Data Analytics Manager

Amgen•Tampa, FL

23h

About The Position

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.

Requirements

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

Nice To Haves

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.

Responsibilities

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.

Benefits

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.
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.

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