Senior Product Analytics Lead - Data-Driven Strategy

CVS Health; Texas; Hybrid; USD 93,000 - 185,000; Full time

Job summary

CVS Health is seeking a Senior Product Analytics Associate to lead a data-driven product roadmap and collaborate with engineering, product, and clinical operations teams. The role emphasizes analytics leadership, ROI-focused decision-making, and clear storytelling through data.

The ideal candidate has 5+ years in technical product analytics or data science, strong SQL and Python/R skills, and experience with dbt.

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

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
• Design and interpret A/B tests; when A/B testing is not feasible, apply causal inference methods 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
• Build and maintain Power BI dashboards to track product health and monitor the success of product initiatives

Skills

SQL

Python

A/B testing

Statistics

Data visualization

Education

Bachelor's degree in a technical field

Tools

dbt

Git

Job description

CVS Health is seeking a Senior Product Analytics Associate to lead a data-driven product roadmap and collaborate with engineering, product, and clinical operations teams. The role emphasizes analytics leadership, ROI-focused decision-making, and clear storytelling through data.

The ideal candidate has 5+ years in technical product analytics or data science, strong SQL and Python/R skills, and experience with dbt.