Senior Product Analytics Associate

Job not on LinkedIn

🕒 August 4

🤠 Texas – Remote

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💵 $83.4k - $203.9k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 23%

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Logo of CVS Health

CVS Health

10,000+ employees

Founded 1963

🏥 Healthcare

⚕️ Healthcare Insurance

🛒 Retail

Healthcare • Healthcare Insurance • Retail

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 such as Dataform or SQL-based ETL tools • Ensure analytics-ready datasets • Build and maintain Power BI dashboards to track product health and monitor product initiative success • Design and interpret A/B tests • Apply causal inference methods, including Diff-in-Diff and Propensity Score Matching, when A/B testing is not feasible • Develop ROI projections for analytics projects • Prioritize deliverables by business impact • Tell compelling stories through data • Articulate technical information to non-technical audiences • Work closely with cross-functional teams including engineering, product, and clinical operations • Lead development and execution of a data-driven product roadmap

🎯 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 • Experience with version control (Git) • Experience with A/B testing, funnel analysis, and statistical methods (regression, clustering, or predictive modeling) • Advanced proficiency in SQL • Experience with Python or R • Experience working with data engineering teams to develop data pipelines • Power BI experience preferred • Familiarity with advanced causal inference techniques, such as instrumental variables, preferred • Ability to travel occasionally • Qualified applicants with arrest or conviction records will be considered in accordance with federal, state and local laws

🏖️ Benefits

• Medical coverage • Dental coverage • Vision coverage • Paid time off • Retirement savings options • Wellness programs • Other resources supporting physical, emotional, and financial well-being • CVS Health bonus, commission or short-term incentive program in addition to base pay

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