Process Mining Technical Analyst/Consultant

About MiebachMiebach Consulting is one of the world’s leading supply chain-focused consulting and engineering firms. For over 50 years, we have helped clients design, optimize, and implement end-to-end supply chain solutions across industries including consumer goods, food, pharma, retail, and high-tech. Our global expertise spans Supply Chain Transformation, Engineering & Operational Excellence, and Digitalization.We are proud to be recognized among SupplyChainBrain’s Top 100 Supply Chain Partners, with many of Gartner’s Top 25 Supply Chains relying on Miebach to support their strategic initiatives.About the roleWe are seeking a Process Mining Technical Analyst to provide technical support throughout process mining projects. The role focuses on data preparation, event-log development, process mining configuration, data validation, troubleshooting, and analytical support.The successful candidate must understand process and material flows, particularly within warehouse, transportation, manufacturing, or supply chain environments. 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.The role may contribute to identifying process issues and improvement opportunities, but developing business recommendations is not the primary responsibility.Key ResponsibilitiesProject Collaboration and DeliveryWork collaboratively as an active member of multidisciplinary project teams.Support process mining projects from data discovery through delivery and handover.Participate in project meetings, workshops, working sessions, and client reviews.Provide regular updates on progress, risks, dependencies, and open technical topics.Process Understanding and RequirementsUnderstand and document operational processes and material flows.Translate business and process requirements into technical data requirements.Identify process objects, activities, timestamps, attributes, and relationships.Support data mapping between source systems and the process mining platform.Data Preparation and Process ModelsExtract, clean, transform, and prepare data from WMS, TMS, ERP, MES, YMS, and other systems.Build and maintain event logs and process mining data models.Validate data, process logic, calculations, and analytical outputs.Investigate data-quality issues, missing events, inconsistent master data, and unexpected results.Process Mining Analysis and InsightsConfigure process mining analyses, KPIs, dashboards, filters, and process views.Contribute to the identification of process deviations, bottlenecks, and improvement opportunities when required.Support the preparation of project deliverables, demonstrations, and client presentations.Testing and Technical TroubleshootingTroubleshoot technical issues and coordinate resolution with the project team, IT teams, and platform specialists.Prepare test cases and support system testing and user acceptance testing.Assist with validating system functionality, data connections, and analytical outputs.Documentation and Knowledge ManagementMaintain technical documentation, data dictionaries, assumptions logs, and configuration records.Document data sources, transformations, process logic, testing results, and relevant project decisions.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?Flexible work hours & hybrid/remote optionsCompetitive compensation + performance-based bonusesComprehensive health benefits (medical, dental, vision)Career development programs & international trainingFlexible PTO, generous parental leave, and paid holidays401(k) contributions & financial wellness programsPI40ebf3207412-26289-41839205