Senior Manager, Data Science - Merchandising Analytics

Walmart Walmart · Retail · Bentonville, AR

Senior Manager, Data Science - Merchandising Analytics leads data-driven evaluation and strategic initiatives to support business growth and operational effectiveness. This role is responsible for conducting comprehensive data analysis to uncover actionable insights across membership & merchandising and translating complex data into clear strategies that drive business impact. This leader partners closely with cross-functional teams — including Merchandising, Membership and Marketing — to operationalize insights and enable data-informed decision-making. The role also plays a key part in supporting merchants by identifying opportunities and driving new merchandise initiatives that enhance customer value and business performance. Success in this role requires strong collaboration, strategic thinking and the ability to manage multiple priorities while aligning with organizational goals. The Merchandising Analytics team leverages advanced analytics, machine learning, and artificial intelligence to generate actionable insights, drive strategic initiatives, and foster strong stakeholder partnerships. By combining deep business acumen with data expertise, the team continuously improves efficiency and supports execution of strategies aligned with company objectives.

What you'd actually do

  1. Conduct comprehensive data analysis to uncover actionable insights related to membership behavior and merchandise performance.
  2. Translate analytical findings into clear, actionable recommendations that inform business and merchandising strategies.
  3. Partner with Merchandising, Membership, Marketing, and other cross-functional teams to operationalize insights and drive measurable outcomes.
  4. Support merchants in identifying opportunities and executing new merchandise initiatives that improve assortment, performance, and customer experience.
  5. Provide data-driven analysis to refine business strategies and influence decision-making at multiple levels.

Skills

Required

  • Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.
  • Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field.
  • 7 years' experience in an analytics or related field.

Nice to have

  • Data science
  • Advanced analytics
  • Business analysis
  • Membership and merchandise domains
  • Cross-functional team collaboration
  • Merchandise strategy
  • Stakeholder management
  • Project management
  • Team leadership
  • Coaching
  • Performance management
  • Skill-building

What the JD emphasized

  • Proven expertise in data science, advanced analytics, and business analysis, with a track record of delivering actionable insights.
  • Strong ability to analyze complex datasets and translate findings into strategic recommendations, particularly in membership and merchandise domains.
  • Experience partnering with cross-functional teams (Merchandising, Marketing, Membership) to operationalize insights and drive business impact.
  • Demonstrated ability to support and influence merchandise strategy and new initiative development through data-driven insights.
  • Excellent communication and stakeholder management skills, with the ability to influence decision-making.
  • Ability to manage multiple projects, prioritize effectively, and adapt strategies based on results and feedback.
  • Strong leadership experience in mentoring and developing high-performing teams.