We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Projected Start Date: June - July 2026; exact start date to be finalized with partnership with leader.

Location: WFH - PA

Starting Salary: $80,000

Sponsorship:

Work visa sponsorship is not available for this role. This includes participation in Curricular Practical Training (CPT), Optional Practical Training (OPT), and F-1 Visa programs

About this business area:

Aetna’s Medicare Stars Data Intelligence team supports the entire Medicare organization by participating in the design, build, and management of large-scale data structures and pipelines and efficient Extract/Load/Transform (ETL) workflows. The Data Intelligence team is focused on creating a framework for developing large scale data structures and pipelines to organize, collect, and standardize data that helps generate insights and addresses reporting needs focusing on complex business problems.  We use advanced technology and tools, data modeling techniques, and ETL processes to enable data acquisition by leveraging big data within a cutting-edge environment. 

The position supports Medicare Stars and their mission to provide data collection for all Medicare (assets/information) supporting Medicare Stars by embracing innovative capabilities to discover, extract and load information.  Our core principles are to build trust and enable secure data sharing to improve the health of our members, customers and colleagues.

In this role you will:

Transform complex data into actionable insights that drive strategic decisions.  The position will require working with cross-functional teams with engineering, product and business teams.  This also requires having the ability to develop and automate data pipelines, and develop predictive models and communicate finding through compelling visualizations and reports.

 

Required Qualifications

• Strong collaboration and communication skills within and across teams.
• Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources.
• Meet educational requirements (see education section)
• Must have successfully completed corporate internship program

Preferred Qualifications

• Be able to work in a fast-paced environment and meet tight deadlines
• Possess strong analytical and problem resolution skills
• 2+ years work experience
• Design, Develop and maintain optimal data pipeline to assemble large & complex data sets that meets analytics and business requirements

Education

• Bachelor's/Master's Degree in Business Analytics, Data Science

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$72,100.00 - $144,200.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.  This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
 

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.