Investment Analytics Manager

9 hours ago

Hyderabad, Telangana, India Amgen Technology Private Limited Full time ₹ 15,00,000 - ₹ 30,00,000 per year

CDNA_Sr Manager – Investment Analytics

Career CategorySales & Marketing Operations Job Description

HOW MIGHT YOU DEFY IMAGINATION?
If you feel like you're part of something bigger, it's because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world's leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It's time for a career you can be proud of.

Live | What you will do

  • Lead the end-to-end strategy and delivery of marketing mix modeling (MMM) to support investment decision-making across brands.
  • Partner with commercial leads and marketing stakeholders to link analytics findings directly to brand strategy and tactical planning.
  • Provide thought leadership on performance measurement, promotion optimization, and forecasting scenarios.
  • Build and present compelling narratives that distill complex modeling outputs into executive-level insights and strategic recommendations.
  • Guide vendor partners and internal teams on data sourcing, model assumptions, and validation of results.
  • Ensure consistent methodologies, business alignment, and storytelling standards across all IA projects.
  • Mentor and support L5 team members; take responsibility for final delivery quality and stakeholder satisfaction.

Thrive | What you can expect

As we work to develop treatments that take care of others, we also work to care for our teammates' professional and personal growth and well-being.

Basic Qualifications

  • Master's degree in Economics, Data Science, Statistics, or Business Analytics.
  • 7–9 years of experience in advanced analytics or commercial effectiveness, including significant ownership of MMM programs.
  • Experience in the pharmaceutical industry, with strong understanding of brand lifecycle and promotion dynamics.
  • Skilled in communicating with senior stakeholders and bridging analytics with brand strategy.
  • Hands-on capability with Python, SQL, and Databricks (for model review and guidance, not day-to-day coding).

Preferred Qualifications

  • Exposure to media analytics and omnichannel planning.
  • Familiarity with forecasting, budget planning, or brand investment simulation models.
  • Experience managing external vendors or modeling partners.
  • Strong collaboration and storytelling capabilities across global, cross-functional teams.
. Experience LevelSenior Level

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