Data Analytics Manager

Career Category

Job Description

Join Amgens Mission of Serving Patients

At Amgen if you feel like youre part of something bigger its because you are. Our shared missionto serve patients living with serious illnessesdrives all that we do.

Since 1980 weve helped pioneer the world of biotech in our fight against the worlds 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 youll 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 youll 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

Lets do this. Lets 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 Amgens 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

Masters degree and 2 years of relevant experience in Analytics Computer Science IT or related field

Or

Bachelors degree and 4 years of relevant experience in Analytics Computer Science IT or related field

Or

Associates 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 well 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.

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.

Salary Range