Data Analytics Manager

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.

Data Analytics Manager

What you will do

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 GitLab CI/CD pipelines and repositories to support code reviews, automate deployments, and uphold coding standards.
• Use JIRA, Confluence, and Agile/DevOps 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.

What we expect of you

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

Basic Qualifications:

Doctorate degree

OR

Master’s degree and 2 years of relevant experience in Analytics, Computer Science, IT or related field

Or

Bachelor’s degree and 4 years of relevant experience in Analytics, Computer Science, IT or related field

Or

Associate’s degree and 8 years of relevant experience in Analytics, Computer Science, IT or related field

Or

High school diploma / GED and 10 years of relevant experience in Analytics, Computer Science, IT or related field

Preferred Skills:

• 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.
• Hands-on experience of building ETL pipelines and data engineering technologies such as Databricks, Gitlab, SQL, PySpark, SparkSQL, AWS, Python.
• Proficiency in workflow orchestration and performance tuning on big data processing.
• Strong understanding of Prophecy or Alteryx.
• Experience with data analysis and data visualization solutions such as Tableau, Power BI
• Well-versed in MS Suite, especially MS Excel (for data handling tasks such as pivot tables, VLOOKUP, data analysis tools, formatting) and proficient in MS Word and MS PowerPoint
• Ability to quickly learn, adapt, and apply new technologies.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork skills.
• Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices.

What you can expect from us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
• Stock-based long-term incentives
• Award-winning time-off plans
• Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.

Apply now and make a lasting impact with the Amgen team.

careers.amgen.com

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Application deadline

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

Sponsorship

Sponsorship for this role is not guaranteed.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.