Masters, MBA, JD, MD) • Experience in business intelligence, data analytics, reporting, or a related field • Experience with Tableau, Power BI, MicroStrategy, or similar business intelligence and visualization tools • Strong analytical and problem-solving skills with experience working across complex datasets • Experience supporting reporting, dashboarding, and KPI-based analysis • Experience leveraging automation and AI-enabled tools to improve efficiency, reduce manual processes, and support operational decision-making • Strong written and verbal communication skills, with the ability to work effectively with technical and non-technical stakeholders • Strong attention to detail and ability to manage competing priorities • Experience in the payments industry, including high-volume online transaction environments; knowledge of PCI DSS strongly preferred • Experience gathering requirements, understanding business problems, and translating them into analytical or reporting solutions • Experience with data profiling, data conversion, solution implementation, sensitive data handling, and troubleshooting • Experience identifying and implementing scalable automation solutions for recurring analytics or reporting processes • Familiarity with AI-enabled analytics tools and workflow solutions • Familiarity with Hadoop, Hive, Impala, or similar big data environments • Familiarity with statistical modeling or data mining techniques • Demonstrated ability to manage a defined workstream or small project independently • Team-oriented, collaborative, diplomatic, and flexible approach • Demonstrated intellectual curiosity and commitment to continuous learning. Working closely with data engineers, business stakeholders, and end users, you will help ensure the integrity of data feeds, promote sound data quality and reporting practices, and deliver insights that support operational performance in a fast-paced payments environment.