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. Turn unclear business problems into practical analytics solutions· Lead and coordinate UAT for Spark Driver initiatives, partnering with business, product, and tech teams to align testing, track issues, and support· Provide ad-hoc analysis and leadership-ready insights for incidents, escalations, and strategic initiatives· Mentor team members and promote analytics best practices.·