Job Details

The Data Analyst – Pharmacy Purchasing & Payer Analytics will 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.

This role is responsible for collecting, analyzing, interpreting, and presenting complex pharmacy, claims, purchasing, and financial data. The analyst will 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. Success in this role requires strong analytical thinking, technical expertise, and the ability to translate data into actionable business insights.

Responsibilities

Drug Purchasing & Cost Analysis

• 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.

• Develop analytical tools and dashboards to support purchasing decisions and monitor key performance indicators.

• Evaluate purchasing trends, utilization patterns, and product substitution opportunities to improve pharmacy profitability.

Payer & PBM Analytics

• 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.

• Monitor payer and PBM changes and assess financial and operational impacts on the organization.

• Develop reporting and dashboards that improve visibility into payer performance and reimbursement outcomes.

Data Analytics & Business Intelligence

• Collect, validate, cleanse, and analyze large healthcare, claims, purchasing, and operational datasets.

• Perform ad hoc analyses to support leadership decision-making and strategic initiatives.

• Partner with business stakeholders to identify opportunities for operational improvement through analytics and automation.

• Develop recurring reports, scorecards, and dashboards using business intelligence tools.

• Ensure data integrity and consistency across enterprise data sources and reporting environments.

• Guide data collection procedures and data governance efforts to support analytical initiatives.

Data Science & Process Automation

• Apply statistical techniques, predictive analytics, and machine learning methods to healthcare and pharmacy datasets.

• Develop algorithms and analytical models to support pharmacy operations, purchasing optimization, and claims analytics.

• Identify opportunities to automate manual reporting and analytical processes in collaboration with Finance and IT teams.

• Build scalable analytical solutions that support organizational growth and evolving business needs.

• Conduct data mining using advanced analytical techniques and tools.

Collaboration & Leadership

• Collaborate with Pharmacy Operations, Purchasing, Payer Relations, Finance, and IT teams.

• Present findings, recommendations, and business insights to stakeholders at multiple levels of the organization.

• Translate complex analytical results into clear, actionable recommendations.

• Embody AnewHealth's Core Values in all communications and interactions.

• Perform other duties as assigned.

Qualifications: The qualifications listed below represent the desired knowledge, skills, and abilities of the ideal candidate. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position.

Education

• 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.

Experience

• 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 performing PBM contract analytics, reimbursement modeling, payer performance analysis, and contract profitability assessments.

• 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.

Technical Skills

• 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.

• Experience analyzing pharmacy reimbursement and pricing benchmarks including NADAC (National Average Drug Acquisition Cost), AWP (Average Wholesale Price), WAC (Wholesale Acquisition Cost), MAC (Maximum Allowable Cost), and related pricing methodologies.

• Familiarity with data science libraries and tools such as Pandas, NumPy, Scikit-learn, Jupyter Notebooks, and related technologies.

Skills & Abilities

• 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.

Physical/Mental Requirements: This position is primarily administrative in nature and requires the ability to sit, stand, walk, see, hear, speak, and use standard office equipment for extended periods. The physical demands described are representative of those required to successfully perform the essential functions of this position. Occasional travel between company locations may be required. Additional hours may be necessary to meet business needs and project deadlines.

Schedule: This is a full-time position with an expectation of approximately 40 hours per week. Work schedules are established based on organizational needs and may require occasional availability outside normal business hours to support critical reporting, system implementations, or business initiatives.

This is a remote position.

AnewHealth offers a comprehensive benefit package for full-time employees that includesmedical/dental/vision, flexible spending, company-paid life insurance and short-term disability as well as voluntary benefits,401(k), Paid Time Off and paid holidays. Medical, dental and vision coverage are effective 1st of the month following date of hire.