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) Primary Location. Collaborating with global stakeholders, these teams drive process enhancements, strengthen data governance, and accelerate innovation by delivering automated testing and data quality solutions that enable reliable, data-driven decision-making and support business growth.