(USA) Senior Manager, Data Analytics - Health & Wellness

About the Role

Key Responsibilities

• Embrace H&W data analytics culture and follow our culture of data quality, privacy, best practices and continuous learning to deliver trusted results, increase institutional knowledge, and improve your effectiveness as an analyst.
• Prepare certified data and metrics to be 'AI-Ready' for consumption within AI Assistants and standardized reports used by executives and business leaders.
• Define, measure, and document metrics in SQL and leverage the H&W metric certification process to ensure repeatable data quality in the reports you generate.
• Analyze data using advanced SQL and publish results and insights into the H&W analytics library to influence business improvement projects and increase institutional data analytics knowledge.
• Leverage AI Assistants and Agents to develop insights and experiments on H&W data to drive forward business improvements and innovation initiatives.
• Apply structured problem-solving techniques (process diagrams, root cause analysis, DMAIC problem solving) to frame business problems and roadmaps that maximize value creation.
• Follow and lead others to follow H&W data analytics required practices in delivery of projects to efficiently deliver analytics results on time and of high quality.
• Foster a culture of data use privacy and integrity by maintaining compliance to all data and analytics procedures and adhering to all data policies subject to Walmart H&W.

Requirements

• 5+ years experience in data analytics domains such as healthcare analytics, controlled experiments, strategic insights and reporting, customer loyalty, digital engagement, etc.
• Bachelor's, Master's, or PhD in Applied Math/Statistics, Biostatistics, Industrial/Systems Engineering, Operations Research, Economics, or related fields in applied analysis.
• 5+ years hands-on experience with advanced data analytics in SQL and/or Python.
• 5+ years hands-on experience in data analytics and/or data science within healthcare.
• Strength in communicating analysis results using data story-telling techniques.

Nice to Have

• Data science, data analysis, statistics, or related field.
• Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, or related fields.
• Related industry experience (e.g., retail, merchandising, healthcare, eCommerce).
• Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (e.g., SQL, Python, Spark, Scala, R, Power BI, Tableau).
• Supervisory experience.

Qualifications

• Option 1: 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.
• Option 2: 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.
• Option 3: 6 years' experience in data analysis, data science, statistics, or related field.
• 1 year's supervisory experience.

Benefits & Perks

• Incentive awards for performance.
• 401(k) match, stock purchase plan.
• Paid maternity and parental leave, PTO, and multiple health plans.
• Health benefits including medical, vision, and dental coverage.
• Financial benefits including 401(k), stock purchase, and company-paid life insurance.
• Paid time off benefits including PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
• Other benefits such as short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement.
• PTO and/or PPTO for vacation, sick leave, holidays, or other purposes.
• Live Better U education benefit program covering tuition, books, and fees.