Description

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.

Business Unit: Signify Health

Location: Remote position with some travel

Position Summary
We are seeking a skilled and analytical Senior Product Analyst to lead the development and execution of a data-driven product roadmap. The ideal candidate will have a deep understanding of product analytics, strong problem-solving skills, and experience working with cross-functional teams to support strategic initiatives.

As a Senior Product Analytics Associate, you will work closely with cross-functional teams including engineering, quality assurance, and customer success.

Roles and Responsibilities:

• Define, track, and report on product metrics including performance and profitability
• Build and maintain robust data transformation models using dbt (or similar frameworks like Dataform or SQL-based ETL tools) to ensure analytics-ready datasets
• Build and maintain Power BI dashboards to track product health and monitor the success of product initiatives
• Design and interpret A/B tests; when A/B testing is not feasible, apply causal inference methods (e.g., Diff-in-Diff, Propensity Score Matching) to determine product efficacy.
• Develop ROI projections for analytics projects to prioritize deliverables by business impact
• Tell compelling stories through data, articulating technical information to a non-technical audience

Basic Qualifications:

• Bachelor's degree in a technical field (Statistics, Data Science, CS, Engineering, or related)
• 5+ years of experience in a technical product analytics or data science role
• Experience with dbt (Data Build Tool) or similar analytics engineering tools, including version control (Git)
• Experience with A/B testing, funnel analysis, and statistical methods (regression, clustering, or predictive modeling).
• Advanced proficiency in SQL and experience with Python or R
• Experience working with data engineering teams to develop data pipelines

Preferred Qualifications:

• Power BI experience
• Familiarity with advanced causal inference techniques (e.g., instrumental variables)

Anticipated Weekly Hours
40

Time Type
Full time

Pay Range

The typical pay range for this role is:

$83,430.00 - $185,400.00

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 our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 03/07/2026

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