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The CD&A team at Amgen plays a pivotal role as a strategic partner to many cross functional teams such as Commercial, Medical, Finance, R&D, Corp Affairs, offering data-backed insights crucial for driving success to Amgen Product and Portfolio. As a SeniorAssociate, Commercial Analytics at Amgen India, you will play a key role in delivering actionable, data-driven insights to support decision-making across therapeutic areas. This role supports Obesity global pipeline assets and requires flexibility in collaborating across geographies—including partners in the U.S., Portugal, and internal contract teams in India. The ideal candidate will possess strong pharmaceutical forecasting and analytics experience, high data fluency, and emerging AI tool familiarity to help shape Amgen’s next generation forecasting and analytics capabilities. This role reports to a Manager / Senior Manager of Forecasting and Analytics and operates within the broader framework of Customer Data & Analytics (CD&A). This role is for Amgen India Hyderabad Office. You will work on-site a minimum of 4 days a week.
Job Responsibility:
Participate in the design and execution of secondary data analytics to support strategic decision-making by helping implement solutions, tracking progress, and coordinating results readout
Support insights generation in the integration of secondary data sources and collaborate with cross functional CD&A colleagues to understand key business needs
Provide analysis using complex data sources including HCP and Account-level Demand data, Claims data, Electronic Medical Records data, Specialty Pharmacy data, etc. to generate a holistic, objective, and detailed understanding of the brand
Collaborate with teams in the US, Portugal to align on business rules and methodology for data analysis
Contribute to the enhancement of the CD&A team's capabilities by researching and implementing new analytical tools, methodologies, and data sources
Contribute to building new capability / tool development in Amgen India
Help develop standardized data tables to enable faster insight generation
Leverage AI tools (e.g., ChatGPT, agentic research platforms) to enhance speed and depth of insights
Stay current with recent trends in data visualization and analysis techniques
Requirements:
Bachelor’s degree and 3 to 6 years of relevant experience in pharmaceutical commercial analytics or forecasting
Master’s degree and 2 to 4 years of relevant experience in pharmaceutical analytics or forecasting
Nice to have:
High proficiency in Excel and working knowledge of Python/SQL
Familiarity with technologies and applications, and hands-on experience to analyze, synthesize, and integrate various secondary data
Knowledge in data, analytics, research, and/or dashboarding & reporting approach
Capable to identify & define business problems by turning unstructured business issues into action plans that result in meaningful strategic or tactical recommendations
Ability to drive implementation to enhance methodologies and standard processes
Strong oral and written presentation skills, with ability to explain complex concepts verbally and visually via PowerPoint
Consistently engage and collaborate effectively with cross-functional team to shape brand strategy and understand risks and opportunities
Ability to manage multiple projects in a fast-paced environment and coach peers