Sr Product Analytics Associate

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 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: $92,700.00 - $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. Benefits Comprehensive benefits package designed to support physical, emotional, and financial well‑being of colleagues and their families. Medical, dental, and vision coverage. Paid time off. Retirement savings options. Wellness programs and other resources, based on eligibility. EEO Statement Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. #J-18808-Ljbffr CVS Health