Global Insights Senior Associate

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 300 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’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 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 Global Commercial Insights team at Amgen plays a pivotal role as a strategic partner to Global Commercial leadership, offering data-backed insights crucial for driving global commercial strategy. As a Global Insights Senior Associate, you will support development of global analytical tools and capabilities that enable Global Insights teams to leverage secondary data to derive insights and help accelerate business decisions to support products and pipeline assets across therapy areas. Additionally, you will assist in landscape research across therapy areas and disease states to support global commercial deliverables including brand planning, opportunity assessments, global performance tracking, etc.

The individual in this role must be willing to solve ambiguous problems by leveraging both technical and consultative skills sets 

Responsibilities will include:

• Design, implement, and optimize global analytical tools and frameworks that enable Global Insights teams to extract insights from secondary data, supporting data-driven decision-making.
• Build secondary data analytics toolbox to train and guide the Global Insights teams to efficiently use secondary data for insights generation for several global commercial deliverables.
• Build ETL processes (Extract, Transform, & Load) for several data sources, analyze patterns and trends, and develop data models to support business needs.
• Design systems for data storage, processing, and integration while ensuring accuracy and consistency.
• Design, build, and maintain interactive Tableau/Power BI reports & dashboards with AI-driven analytics, troubleshoot issues, and optimize performance.
• Ensure clear documentation for reports, dashboards, caveats, and processes for long-term usability.
• Explore new data sources, methodologies, and visualization techniques (including AI-based techniques and methodologies) to enhance insights generation and increase the impact of secondary analytics in decision-making influencing global commercial strategy across portfolio.
• Utilize syndicated and real-world data sources (e.g., IQVIA, claims data, epidemiology data) to generate dashboards for key metrics across diseases.
• Conduct landscape assessments across multiple therapy areas and disease states, identifying key market trends and unmet needs to support global commercial deliverables.
• Set priorities, develop and manage multiple projects and timelines simultaneously.

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 analytics, reporting, data engineering, data science and / or business analysis experience
• OR Master’s degree and 3 years of analytics, reporting, data engineering, data science and / or business analysis experience
• OR Bachelor’s degree and 5 years of analytics, reporting, data engineering, data science and / or business analysis experience
• University Degree in data science, commerce, finance, economics, mathematics, healthcare or related field.
• Fluency in English, both in written and oral communication.
• Strong Excel and PowerPoint knowledge

Preferred Requirements:

• Familiarity with technologies and applications,