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.

CVS Business Unit: Signify Health
Location / Logistics: Remote position in US with some travel required


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, product, and clinical operations.

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 - $203,940.00

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: 09/19/2026

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