Decision Analyst II, US Commercial Decision Intelligence T500-11833
2 weeks ago
Summary:
The Decision Analyst will play an instrumental role for BMS, as they will be responsible for applying advanced statistical analysis and optimization techniques to support data-driven decision-making processes.
The Decision Analyst will develop and implement descriptive/explanatory models, decision support models, segmentation strategies, portfolio analyses, test/experimental designs, and create well-structured content to provide actionable insights and recommendations that enhance business performance and drive growth in the region.
Roles & Responsibilities:
Review Omnichannel strategy and highlight concerns in performance and provide actionable insights to stakeholdersReview and provide input around measurement frameworks, KPI definitions to define reach, engagement and quality engagementGuide KPI goals to monitor business performanceCollaborate with cross-functional teams to gather/analyze data and define problem statementsDevelop, oversee, and implement advanced statistical models (regression modeling, ANCOVA, econometric modeling, Bayesian, Ridge/ Lasso etc.) and optimization techniques to solve complex business problems and support decision makingConnect multiple data sources appropriately, QC and uncover trends in the data to develop appropriate measurement frameworkGuide and implement test designs to evaluate effectiveness of marketing campaigns, content strategies or other business initiatives.
Communicate complex analytical findings and insights to both technical and non-technical stakeholders through clear and compelling visualizations, reports and presentations and provides actionable recommendations for the businessSkills and competencies:
Strong analytical thinking and problem-solving skills with a deep understanding of statistical analysis, optimization techniques and decision support modelsStrong understanding of experimental design, hypothesis testing and A/B testing methodologies.
Strong understanding of digital/non-personal tactics like website, paid search, social media, third party etc.Strong business acumen and communication skills to translate complex analyses into what it means for the business in an articulate insights and recommendations styleMeticulous attention to detail with a questioning mindset to ensure accuracy and reliability of analysisStrong project management skills and the ability to work independently or as part of a teamPassion for continuous learning and improvement with a keen interest in exploring new and innovative ways to enhance the quality and impact of analyses
Experience:
We welcome a bachelor's or master's degree in a relevant field such as Statistics, Mathematics, Economics, Operations Research or a related discipline.
Proven experience (ideally 3-5 years) in a decision analysis, statistical modeling, or optimization role, preferably within the biopharma or pharmaceutical industryExperience working with large datasets, statistical software packages (e.g.
R, SAS, Python), and data visualization tools (e.g. like Rshiny, Dash, Tableau etc.)Familiarity with the biopharma industry, including market dynamics, regulatory requirements, and healthcare data sourcesExperience interacting with commercial leaders, understanding, anticipating, and fulfilling their insight/analytical information requirements-
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