Associate Director, Quantitative Analytics & Insights

Responsibilities

• Serve as a primary insights partner to Commercial leadership
• Proactively identify business challenges and translate them into analytics-driven solutions
• Lead analytics for portfolio optimization, therapeutic area (TA) strategy, and in-line brand performance
• Personally develop and oversee the creation of sophisticated scenario models, competitive assessments, and demand forecasts
• Inform long-range planning, launch strategy, and supply/channel mix decisions
• Design and implement advanced models for commercial effectiveness (e.g., Mix Modeling, Sales Force Effectiveness/SFE, cross-channel analytics) to measure ROI and optimize resource allocation
• Act as the primary "storyteller," translating complex analyses from disparate data sources into a clear, compelling, and actionable narrative for senior leadership
• Be a hands‑on, collaborative leader, working with data teams to integrate fragmented data sources into a holistic view of the business

• Advanced Degree (MS, PhD, or MBA) in a quantitative field such as Data Science, Statistics, or Economics is strongly preferred
• 7+ years of progressive experience in the pharmaceutical, biopharma, life sciences consulting or agency space
• 4 - 6+ years of dedicated experience in a hands‑on commercial analytics, data science, decision support, or insights function
• Experience in the rare disease, plasma‑derived therapies, or specialty biologics market is a significant advantage
• Hands‑on proficiency with SQL is required
• High‑level proficiency in a data science language (Python or R) and data visualization tools (Tableau or Power BI) is strongly preferred
• Deep familiarity with US pharmaceutical data sources (e.g., IQVIA, Komodo, Symphony, patient‑level data (PLD), specialty pharmacy/distributor data)
• Demonstrated mastery in demand forecasting, competitive intelligence, scenario modeling, and commercial effectiveness analytics
• Superior communication and storytelling skills; you must be able to build a narrative from the numbers

Expertise in commercial analytics and data science, with a strong focus on demand forecasting, competitive intelligence, and scenario modeling. Proficient in translating complex data analyses into actionable insights for senior leadership in the pharmaceutical and life sciences sectors.