Senior Manager, Data Analytics (Merchandising, Transform)

Position Summary

The Senior Manager, Data Analytics leads the development and execution of data strategies and experiences that drive informed business decisions across assortment. This role requires expertise in data quality management, advanced analytics, and visualization techniques to translate complex data into actionable insights. The position involves guiding teams, collaborating with stakeholders, and ensuring alignment with organizational objectives. By leveraging deep business understanding and technical proficiency, the Senior Manager fosters continuous improvement, supports data governance, and champions innovative solutions that enhance operational efficiency and strategic outcomes.

What you'll do

• Identify and assess data flows to ensure alignment with business requirements and quality standards.
• Develop and implement data strategies that unlock business value and support decision-making processes.
• Collaborate with cross-functional teams to translate business problems into data-driven solutions through data analysis and visualization efforts to generate actionable insights.
• Oversee data quality management, including profiling, cleansing, and monitoring to maintain data integrity.
• Present complex data findings clearly to influence stakeholders and support strategic initiatives.

About the team

Our team drives transformation in the assortment space by reducing merchandising time to identify optimal products that maximize impact at Walmart. We leverage advanced data and analytical capabilities alongside user experience design to empower category ownership and decision-making autonomy. Operating in a highly cross-functional environment, the team addresses immediate challenges while building innovative solutions for the future of retail. Through effective workflow management, data strategy, and process improvement, we enable data-driven decisions that enhance business intelligence and merchandising strategies, supporting Walmart’s commitment to delivering value and excellence to customers.

Benefits

• Competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet.
• Health benefits include medical, vision and dental coverage.
• Financial benefits include 401(k), stock purchase and company-paid life insurance.
• Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
• Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

Minimum Qualifications

• Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum 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.

Preferred Qualifications

• Data science, data analysis, statistics, or related field, 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, Power BI, or Tableau), Supervisory experience