Principal, Data Analyst

Walmart • Bentonville, AR

3d • Onsite

About The Position

Decision Sciences builds a digital understanding of Walmart’s operations and turns data into insight and action at scale. As the analytics landscape rapidly evolves from traditional descriptive analysis to AI powered decision intelligence, our team is investing in modern tools, methods, and ways of working to amplify impact. As a Principal Data Analyst – AI Enabled Analytics, you will operate as a senior individual contributor and technical thought leader, helping shape how AI is applied across analytics workflows—from problem formulation to insight delivery. This role is ideal for a hands on analytics professional who not only applies advanced analytics and AI, but also builds practical solutions, advises others, and elevates the team’s overall capability. You will design and implement AI enabled analytical solutions, develop lightweight web applications and tools, and incorporate machine learning or LLM based components where they meaningfully improve speed, scale, or decision quality. Just as importantly, you will coach and partner with other analysts, helping transition the organization from traditional analytics toward modern, AI augmented analytics practices.

Requirements

• Advanced proficiency in Python and SQL for analytics, modeling, and solution development
• Strong experience translating ambiguous business problems into structured analytical and technical solutions
• Hands‑on experience using AI‑assisted development tools (e.g., Cursor, GitHub Copilot, or similar)
• Experience building end‑to‑end analytical solutions, not just analyses (from data access to insight delivery)
• Ability to communicate complex analytical and AI‑driven concepts clearly to non‑technical stakeholders
• 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.
• 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.
• 6 years' experience in data analysis, data science, statistics, or related field.
• 1 year's supervisory experience.

Nice To Haves

• Building and deploying web applications (e.g., Streamlit, Flask/FastAPI, Dash, or similar frameworks)
• Experience integrating machine learning pipelines or background models into analytical products
• Exposure to LLMs, chat interfaces, or AI‑assisted reporting, including prompt design and evaluation
• Experience operationalizing analytics through automation, services, or internal tools
• Familiarity with cloud or internal platforms used for deploying analytical applications
• Retail, supply chain, operations, or eCommerce analytics experience
• 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

Responsibilities

• Lead AI‑enabled analytics initiatives end‑to‑end: Own problem framing, solution design, development, and delivery for complex, ambiguous business challenges.
• Develop modern analytical solutions: Build reusable, scalable solutions using Python, SQL, and modern AI‑assisted development tools (e.g., Cursor, GitHub Copilot, or internal AI platforms).
• Build and deploy lightweight web applications: Design, develop, and deploy web apps or interactive analytic tools (e.g., dashboards, decision tools, internal utilities) that operationalize analytics and insights.
• Advise on the use of AI, ML, and LLM capabilities: Serve as a translational leader who can bridge business questions and advanced techniques—recognizing opportunities for machine learning or LLM‑enabled components, framing requirements, and partnering with experts to integrate these capabilities into analytics and reporting solutions.
• Advance analytics through AI augmentation: Move beyond static reporting by enabling AI‑driven exploration, narrative generation, decision support, and automation.
• Serve as an advisor and coach: Partner closely with other analysts, acting as a hands‑on mentor and trusted advisor, helping the broader team adopt AI tools and modern development practices responsibly and effectively.
• Translate complexity into clarity: Communicate insights and solutions clearly to senior business and technology leaders, focusing on outcomes, value, and decision impact.

Benefits

• 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.
• PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
• Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

What This Job Offers

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