Senior Manager – Data Analytics
| Company | Walmart |
|---|---|
| Location | Bentonville, AR, USA, Sunnyvale, CA, USA |
| Salary | $90000 – $234000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior |
Requirements
- Bachelor’s in Business, Statistics, Computer Science, or similar field and at least 7 years (5 years with Master’s) industry experience preferably in Credit Risk, Payments, Financial Services, or similar space
- 1 year’s supervisory experience
Responsibilities
- Support and help evolve Marketplace’s Payments Credit Risk strategy to enable expansion/build out of Seller Services solving for Growth, Losses, Seller experience and Monetization
- Develop Credit risk models and Seller segmentation in working with partner Data Science teams leveraging internal and external data sources to assess credit risk exposure holistically
- Partner with Seller services to understand specific Payment and Risk needs, help with centralized solutions/controls as well as Custom controls to mitigate risk while balancing for experience
- Work closely with Seller Services teams, Billing and Payment Operations to enable and enforce billing and credit risk controls on Seller Services
- Prioritize and Execute on the Credit Risk roadmap and associated initiatives partnering directly with product, technology and operations teams
- Prepare business cases and financial justifications to support the initiatives. Work closely with internal business teams, treasury and finance to identify vendors/partners, optimize cost, spend as well as profitability
- Partner with internal Risk management to ensure we are growing and monetizing in a risk responsible fashion. Collaborate to build appropriate risk processes and framework to support the payments/fintech initiatives
- Ensure close collaboration with Account management, Marketing and Operations to drive acceptance of new products and services with Sellers. Build key measurements and a test/iterate philosophy to improve results.
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)
- Supervisory experience