Manager, Advanced Analytics (Marketplace Payments and Financial Services)

Walmart-posted 3 months ago
$80,000 - $202,000/Yr
Full-time • Mid Level
Bentonville, AR
General Merchandise Retailers
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This role is a key member of the Marketplace Payments and Financial Services team, leveraging analytics, data science, and AI to deliver data-driven insights and drive operational excellence across payment solutions. The ideal candidate has experience with a broad range of financial products, deep knowledge of payments, credit, and fraud strategies, and a proven ability to develop innovative, data-driven solutions. This highly strategic role will collaborate closely with cross-functional teams and senior leaders across Walmart Marketplace.

  • Apply advanced analytics & data science techniques—including anomaly detection, statistical analysis, and pattern recognition—to analyze seller behavior, payment and non-payments related data for achieving operational excellence.
  • Utilize programming skills (Python, SQL) and big data tools to process large, complex datasets, extracting actionable insights that enhance payment efficiency, improve seller experience and reduce risk.
  • Design and implement scalable data pipelines and workflows, collaborating with tech teams to integrate and enrich data from multiple sources, including third parties.
  • Build and maintain real-time dashboards and monitoring systems (using Tableau, Looker, or similar) to track key payment risk metrics, operational KPIs, and trends.
  • Conduct rigorous statistical testing and experimentation (A/B testing, hypothesis testing) to validate risk strategies and optimize processes.
  • Employ AI methods where applicable to automate anomaly detection and pattern identification, improving alert accuracy and minimizing false positives.
  • Work cross-functionally with Partner Operations, Trust & Safety, Product, Engineering, and other teams to translate data science insights into effective payment risk management and enhanced seller experience.
  • Master's or Bachelor's degree in a quantitative field with 5+ years of relevant experience.
  • Strong background in analytics, data science, or business intelligence, preferably in payments or financial services.
  • Proficient in SQL, Python (or similar), and familiar with machine learning tools and big data tech (Hive, Spark).
  • Excellent communication and collaboration skills, able to work effectively across teams in a fast-paced environment.
  • Solid understanding of e-commerce metrics and payment risk indicators.
  • Proven ability to lead data-driven projects with clear, actionable results.
  • Certificate in business analytics, data mining, or statistical analysis.
  • Masters: Business Administration.
  • Masters: Information Systems.
  • Masters: Statistics.
  • Health benefits including medical, vision and dental coverage.
  • Financial benefits including 401(k), stock purchase and company-paid life insurance.
  • Paid time off benefits including PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
  • Short-term and long-term disability.
  • Company discounts.
  • Military Leave Pay.
  • Adoption and surrogacy expense reimbursement.
  • Live Better U education benefit program for full-time and part-time associates.
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