Decision Analyst II, US Commercial Decision Intelligence

1 month ago

india Bristol Myers Squibb Full time

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 stakeholders
  • Review and provide input around measurement frameworks, KPI definitions to define reach, engagement and quality engagement
  • Guide KPI goals to monitor business performance
  • Collaborate with cross-functional teams to gather/analyze data and define problem statements
  • Develop, 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 making
  • Connect multiple data sources appropriately, QC and uncover trends in the data to develop appropriate measurement framework
  • Guide 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 business


Skills and competencies:

  • Strong analytical thinking and problem-solving skills with a deep understanding of statistical analysis, optimization techniques and decision support models
  • Strong 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 style
  • Meticulous attention to detail with a questioning mindset to ensure accuracy and reliability of analysis
  • Strong project management skills and the ability to work independently or as part of a team
  • Passion 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 industry
  • Experience 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 sources
  • Experience interacting with commercial leaders, understanding, anticipating, and fulfilling their insight/analytical information requirements

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