About The Position

The Transaction Analytics team within eCommerce Decision Science is seeking a highly strategic and technically strong Principal Data Analyst to lead analytics for payments initiatives across our ecommerce experience. This role will serve as a thought partner to senior leadership, driving data-informed decisions that strengthens financial services initiatives, tender utilization, and more. You will operate across all discovery, cart, checkout, and account domains with significant ownership. This is a high-visibility role requiring deep technical expertise, executive storytelling, and the ability to influence cross-functional stakeholders.

Requirements

  • 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.
  • Strong best-practice 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.
  • Minimum of 2 years' experience in data analysis, data science, statistics, or related field with a Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field; OR
  • Minimum of 4 years' experience in data analysis, data science, statistics, or related field with a Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field; OR
  • Minimum of 6 years' experience in data analysis, data science, statistics, or related field.

Nice To Haves

  • Experience in ecommerce, payments products, and/or retail.
  • Background in credit and loan analytics and/or customer wallet and payment platforms.
  • Exposure to experimentation at scale.
  • Experience working in regulated or policy-driven environments.
  • 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 analytics strategy for Transaction Analytics, establishing scalable measurement frameworks and KPIs.
  • Drive experimentation strategy for new product features and experiences by designing intelligent, valid experiments using an in-house platform.
  • Lead complex data mining and exploratory analyses to identify risk patterns, experience gaps, and behavioral trends.
  • Develop executive-ready dashboards and reporting solutions that provide actionable insights across Transactions cross-functional team.
  • Partner cross-functionally with Product, Business Strategy, Design, and Engineering teams to translate ambiguous business problems into structured analytical solutions.
  • 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.
  • 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.

Benefits

  • Competitive pay
  • Performance-based bonus awards
  • Medical coverage
  • Vision coverage
  • Dental coverage
  • 401(k)
  • Stock purchase
  • Company-paid life insurance
  • PTO (including sick leave)
  • Parental leave
  • Family care leave
  • Bereavement
  • Jury duty
  • Voting leave
  • Short-term disability
  • Long-term disability
  • Company discounts
  • Military Leave Pay
  • Adoption and surrogacy expense reimbursement
  • Live Better U (Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities)
  • Tuition, books, and fees completely paid for by Walmart (for Live Better U programs)
  • Annual or quarterly performance bonuses
  • Stock (additional compensation for certain positions)
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