Senior Product Analytics Associate

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🔥 0 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $92.7k - $185.4k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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CVS Health

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1963

⚕️ Healthcare Insurance

🛒 Retail

🧘 Wellness

Healthcare Insurance • Retail • Wellness

CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.

📋 Description

• 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

🎯 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

🏖️ Benefits

• medical, dental, and vision coverage • paid time off • retirement savings options • wellness programs