Associate - Commercial Insights and 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 an Associate, Commercial Insights and 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

• Synthesize information from market research, competitive intelligence and secondary data to address key business questions
• Plan, design and execute primary market research, and partner with the Global Insights lead on materials for readouts and ad-hoc brand-plan requests
• Run secondary data analytics, track progress and coordinate results readouts
• Analyze complex data sources such as HCP and account-level demand, claims, electronic medical records and specialty pharmacy data
• Collaborate with teams in the U.S. and Portugal on business rules and methodology, and contribute to new analytical tools and data sources
• Build new capabilities in Amgen India, develop standardized data tables and use AI tools such as ChatGPT and agentic research platforms to speed up insights
• Stay current with data visualization and analysis trends

Required profile

• Bachelor's degree and 2 to 4 years of experience in pharmaceutical forecasting, commercial analytics or market research
• Or a Master's degree in business analytics or a related field
• Ability to turn unstructured business issues into action plans with strategic or tactical recommendations
• Strong oral and written presentation skills, able to explain complex ideas verbally and visually

Required skills

• High proficiency in Excel and PowerPoint
• Working knowledge of Python and SQL
• Experience analyzing and integrating secondary data
• Knowledge of data, analytics, research and dashboarding/reporting approaches