Senior Associate Data Analytics

Senior Associate Data Analytics

Career CategoryFinance Job Description Role Name: Sr Associate – Data Analytics

Department: TBD
Role GCF: 4
Hiring Manager: TBD

Role Description

This role will play a key part in supporting Amgen's Tech & Workforce Strategy by designing and building robust, scalable data pipelines that enable advanced analytics and insights.

We are seeking an expert-level data engineer who is eager to gain exposure to the business/FP&A side of Biotech. You bring the data engineering mastery—we'll teach you the business context. This is a rare opportunity to grow your career at the intersection of cutting-edge engineering and strategic business decision-making.

Please be aware that Amgen's Tech & Workforce Strategy is a key strategic initiative to ensure Amgen's future success. It's a very fast-moving, start-up environment and we need staff that are adaptable to rapidly evolving work priorities and a willingness to be flexible with work hours to get the job done.

Objectives of this Role

• Develop, optimize, and maintain scalable data pipelines using Prophecy and Databricks.
  
• Design and implement robust data models and frameworks to support enterprise-wide analytics.
  
• Partner closely with business stakeholders to understand requirements and translate them into technical solutions.
  
• Ensure data quality, consistency, and reliability across critical datasets.
  
• Continuously improve data engineering practices to enhance performance, scalability, and maintainability.

Basic Qualifications

• Master's degree and 2 years of relevant experience
  OR
  
• Bachelor's degree and 1 year of relevant experience
  OR
  
• Associate's degree and 4 years of relevant experience
  OR
  
• High school diploma/GED and 8 years of relevant experience

(Experience should be in data engineering, software engineering, or related fields.)

Preferred Qualifications

• 4 years of experience in data engineering, with a strong focus on pipeline design and optimization.
  
• Expert-level proficiency in Python and SQL, with hands-on Databricks experience.
  
• Experience building production-grade ETL/ELT pipelines with large, complex datasets.
  
• Familiarity with data orchestration tools such as Airflow, Prophecy, or equivalent.
  
• Strong understanding of data modeling, governance, and performance optimization techniques.
  
• Exposure to business intelligence tools (e.g., Tableau, Power BI) is a plus, but not required.
  
• Prior experience in biopharma, biotech, or other data-intensive industries preferred but not required.

What You Can Expect from Us

As we work to develop treatments that take care of others, we also work to care for our teammates' professional and personal growth and well-being.

In addition to the base salary, Amgen offers a Total Rewards Plan comprising 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 including:

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental & vision coverage, and life & disability insurance.
  
• 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 and an annual site shutdown.
  
• Flexible work models, including remote work arrangements, where possible.

Equal Opportunities for Everyone

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.

. Experience LevelMid Level

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