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Biopharma Optimization Expert
1 week ago
Data-Driven Decision Making for Commercial Success
Bristol-Myers Squibb is seeking a highly skilled Decision Analyst to join its commercial organization. The successful candidate will be responsible for applying advanced statistical analysis and optimization techniques to drive business growth and performance.
Key responsibilities include reviewing omnichannel strategy and highlighting concerns in performance, providing actionable insights to stakeholders; reviewing and providing input around measurement frameworks, KPI definitions to define reach, engagement, and quality engagement; guiding KPI goals to monitor business performance; collaborating with cross-functional teams to gather, analyze data, and define problem statements; developing, overseeing, and implementing advanced statistical models, regression modeling, ANCOVA, econometric modeling, Bayesian, Ridge, Lasso, etc., and optimization techniques to solve complex business problems and support decision-making; connecting multiple data sources appropriately, QC, and uncovering trends in the data to develop an appropriate measurement framework; guiding and implementing test designs to evaluate effectiveness of marketing campaigns, content strategies, or other business initiatives.
The ideal candidate will have a strong background in statistical analysis, optimization techniques, and decision support models, as well as experience working with large datasets, statistical software packages (e.g., R, SAS, Python), and data visualization tools (e.g., Rshiny, Dash, Tableau). Familiarity with the biopharma industry, including market dynamics, regulatory requirements, and healthcare data sources, is also essential.
