Director​/Lead, Commercial Analytics & Forecasting, Biologics

Responsibilities:

• Lead data-driven analytics to support Go-to-Market strategy initiatives (Market Access, Channel, and field strategies).
• Segment and prioritize target payers and healthcare organizations to maximize product reach and acceptance.
• Lead market access analytics, including coverage and utilization analytics.
• Collect, analyze, and integrate data from primary/secondary sources (sales, forecast reports, payer coverage, claims) to inform forecast assumptions and insights.
• Develop product sales and profitability projections for portfolio evaluation, licensing/M&A, and long-range planning.
• Analyze therapy area/product variants, pricing, and brand life cycle; continuously assess marketplace dynamics, customers, and competitors.
• Track and analyze performance metrics (sales, market share, profitability).
• Present insights via clear data storytelling to commercial stakeholders.
• Lead commercial data management and develop measurement/feedback strategy for performance metrics.
• Design dashboards for launch and post-launch KPI monitoring.
• Execute forecasting for in-line and pipeline assets using advanced MS Excel forecasting models.
• Identify forecast risks/opportunities and propose methodologies.
• Provide ad-hoc analytics (launch scenarios, segmentation, demand projections, channel/product mix impact).
• Support primary market research when needed and deliver recommendations.
• Integrate primary research and secondary data to draw conclusions.
• Manage planned and ad-hoc analytics request flow for quality and timeliness.
• Collaborate with Market Access, Sales, Business Development, and matrix teams (Finance, Portfolio).
• Support pricing analytics (pricing/value proposition/competitive positioning), gross-to-net modeling, and competitive pricing analysis.

• Bachelor’s degree required;
  Master’s preferred.
• 3+ years Biotech/Pharma experience in commercial analytics and forecasting;
  Biologic/Biosimilar preferred.

• 3+ years experience in forecasting and/or analytics;
  Biologic/Biosimilar preferred.
• Strong forecasting and secondary data analytics; excellent MS Excel; SQL and Python a plus.
• Payer coverage analytics (MMIT or similar) and claims analytics (LAAD, Symphony, Doc Nexus or similar) highly preferred.
• IQVIA modules (NSP, NPA, DDD) desired; forecasting modules (IPD, Global Data, etc.).
• Extensive use of primary and secondary data; ability to connect analytics to business questions.
• Basic knowledge of biologics/biosimilars market, pricing, reimbursement;
  Buy&Bill knowledge a plus.
• Experience with launch monitoring dashboards a plus.
• Detail-oriented, works with less-than-perfect data; ability to prioritize multiple projects; agile/entrepreneurial mindset.