Data Analytics Manager

Career Category

Finance

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Let’s do this. Let’s change the world. We are looking for a highly motivated expert Data Analytics Manager to design and develop advanced data pipelines and solutions to support the business intelligence reporting portfolios of both the Strategic Insights & Analytics (SIA) team and the Financial Insights & Technology (FIT) team. The ideal candidate will be responsible for designing, developing, and optimizing data pipelines, data integration frameworks, and metadata-driven architectures in Prophecy/Databricks that enable seamless data access for Power BI and Tableau dashboards used regularly by hundreds of internal customers at Amgen.

In this vital role as a Data Analytics Manager, you will play a key role in financial data integration and analysis for the global Amgen organization.

Key responsibilities include but are not limited to-

• Develop a strong understanding of Amgen’s financial data and systems to support reporting, integrations, and business data requests.
• Design, develop, and maintain ETL/ELT pipelines in Databricks and Prophecy using PySpark, Python, and SQL, including ingestion and transformation of structured and unstructured data from sources such as Databricks, Oracle, AWS, SQL Server, APIs, logs, and third-party platforms.
• Build scalable data pipelines and maintain underlying data infrastructure to migrate and deploy data across systems, with an understanding of Finance, HR, and related domains.
• Build and maintain Git Lab CI/CD pipelines and repositories to support code reviews, automate deployments, and uphold coding standards.
• Use JIRA, Confluence, and Agile/Dev Ops tools to manage sprints, backlogs, and documentation.
• Design and implement solutions that enable unified data access, governance, and interoperability across hybrid cloud environments.
• Ensure data integrity and accuracy through rigorous validation, quality checks, and monitoring.
• Evaluate and implement new tools, frameworks, and best practices to improve data processing efficiency and modernize engineering workflows.
• Automate manual tasks, develop reusable data engineering components, collaborate with cross-functional teams to translate business needs into scalable technical solutions, and maintain documentation for processes.

We are all different, yet we all use our unique contributions to serve patients

• Doctorate degree
• Master’s degree and 2 years of relevant experience in Analytics, Computer Science, IT or related field
• Bachelor’s degree and 4 years of relevant experience in Analytics, Computer Science, IT or related field
• Associate’s degree and 8 years of relevant experience in Analytics, Computer Science, IT or related field
• High school diploma / GED and 10 years of relevant experience in Analytics, Computer Science, IT or related field

• Databricks Certificate preferred
• Strong verbal and written communication skills.
• Ability to work effectively with global, virtual teams.
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully.
• Team-oriented, with a focus on achieving team goals.
• Ability to learn quickly, be organized, and detail-oriented.
• Ha…