Principal, Data Analyst - Transaction Analytics, Payments

Walmart Walmart · Retail · Sunnyvale, CA +1

Principal Data Analyst role focused on Transaction Analytics for Walmart's ecommerce payments initiatives. Responsibilities include owning analytics strategy, driving experimentation, leading data mining and exploratory analyses, developing dashboards and reporting, partnering cross-functionally, optimizing ETL processes, and influencing senior leaders. Requires advanced proficiency in Python and SQL, strong data mining and statistical skills, and experience with data visualization and ETL processes. Experience in ecommerce, payments, or regulated environments is preferred.

What you'd actually do

  1. Own analytics strategy for Transaction Analytics, establishing scalable measurement frameworks and KPIs.
  2. Drive experimentation strategy for new product features and experiences by designing intelligent, valid experiments using an in-house platform.
  3. Lead complex data mining and exploratory analyses to identify risk patterns, experience gaps, and behavioral trends.
  4. Develop executive-ready dashboards and reporting solutions that provide actionable insights across Transactions cross-functional team.
  5. Partner cross-functionally with Product, Business Strategy, Design, and Engineering teams to translate ambiguous business problems into structured analytical solutions.

Skills

Required

  • Python
  • SQL
  • data mining
  • exploratory analysis
  • statistical thinking
  • data visualization solutions
  • ETL processes
  • data pipeline fundamentals

Nice to have

  • ecommerce
  • payments products
  • retail
  • credit and loan analytics
  • customer wallet and payment platforms
  • experimentation at scale
  • regulated or policy-driven environments

What the JD emphasized

  • advanced proficiency in Python
  • advanced proficiency in SQL
  • strong expertise in data mining
  • strong expertise in exploratory analysis
  • strong expertise in statistical thinking
  • strong best-practice knowledge of ETL processes
  • strong best-practice knowledge of data pipeline fundamentals
  • experience working in regulated or policy-driven environments