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.
Position Summary: This position will focus on clinical supplemental data acquisition and integration to support Aetna's quality measures including but not limited to Medicare Stars and Hedis. This role includes but is not limited to the following tasks: - Develop and validate statistical models and predictive algorithms
- Perform exploratory data analysis on structured and unstructured datasets
- Build repeatable analytical solutions using established tools and best practices
- Partner with stakeholders to translate business questions into analytical approaches
- Produce insights, metrics, and dashboards to support decision-making
- Operate within defined governance, ethical, and data-privacy standard
Required Qualifications- Ability to translate business questions into analytical approaches and clearly articulate findings to non-technical stakeholders
- Strong written and verbal communication skills, with emphasis on communicating insights and recommendations
- Understanding of and adherence to data governance, privacy, and ethical standards in analytics work
- ]Strong problem-solving and critical-thinking skills applied to ambiguous or moderately complex analytical problems
- Adaptability and willingness to learn new tools, methods, and technologies as the analytics landscape evolves
- Ability to design repeatable, scalable analytical solutions using established best practices
- Strong capability in exploratory data analysis to identify trends, patterns, and anomalies
- Ability to work with large, complex datasets using SQL and analytical data environments
- Experience creating analytical outputs and visualizations using standard data visualization tools (e.g., Tableau, Power BI, or similar)
Preferred QualificationsPlease replace this section with the Preferred Job Qualifications
EducationBachelor's degree in a quantitative discipline (e.g., Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field) or equivalent practical experience. Master's degree preferred.
Anticipated Weekly Hours40
Time TypeFull time
Pay RangeThe 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 peopleWe 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: 06/04/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Never miss an opportunity! Create an alert based on the job you applied for.
