Purchasing Analyst

AnewHealthOH - Remote, OH
Remote

About The Position

AnewHealth is one of the nation’s leading pharmacy care management companies that specializes in caring for people with the most complex, chronic needs—wherever they call home. We enable better outcomes for patients and the healthcare organizations who support them. Established in 2023 through the combination of ExactCare and Tabula Rasa HealthCare, we provide a suite of solutions that includes comprehensive pharmacy services; full-service pharmacy benefit management; and specialized support services for Program of All-Inclusive Care for the Elderly. With over 1,400 team members, we care for more than 100,000 people across all 50 states. 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.

Requirements

  • Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, Healthcare Administration, Finance, Economics, or a related field required.
  • 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.
  • 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 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.
  • 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.

Nice To Haves

  • Master's degree preferred.
  • Experience with statistical analysis, predictive modeling, and data science methodologies preferred.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Benefits

  • medical/dental/vision
  • flexible spending
  • company-paid life insurance
  • short-term disability
  • voluntary benefits
  • 401(k)
  • Paid Time Off
  • paid holidays
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