QualificationsBachelor's degree in Industrial Engineering, Supply Chain, Data Analytics, Information Systems, Computer Science, or a related field2-3 years of experience in data analysis, business intelligence, process mining, systems analysis, or technical consultingStrong understanding of process flows and material flowsExperience working with transactional or operational dataPractical experience with SQL and data preparationStrong attention to detail and ability to validate complex data relationshipsAbility to understand system transactions and connect them to real operational activitiesStrong troubleshooting and problem-solving skillsGood written and verbal communication skillsAbility to work effectively with both technical and business stakeholdersTechnical SkillsStrong SQL skills, including joins, aggregations, window functions, and data-quality checksUnderstanding of data modeling, relational databases, and ETL/ELT conceptsStrong Excel skills for data analysis, validation, and reconciliationExperience working with transactional and operational dataAbility to understand data structures and connect system transactions to operational and material flowsExperience with PQL, particularly when working with Celonis, is preferredFamiliarity with process-mining platforms such as Celonis, SAP Signavio Process Intelligence, UiPath Process Mining, IBM Process Mining, or Apromore is preferred; experience with one or more platforms is sufficientExperience with Power BI or Tableau is preferredFamiliarity with AI, machine learning, or advanced analytics in process-mining work-such as anomaly detection, root-cause analysis, or predictive insights-is a plusExposure to APIs, cloud platforms, or data lakes is an assetCore CompetenciesUnderstanding of operational and material flowsTechnical data analysisData quality and validationStructured troubleshootingAttention to detailDocumentation and organizationCollaboration and communicationAbility to learn new systems and technologiesReliability and ownershipTypical DeliverablesData requirements and source-to-target mappingsData dictionaries and process-flow documentationEvent logs and process mining data modelsKPI calculations and technical definitionsDashboards and analytical viewsData-quality assessmentsTest scripts and validation resultsTechnical documentation and configuration recordsSupport materials for workshops and client presentationsWhy Join Miebach? They will work closely with process mining consultants, data engineers, project managers, and client teams to ensure that the required data, process logic, KPIs, and dashboards are correctly developed and validated.