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Commercial Analytics Senior Associate (Obesity)

Amgen
Portugal - ACC, Portugalfull_timeVerifiedPosted 19 Feb 2026

About the role

Career Category

Sales & Marketing Operations

Job Description

HOW MIGHT YOU DEFY IMAGINATION?

The Amgen Capability Center in Lisbon, Portugal (ACCP) will be home to over 500 multi-national and multi-cultural employees, representing a broad range of cross functional capabilities, including Commercial, General and Administrative, Research and Development and more. The ACCP will offer rich career growth and development opportunities, regional and global exposure, and the opportunity to LIVE, WIN and THRIVE in one of Europe’s most attractive cities.  

Our ACCP Office is located at Maleo – Sete Rios, Av. José Malhoa 19, 1070-040 Lisbon, in the vibrant city center of Lisbon.

If you feel like you are 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 read over 10 million patients worldwide. It’s time for a career you can be proud of. Join us.

Commercial Analytics Senior Associate

LIVE

What you will do

The Commercial Analytics team at Amgen plays a pivotal role as a strategic partner to Commercial leadership, offering data-backed insights crucial for driving commercial success. As a Commercial Analytics Senior Associate, you will assist in generating insights by integrating multiple secondary data sources and engaging with several Commercial Data and Analytics (CD&A) colleagues to develop an understanding of brand performance and provide tactical recommendations to enhance it.

As our Commercial Analytics Sr. Associate, you play a pivotal role as a strategic partner to Commercial leadership, offering data-backed insights crucial for driving commercial success and stakeholder management. You will contribute to the global pipeline assets, execute tasks, and participate in discussions with senior leadership and a wide variety of stakeholders.

Responsibilities will include:

  • Design and execute secondary data analytics to support strategic decision-making, including implementing solutions, tracking progress, and coordinating results readout
  • Collaborate with CD&A colleagues to synthesize findings, and build a comprehensive understanding of disease areas and commercial opportunities
  • Partner and build relationships with global brand lead and teams across the organization, such as marketing, medical, pricing/contracting to contribute to enterprise decisions and discussions
  • Analyze complex data sources (e.g., HCP / Account-level Demand, Pharmacy / Medical Claims, Electronic Medical Records) using tools like Amazon Redshift/Databricks/SQL
  • Manage relationships with external vendors to prioritize business needs and ensure effective execution of analytics
  • Enhance CD&A team capabilities by researching and implementing new analytical tools, methodologies, and data sources
  • Produce, refine and deliver regular performance dashboards and reports combining multiple data sources
  • Partner with CD&A Insights and Forecasting teams to provide historical and analog analyses for forecasts and long-range scenarios
  • Work with the data management team to enable data integration for specific analytic needs
  • Provide ad hoc analysis in response to business questions

WIN

What we expect of you

Our ideal candidate is a team player with customer focus. He/she is problem solving and result oriented and has time and process management skills and can compile data.

Proven experience and skills needed:

  • Minimum 3 years of experience in Pharma/Biotech commercial operations, finance and/or analytics and reporting experience
  • OR Master’s degree and 3 years of sales & marketing operations, finance and/or analytics experience
  • OR Bachelor’s degree and 5 years of analytics sales & marketing operations, finance and/or analytics experience
  • University Degree in data science, information systems, commerce, finance, economics, mathematics, healthcare or related field.
  • Fluency in English, both in written and oral communication.
  • Strong SQL, Excel and PowerPoint knowledge

Preferred Requirements:

  • Experience with technologies and applications used to analyze, synthesize, and integrate data
  • Proficiency in database languages (e.g., SQL) and spreadsheet analytics (e.g., Excel)
  • Familiarity with data visualization software (e.g., Tableau)
  • Familiarity with Databricks or AWS is a plus<

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Company

Amgen

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