Senior Market Access Specialist, Data and Analytics

Role Description

The Senior Market Access Specialist - Data and Analytics plays a critical role in enabling data-driven and AI-enabled decision-making across the Market Access organization and the Sales Field. This position is responsible for building end-to-end data and AI solutions — from raw data ingestion through analytics, visualization, predictive modeling, and storytelling — that make the organization smarter, more actionable, and better equipped to compete in the pharmaceutical industry.

The role leverages SQL, Power BI, AI/Generative AI (e.g., Microsoft Copilot, Azure OpenAI), and other modern analytics tools to transform fragmented pharma datasets into clear, decision-ready insights.

Key Responsibilities

• Data Solution Development:
  • Design, build, and maintain SQL-based data models and Power BI dashboards that integrate payer claims, EDI 852/867, copay, PAP, and specialty pharmacy data.
  • Develop automated, production-grade reporting solutions that replace manual spreadsheets and accelerate decision cycles.
  • Build self-service analytics products tailored to Market Access leaders, payer account managers, trade managers, and field sales teams.
  • Apply best-in-class data engineering practices (data validation, version control, documentation) to ensure scalability and reliability.
  • Embed AI and Generative AI capabilities into dashboards and solutions to enable conversational analytics and faster self-service insight discovery.
  • Prototype and operationalize machine learning models in partnership with IT and data science partners.
• Market Access Insights & Decision Support:
  • Analyze payer patient claims data to surface coverage trends, prior auth/step edit impact, prescription abandonment, and net price dynamics.
  • Mine wholesaler EDI 852 (inventory) and EDI 867 (sales-out) data to identify channel trends, demand signals, and inventory health across distribution partners.
  • Translate patient services data into actionable insights for patient experience improvement.
  • Partner with Payer Strategy, Trade, Patient Services, and Field Sales to define KPIs and answer the "so what" behind the data.
  • Leverage AI-driven anomaly detection and pattern recognition to proactively flag coverage shifts, channel disruptions, and patient access risks.
• Patient Journey & Specialty Pharmacy Analytics:
  • Build prescription journey analytics in partnership with specialty pharmacy partners.
  • Identify drop-off points, friction, and intervention opportunities across the patient journey.
  • Provide insights that inform copay program design, PAP eligibility expansion, and EMR/e-coupon optimization.
  • Apply predictive AI/ML models to identify patients at risk of abandonment or non-persistence.
• Gross-to-Net & Revenue Analytics:
  • Develop analytics that monitor gross-to-net drivers and surface variance early.
  • Support top-line growth analytics through demand forecasting, contract performance tracking, and pull-through measurement.
  • Partner with Finance and Government Pricing to ensure analytical consistency across reporting outputs.
  • Use AI-powered forecasting and scenario modeling to stress-test gross-to-net assumptions.
• Data Governance & Integrity:
  • Establish standardized business rules, definitions, and reporting logic across Market Access datasets.
  • Partner with IT, Master Data, and external data vendors to resolve quality issues and improve data freshness/completeness.
  • Maintain trusted, audit-ready datasets used in executive-level reporting.
  • Champion responsible AI principles in all AI-enabled solutions.

Qualifications

• BS / BA required (Master's preferred) in Data Science, Computer Science, Information Technology, Statistics, Applied Math, Economics, Information Systems, Business Administration, or related field.
• 5+ years of progressive experience in data analytics, business intelligence, or data engineering — preferably in pharmaceutical, life sciences, or healthcare environments.
• Hands-on experience with pharma data assets including payer claims, wholesaler EDI 852/867, specialty pharmacy data feeds, copay/PAP transactional data.
• Demonstrated experience designing and delivering production-grade Power BI dashboards and SQL-based data models.
• Working experience applying AI, machine learning, and/or Generative AI tools to deliver business solutions.
• Strong understanding of Market Access concepts including gross-to-net, payer coverage, formulary dynamics, prior authorization, prescription abandonment, and specialty distribution.

Requirements

• The approximate pay range for this position is $125,000.00 to $160,000.00.
• This position is not eligible for Visa Sponsorship.

Benefits

• Performance-based incentives and a competitive total rewards package.
• 401k with company match.
• Healthcare coverage and a broad range of other benefits.