Senior Product Analyst

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: US, 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. This role will leverage modern AI tools to support engineering, quality assurance, and customer success teams.

What will you do?

• Develop an expert level understanding of Signify’s core product offerings and analytics technology.

• Define, track, report out, and explain product metrics including performance and profitability.

• Build and maintain robust data transformation models using dbt and utilize Claude Code to accelerate SQL development and technical documentation.

• Build and maintain Power BI dashboards and reports to track product health, highlight insights, and monitor the success of product initiatives.

• Architect Snowflake semantic views to power Snowflake Intelligence, enabling natural language data discovery for stakeholders.

• Deploy and manage AI agents within the data warehouse to automate monitoring and proactive alerting of product performance anomalies.

• Become a key partner with Product, Engineering, Operations and Analytics teams to drive key Signify objectives.

• Be a champion of A/B testing and help stakeholders throughout the company design, analyze, and interpret A/B tests correctly. Able to use alternative causal inferences techniques when A/B testing is not feasible.

• Develop ROI projections for analytics projects to prioritize analytics deliverables by impact to the business.

• Communicate progress, barriers, priority and budget regularly with leadership.

• Tell compelling stories through data, articulating technical information to a non technical audience.

Required Qualifications

• Bachelor’s degree in Statistics, Data Science, Business Analytics, Economics, Computer Science, Engineering, or a related technical field is preferred.

• 5+ of experience in a technical product analytics or data science role, with a proven track record of influencing product decisions through technical insights.

• Experience with dbt (Data Build Tool) or similar analytics engineering tools to manage data transformations, version control (Git), and data documentation.

• Experience using AI coding assistants such as Claude Code to streamline development and automate repetitive analytical tasks.

• Build, develop and maintain dashboards and performance metrics that support key business decisions.

• Experience with A/B testing, funnel analysis, and other statistical analysis methods, including regression, clustering, classification, and predictive modeling.

• Advanced proficiency in SQL and Snowflake, and experience with Python or R for data analysis and modeling.

Preferred Qualifications

• Power BI experience.

• Experience defining semantic layers and agents to support AI-driven data exploration via Snowflake Intelligence.

• Familiarity with causal inference techniques (e.g., propensity score matching, instrumental variables, difference-in-differences) is a plus.

• Experience working with data engineering teams to develop data pipelines and ensure data integrity across multiple systems.

• Proven ability to translate complex analyses into technical and actionable insights for various stakeholders.

• Excellent verbal and written communication skills; ability to present complex information in an understandable and compelling manner.

Anticipated Weekly Hours

Time Type