Sr Product Analyst

CVS Health

22h • Remote

About The Position

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.

Requirements

• 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

Nice To Haves

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

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

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level