(USA) Senior, Data Analyst
About The Position
Join Walmart as a Senior Data Analyst, using data analysis, SQL, business intelligence, and vibe coding to deliver actionable insights that help investigations identify fraud and risk. Lead analytics from problem definition through data discovery, analysis, and communication of findings. The work supports faster investigations, risk and exposure measurement, reduced manual effort, and earlier identification of emerging risks. Identify and validate data sources, ensure data quality, and apply advanced analytical techniques to complex business challenges in collaboration with investigators. The team partners with Global Investigations and Legal to deliver data solutions involving analytics, AI, automation, and enterprise tools. It combines technical expertise with investigative insight to detect complex fraud, identify risks and control gaps, and provide intelligence that accelerates investigations and supports risk mitigation. The team also develops analytical products and AI-powered automation to improve efficiency and expand investigative capabilities across the enterprise.
Requirements
- Extensive experience in data analysis, including proficiency with SQL and data visualization tools such as Tableau and Power BI.
- Strong understanding of business intelligence, data quality management, and data governance principles.
- Ability to translate complex business requirements into actionable data solutions aligned with organizational strategy.
- Expertise in exploratory data analysis, statistical techniques, and automation to identify trends and support decision-making.
- Stakeholder management, effective communication, and problem-solving skills in cross-functional teams.
- Demonstrated thought leadership in using data-driven insights to improve business outcomes and operational efficiency.
- One of the following minimum qualification paths: bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance, or a related field and 2 years of experience in data analysis, data science, statistics, or a related field; a master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field; or 4 years of experience in data analysis, data science, statistics, or a related field.
Nice To Haves
- Experience in data science, data analysis, statistics, or a related field.
- Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Information Technology, or a related field.
- Related industry experience, such as retail, merchandising, healthcare, or eCommerce.
- Successful completion of assessments in data analysis and business intelligence tools and scripting languages such as SQL, Python, Spark, Scala, R, Power BI, or Tableau.
Responsibilities
- Lead investigative analytics engagements, turning ambiguous fraud, misconduct, and enterprise risk questions into structured hypotheses, analytical approaches, and actionable findings.
- Discover, evaluate, and connect data across complex enterprise systems to identify patterns, anomalies, relationships, behaviors, and investigative leads.
- Use advanced SQL, statistical techniques, exploratory analysis, and automation to analyze large-scale datasets and develop repeatable analytical methodologies.
- Communicate complex analysis as clear investigative intelligence and executive-level insights to support decision-making, investigations, remediation, and risk mitigation.
- Identify recurring investigative needs and develop scalable analytics that reduce manual effort and turnaround time.
Benefits
- Medical, vision, and dental coverage.
- 401(k).
- Stock purchase plan.
- Company-paid life insurance.
- Paid time off, including sick leave, parental leave, family care leave, bereavement, jury duty, and voting leave.
- Short-term and long-term disability.
- Company discounts.
- Military Leave Pay.
- Adoption and surrogacy expense reimbursement.
- Live Better U paid education benefit, including tuition, books, and fees for eligible programs.
- Annual or quarterly performance bonuses.
- Stock may be included as additional compensation for certain positions.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
