Associate Director / Director Commercial Analytics (Pharma & Lifescience)

Responsibilities

• Work on the latest applications of data science to solve business problems in Pharma and Lifescience domain
• Directly with client stakeholders to translate business problems into high-level analytics solution designs
• Knowledge of advanced analytics approaches and methodologies and best practices of leveraging data to drive informed decisions
• Proficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etc
• Account management, client relationships, and account growth
• Scaling pilots / POCs to a long-term transformative program and delivering continuous business value
• Leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization
• Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc
• Experience working with all levels of management and consulting with key business stakeholders
• Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
• Make presentations to senior management, communicate results to business teams, and develop plans to help operationalize analytics solution
• Explore opportunities with current and new buying centers and collaborate with internal Tiger SMEs to create the right POVs / proposals to help drive growth

Requirements

• 10-16 years of professional work experience with at least 9 years in data analytics
• Experience in managing large accounts and active involvement in account growth
• P&L ownership in the past would be an added advantage
• Solid understanding of statistical and machine learning algorithms
• Strong knowledge of Lifescience and Pharma domain
• Strong project management and team management skills and ability to work with global teams
• Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau
• Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus
• Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
• Graduate in Business Analytics or MBA or equivalent work experience