Principal, Data Analyst
Walmart
IT, Data Science
Bentonville, AR, USA
Posted on Mar 13, 2026
Position Summary...
What you'll do...
The Driver Trust & Safety team within OPD analytics is seeking a highly strategic and technically strong Principal Data Analyst to lead analytics for compliance initiatives across Last Mile. This role will serve as a thought partner to senior leadership, driving data-informed decisions that strengthen driver compliance frameworks, platform integrity, fraud & identity management and earnings transparency. You will operate across all Last Mile domains, with significant ownership supporting fraud & identity, Earnings Transformation, ensuring analytical rigor, measurable impact, and scalable reporting solutions. This is a high-visibility role requiring deep technical expertise, executive storytelling, and the ability to influence cross-functional stakeholders. What You’ll Do- Own compliance analytics strategy for Driver Trust & Safety, establishing scalable measurement frameworks and KPIs.
- Lead complex data mining and exploratory analyses to identify risk patterns, compliance gaps, behavioral trends, and operational vulnerabilities.
- Develop executive-ready dashboards and reporting solutions that provide actionable insights across Last Mile domains.
- Partner cross-functionally with Product, Operations, Legal, Compliance, and Earnings teams to translate ambiguous business problems into structured analytical solutions.
- Drive analytical support for Fraud & Identity Management, Earnings Transformation initiatives, including earnings transparency, fairness metrics, and incentive effectiveness.
- Contribute to and optimize lightweight ETL processes, ensuring high data quality, reliability, and governance standards.
- Influence senior leaders through compelling storytelling grounded in data.
- Raise the analytical bar across the organization by mentoring analysts and defining best practices in data governance, documentation, and experimentation.
- 8+ years of experience in analytics, data science, or business intelligence within complex, high-scale environments.
- Advanced proficiency in Python (pandas, numpy, statistical modeling) and SQL for large-scale data manipulation.
- Strong expertise in data mining, exploratory analysis, and statistical thinking.
- Demonstrated experience building and scaling data visualization solutions (Tableau, Looker, etc.) for executive audiences.
- Working knowledge of ETL processes and data pipeline fundamentals.
- Proven ability to translate complex datasets into strategic narratives that drive executive decisions.
- Experience influencing cross-functional teams without direct authority.
- Strong business acumen and comfort operating in ambiguity.
- Experience in gig-economy, ecommerce or last-mile logistics ecosystems.
- Background in compliance, risk analytics, or Trust & Safety domains.
- Exposure to driver/partner economics
- Experience working in regulated or policy-driven environments.
- Think enterprise-first and connect analytics to broader business strategy.
- Operate as a subject matter expert in compliance analytics and earnings insights.
- Influence senior stakeholders through credibility, clarity, and data-driven conviction.
- Build scalable solutions rather than one-off analyses.
- Elevate team capability through mentorship and analytical rigor.
- Demonstrate intellectual curiosity, ownership mindset, and operational excellence.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
Bentonville, Arkansas US-30008: The annual salary range for this position is $90,000.00 - $180,000.00
San Bruno, California US-08848 | Sunnyvale, California US-11789: The annual salary range for this position is $117,000.00 - $234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: 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. Option 2: 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. Option 3: 6 years' experience in data analysis, data science, statistics, or related field.Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
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)