Senior Associate - Commercial Analytics

About the role

Amgen's Customer Data and Analytics (CD&A) team acts as a strategic partner to Commercial, Medical, Finance, R&D and other teams, providing data-backed insights for product and portfolio decisions. As Senior Associate, Commercial Analytics in the CD&A team at Amgen India, you will deliver actionable, data-driven insights supporting decision-making across therapeutic areas, focusing on Obesity global pipeline assets. The role involves collaboration with partners in the U.S. and Portugal and internal contract teams in India, and reports to a Manager / Senior Manager of Forecasting and Analytics. It is based in the Amgen India Hyderabad office, with a minimum of 4 days per week on site.

Key responsibilities

• Take part in designing and running secondary data analytics to support strategic decisions, track progress and coordinate results readouts
• Support insights generation by integrating secondary data sources and work with cross-functional CD&A colleagues to understand business needs
• Analyze complex data sources such as HCP and account-level demand data, claims data, electronic medical records and specialty pharmacy data to build a detailed understanding of the brand
• Work with US and Portugal teams to align on business rules and data analysis methodology
• Research and implement new analytical tools, methodologies and data sources, and contribute to building new capabilities and standardized data tables in Amgen India
• Use AI tools (e.g., ChatGPT, agentic research platforms) to deepen insights and stay current with data visualization trends

Required profile

• Bachelor's degree with 3 to 6 years of experience in pharmaceutical commercial analytics or forecasting, or a Master's degree with 2 to 4 years of experience in pharmaceutical analytics or forecasting
• Ability to turn unstructured business issues into action plans with strategic or tactical recommendations
• Ability to drive implementation of improved methodologies and processes, and to manage multiple projects in a fast-paced environment
• Strong oral and written communication, with the ability to present complex ideas clearly, including via PowerPoint

Required skills

• Preferred: high proficiency in Excel and working knowledge of Python/SQL
• Experience analyzing and integrating secondary data, and knowledge of data, analytics, research and dashboarding/reporting approaches
• Familiarity with emerging AI tools