Architect and lead a best-in-class secondary analytics organization for the Specialty Care portfolio, setting the analytical agenda and translating brand strategy into rigorous analyses and measurement frameworks
Build, develop, lead and retain a high-performing team of analysts; create a culture of intellectual curiosity, analytical rigor, and commercial impact
Serve as a strategic thought partner to cross-functional partners, BU leaders and heads of Specialty Care overall/IIS, delivering insights that are clear, defensible, and decision-ready
Drive deep patient and HCP insights using syndicated, claims, and novel data sources — moving beyond trend reporting to uncover the "why" behind commercial performance
Frame, structure, and answer the hardest commercial questions facing Specialty Care leadership, including competitive dynamics, market evolution, launch performance, and long-range planning
Partner across GCA — including Data Science, Forecasting, and Digital Analytics — to pioneer new analytical methods, integrate emerging data assets, and push the boundaries of what secondary analytics can do
Establish and enforce standards for analytical quality, data governance, and insight communication across the Oncology analytics ecosystem
Requirements
Bachelor’s degree (Master’s preferred) in a quantitative technical discipline such as computer science, engineering or related field
12+ years’ experience in Biopharma, analytics, strategic consulting, business, or related area
8+ years of hands-on coding experience in Python, R, SAS, SQL or other data analytics tools in life science
Leadership experience required
Must have managed cross-functional analytic teams and have a strong track-record of hiring analytical roles
Demonstrated success in a highly fast-paced setting
Ability to identify new issues, trends, and opportunities from data
Ability to influence without authority, setting business direction, priorities, and action plans
Demonstrated analytical capabilities and critical thinking skills
Recent Healthcare Life Sciences and ecosystem professional industry experience is required, commercial/marketing experience is a plus
Extensive expertise in SQL, Python, Scala or similar; other object-oriented programming languages
Extensive understanding of data visualization tools and experience designing and building complex dashboards, including but not limited to Tableau, PowerBI, Qlik and Looker
Tech Stack
Python
Scala
SQL
Tableau
Benefits
401(k) plan with Pfizer Matching Contributions
Additional Pfizer Retirement Savings Contribution
Paid vacation
Holiday and personal days
Paid caregiver/parental and medical leave
Health benefits to include medical, prescription drug, dental and vision coverage