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 Primary Location. This role will work closely with Marketplace Payments, Product, Engineering, Data Science, Risk, Finance, and Operations teams to build scalable analytics capabilities and ensure that payment experiences and new initiatives are supported by clear measurement, performance insights, and data-driven decision making.