Analyst, Walmart Analytics

Mars • Bentonville, AR

1d

About The Position

The Data Scientist Analyst, Walmart Analytics will transform customer, shopper, sales, and operational data into actionable insights that accelerate growth for Mars and Walmart/Sam’s Club. The role combines data science, business analytics, and commercial acumen, partnering with Sales, Category, Supply, Finance, and other cross-functional teams to identify opportunities, improve decision-making, and build scalable analytics solutions.

Requirements

• Bachelor’s degree in Data Science, Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related field, or equivalent experience.
• At least 2 years of experience in data science, business analytics, sales analytics, category management, or a related analytical role.
• Strong analytical and problem-solving skills, with experience working with large, complex datasets.
• Advanced Excel skills and experience with Power BI or similar visualization tools.
• Working knowledge of SQL, Python, Databricks, or similar analytical tools.
• Strong communication and data-storytelling skills, with the ability to translate complex analysis into actionable business recommendations.
• Ability to work collaboratively in a fast-paced, cross-functional environment.

Nice To Haves

• Experience in CPG, retail, or customer analytics.
• Experience supporting Walmart or another major omnichannel retailer.
• Familiarity with Walmart Scintilla, Nielsen/Circana, or other syndicated data sources.
• Experience with dashboard development, process automation, forecasting, statistical modeling, or predictive analytics.

Responsibilities

• Integrate Walmart Scintilla, syndicated, and internal Mars data to create a comprehensive view of business performance.
• Develop and maintain Power BI dashboards, reporting, and scalable analytical solutions that improve business decision-making.
• Apply statistical and data-science techniques to forecasting, opportunity identification, and business problem-solving.
• Automate manual processes and develop repeatable, self-service analytics solutions.
• Translate complex analysis into clear insights, recommendations, and compelling business stories for leadership and customer teams.
• Analyze performance drivers, including sales, consumption, distribution, assortment, pricing, promotion, and merchandising.
• Partner with Sales, Category, Supply, Finance, and other teams on strategic initiatives, customer meetings, planning, and ad hoc business questions.

Benefits

• Learning and development opportunities, including Mars University.
• Competitive compensation and benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level