Role Overview
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.
This 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.
What are we looking for?
- Bachelor's degree in Data Science, Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related field, or equivalent experience.
- 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.
Preferred Qualifications
- 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.
What will be your key 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.
What can you expect from Mars?
At Mars, you'll work alongside talented Associates guided by The Five Principles, with opportunities to learn, grow, and make an impact. Mars offers best-in-class learning and development, including Mars University, along with competitive compensation and benefits.