for cost savings and margin improvement, automate business processes, and support the organization's growing data science and analytics capabilities
Design, implement, and maintain Cost of Goods Sold (COGS) and drug purchasing analyses across all pharmacy locations
Develop and manage reporting that supports purchasing strategy, inventory optimization, and vendor performance management
Analyze drug purchasing records for pricing discrepancies, contract compliance issues, rebate opportunities, and vendor changes
Identify and recommend purchasing strategies to optimize performance against wholesaler and manufacturer contracts
Create and maintain daily, monthly, quarterly, and annual payer and PBM performance reports for Payer Relations, Finance, and Operations teams
Analyze reimbursement trends, payer contract performance, and other pharmacy reimbursement metrics
Support payer contract negotiations by providing financial modeling, reimbursement analyses, and performance insights
Collect, validate, cleanse, and analyze large healthcare, claims, purchasing, and operational datasets
Develop recurring reports, scorecards, and dashboards using business intelligence tools
Apply statistical techniques, predictive analytics, and machine learning methods to healthcare and pharmacy datasets
Build scalable analytical solutions that support organizational growth and evolving business needs
Collaborate with Pharmacy Operations, Purchasing, Payer Relations, Finance, and IT teams and present findings, recommendations, and business insights to stakeholders at multiple levels of the organization
Requirements
Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, Healthcare Administration, Finance, Economics, or a related field required
Master's degree preferred
3+ years of experience in healthcare, pharmacy, managed care, PBM, payer analytics, financial analytics, or related analytical environments
Experience working with healthcare claims, pharmacy dispensing data, reimbursement data, drug purchasing data, and pharmacy financial performance metrics
Experience analyzing pharmacy reimbursement methodologies, including NADAC, AWP, WAC, MAC pricing, dispensing fees, rebates, and other pharmacy pricing and reimbursement components
Experience developing dashboards, automated reporting solutions, forecasting models, and analytical tools to support business decision-making
Experience collaborating with business, operational, financial, and technical stakeholders
Experience with statistical analysis, predictive modeling, and data science methodologies preferred
Advanced proficiency in Microsoft Excel, including Power Query, PivotTables, complex formulas, and financial modeling
Strong SQL and database management skills
Experience with Python for data analysis, automation, statistical modeling, and machine learning
Experience with Databricks or similar cloud-based analytics platforms
Experience with business intelligence and visualization tools such as Tableau, Power BI, or similar platforms
Familiarity with data science libraries and tools such as Pandas, NumPy, Scikit-learn, Jupyter Notebooks, and related technologies
Strong understanding of pharmacy operations, drug purchasing, reimbursement methodologies, and payer/PBM contracting
Knowledge of PBM contract structures, reimbursement formulas, generic effective rate calculations, spread pricing, audit processes, and contract performance monitoring
Understanding of pharmacy financial metrics, including Cost of Goods Sold (COGS), Cost-to-Fill, gross margin analysis, reimbursement variance analysis, and profitability modeling
Knowledge of pharmaceutical pricing benchmarks, including NADAC, AWP, WAC, MAC pricing, and their impact on pharmacy purchasing and reimbursement performance
Strong analytical and problem-solving skills with exceptional attention to detail
Ability to interpret complex datasets and translate findings into actionable business recommendations
Excellent verbal, written, and presentation skills
Ability to manage multiple priorities and meet deadlines in a fast-paced environment
Strong organizational and project management skills
Ability to work independently and collaboratively across departments.
Tech Stack
Cloud
Numpy
Pandas
Python
Scikit-Learn
SQL
Tableau
Benefits
medical/dental/vision
flexible spending
company-paid life insurance and short-term disability