Apply strong knowledge of data structures, event logs, and systemgenerated transactional data to reconstruct how work flows across systems and teams. Extract, transform, and analyze eventlevel and transactional data from multiple sources. Link and integrate data across systems to create a comprehensive view of endtoend processes. Identify process bottlenecks, variations, and inefficiencies through data analysis. Generate insights to support automation and process optimization opportunities. Translate complex data findings into actionable process improvement insights for stakeholders. Bachelors degree in Engineering, Operations, or a related field. Minimum of 3 years, preferred 5 years experience in process intelligence and/or automation. Strong knowledge of process mapping and analytical techniques. Hands-on experience with A - Idriven process mining tools and methodologies. Understanding of automation technologies and their application in business processes. Experience with data governance practices and data integrity management. Ability to define, track, and report on metrics and frameworks that measure process improvement outcomes. Preferred experience using enterprise process mining platforms (e.g., Signavio, Celonis) to analyze and optimize business processes - - Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office four days per week effective June 1, 2026. Before June 1, 2026, candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday. - -