Data Analytics Manager Job at Amgen (Tampa)

Data Analytics Manager

Amgen

Location:
United States , Tampa

Category:
Finance

Contract Type:
Not provided

Salary:

117749.00 - 146431.00 USD / Year

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Job Description:

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.

Job Responsibility:

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

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 have:

Databricks Certificate
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 we offer:

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

Additional Information:

Job Posted:
January 15, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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