Sr Product Analytics Associate
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. 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.
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
- medical
- dental
- vision coverage
- paid time off
- retirement savings options
- wellness programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
