(usa) Senior Manager, Data Analytics

Walmart Walmart · Retail · Bentonville, AR

Senior Manager, Data Analytics (Patient Safety) at Walmart Health & Wellness. This role focuses on leading strategic measurement and decision science to improve patient safety outcomes at scale. Responsibilities include defining metrics, evaluating interventions using rigorous methods like causal inference, translating risk signals into practical tools, and delivering executive-ready narratives. The role partners with various teams including Clinical Operations, Product/Tech, and Compliance. Requires a Bachelor's or Master's degree with relevant experience in data analysis or data science, and supervisory experience. Experience in regulated environments is preferred.

What you'd actually do

  1. Own patient safety measurement strategy and KPI governance
  2. Translate ambiguous safety concerns into decision-ready analytics
  3. Design and evaluate interventions using rigorous methods
  4. Translate risk and safety signals into business tools and playbooks
  5. Deliver executive-ready narratives and influence outcomes

Skills

Required

  • Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics, or related field OR Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field OR 6 years' experience in data analysis, data science, statistics, or related field
  • 1 year's supervisory experience

Nice to have

  • Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field
  • Related industry experience (for example, retail, merchandising, healthcare, eCommerce)
  • Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R)

What the JD emphasized

  • patient safety
  • rigorous methods
  • causal inference
  • statistical methods
  • sensitive health data