Principal, Data Analyst - Decision Sciences

Walmart • Bentonville, AR

1d • Onsite

About The Position

Decision Sciences builds a digital understanding of Walmart’s operations and turns data into insights that drive action at scale. Within End to End Operations, our team supports analytics across Supply Chain and Store Operations, partnering closely with data science, data enablement, and governance teams. Our work ranges from enterprise scorecards to deep analytical initiatives and fast turn executive insights—always grounded in rigor, context, and clear storytelling. The demand for our work is strong, the problems are complex, and the impact is real. Do you thrive on solving complex, ambiguous business problems using data? Are you motivated by turning sophisticated analysis into insights that influence strategy and decision-making at scale? As a Principal Data Analyst – Decision Sciences, End-to-End Operations, you will operate as a senior individual contributor and analytical thought leader, leading complex analytics initiatives that shape business direction. This role is ideal for a seasoned analytics professional with strong technical depth, structured problem-solving skills, and the ability to influence through clear, compelling data-driven narratives. You will partner closely with senior business, product, and technology leaders to translate ambiguous questions into well-defined analytical approaches—leveraging advanced analytics, and where appropriate, AI-enabled techniques, to deliver actionable insights and scalable solutions. The Principal Data Analyst – Decision Sciences, End-to-End Operations is a high-visibility, senior Individual Contributor role responsible for leading complex analytical work end-to-end.

Requirements

• Advanced SQL and Python for data analysis, exploration, and statistical methods
• Exploratory data analysis, hypothesis testing, and quantitative reasoning
• How to assess data quality, define metrics, and quantify business impact
• How to build clear, compelling narratives from complex data
• Visualization best practices for executive and senior stakeholder audiences
• 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.

Nice To Haves

• Applying machine learning or AI techniques to analytics problems when appropriate
• Working with large-scale, complex data ecosystems
• Developing or contributing to interactive analytics experiences or lightweight web-based visualizations to enhance insight delivery
• Modern BI and visualization tools (e.g., Tableau, Power BI, Python/R visualization libraries)
• Retail, eCommerce, supply chain, merchandising, or customer analytics domains
• 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)

Responsibilities

• Own problem formulation and analytical strategy for ambiguous, high-impact business challenges
• Apply advanced analytics, exploratory analysis, and statistical techniques to uncover insights
• Evaluate and apply AI or machine-learning-based approaches when they meaningfully improve analytical outcomes
• Design scalable measurement frameworks and success metrics aligned to business objectives
• Translate complex findings into clear, executive-ready stories and visualizations
• Mentor other analysts and raise standards for analytical rigor, data quality, and storytelling
• Leading complex analytical problem solving – Defining hypotheses, assumptions, metrics, and analytical approaches for high-stakes business questions
• Driving deep analysis and insight discovery – Conducting exploratory and statistical analysis to uncover trends, risks, and opportunities
• Applying advanced techniques thoughtfully – Leveraging AI or machine learning selectively to enhance insight quality or scalability when business value is clear
• Elevating storytelling and visualization – Creating intuitive, insightful visualizations and, when useful, interactive or web-based analytical views to drive understanding and action
• Ensuring data quality and trust – Partnering with data and technology teams to ensure analytics are built on reliable, well-governed data
• Influencing without authority – Communicating clearly and credibly with senior leaders and cross-functional partners
• Raising the bar for analytics – Mentoring analysts and establishing best practices in analysis, visualization, and problem formulation

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
• Number of Employees: 1-10 employees