Decision Analyst III, International Commercial Decision Intelligence Solutions

2 months ago

Hyderabad, Telangana, 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 measurement frameworks to provide actionable insights and recommendations that enhance business performance and drive growth in the region.

Roles & Responsibilities:

  • Develop, oversee and implement advanced statistical models, decision support models and optimization techniques to solve complex business problems
  • Collaborate with cross-functional teams to gather/analyze data, define problem statements and identify KPIs for decision-making
  • Apply statistical analysis, regression modelling, clustering, segmentation, etc. to uncover trends and drivers in the data
  • Conduct portfolio analyses to optimize resource allocation, product positioning, and investment strategies.
  • Design, implement and oversee test designs to evaluate effectiveness of marketing campaigns, pricing strategies or other business initiatives.
  • Create measurement frameworks and KPI dashboards to monitor business performance and provide actionable insights to international and country-based stakeholders
  • Partner with international and country-based stakeholders to understand business objectives and translate them into projects and actionable recommendations
  • Stay up-to-date with industry trends, emerging methodologies and best practices related to statistical analysis, optimization and decision support
  • Provide training, guidance and mentorship to junior analysts and team members as required

Skills & Competencies

  • Develop, oversee and implement advanced statistical models, decision support models and optimization techniques to solve complex business problems
  • Collaborate with cross-functional teams to gather/analyze data, define problem statements and identify KPIs for decision-making
  • Apply statistical analysis, regression modelling, clustering, segmentation, etc. to uncover trends and drivers in the data
  • Conduct portfolio analyses to optimize resource allocation, product positioning, and investment strategies.
  • Design, implement and oversee test designs to evaluate effectiveness of marketing campaigns, pricing strategies or other business initiatives.
  • Create measurement frameworks and KPI dashboards to monitor business performance and provide actionable insights to international and country-based stakeholders
  • Partner with international and country-based stakeholders to understand business objectives and translate them into projects and actionable recommendations
  • Stay up-to-date with industry trends, emerging methodologies and best practices related to statistical analysis, optimization and decision support
  • Provide training, guidance and mentorship to junior analysts and team members as required

Experience:

  • Bachelor's or master's degree in a relevant field such as Statistics, Mathematics, Economics, Operations Research or a related discipline.
  • Proven experience (typically 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), data visualization tools (Tableau), and application development environments (e.g. Domino)
  • Experience with descriptive/explanatory models, regression modeling, clustering, segmentation and portfolio analysis
  • Familiarity with the biopharma industry, including market dynamics, regulatory requirements, and healthcare data sources - particularly in European, Asian, and Latin/South American Countries
  • Experience managing projects and/or leading teams
  • Full business English proficiency required; proficiency in other major international languages (German, French, etc) is beneficial

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