Job Description Job Description About Miebach Miebach 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 role We 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 Responsibilities Project Collaboration and Delivery Work 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 Requirements Understand 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 Models Extract, 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 Insights Configure 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 Troubleshooting Troubleshoot 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 Management Maintain technical documentation, data dictionaries, assumptions logs, and configuration records. Document data sources, transformations, process logic, testing results, and relevant project decisions. Qualifications Bachelor's degree in Industrial Engineering, Supply Chain, Data Analytics, Information Systems, Computer Science, or a related field 2-3 years of experience in data analysis, business intelligence, process mining, systems analysis, or technical consulting Strong understanding of process flows and material flows Experience working with transactional or operational data Practical experience with SQL and data preparation Strong attention to detail and ability to validate complex data relationships Ability to understand system transactions and connect them to real operational activities Strong troubleshooting and problem-solving skills Good written and verbal communication skills Ability to work effectively with both technical and business stakeholders Technical Skills Strong SQL skills, including joins, aggregations, window functions, and data-quality checks Understanding of data modeling, relational databases, and ETL/ELT concepts Strong Excel skills for data analysis, validation, and reconciliation Experience working with transactional and operational data Ability to understand data structures and connect system transactions to operational and material flows Experience with PQL, particularly when working with Celonis, is preferred Familiarity 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 sufficient Experience with Power BI or Tableau is preferred Familiarity with AI, machine learning, or advanced analytics in process-mining work-such as anomaly detection, root-cause analysis, or predictive insights-is a plus Exposure to APIs, cloud platforms, or data lakes is an asset Core Competencies Understanding of operational and material flows Technical data analysis Data quality and validation Structured troubleshooting Attention to detail Documentation and organization Collaboration and communication Ability to learn new systems and technologies Reliability and ownership Typical Deliverables Data requirements and source-to-target mappings Data dictionaries and process-flow documentation Event logs and process mining data models KPI calculations and technical definitions Dashboards and analytical views Data-quality assessments Test scripts and validation results Technical documentation and configuration records Support materials for workshops and client presentations Why Join Miebach? Flexible work hours & hybrid/remote options Competitive compensation + performance-based bonuses Comprehensive health benefits (medical, dental, vision) Career development programs & international training Flexible PTO, generous parental leave, and paid holidays 401(k) contributions & financial wellness programs PIa69d29723c4e-9205
11/12/2026
Full time
Job Description Job Description About Miebach Miebach 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 role We 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 Responsibilities Project Collaboration and Delivery Work 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 Requirements Understand 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 Models Extract, 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 Insights Configure 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 Troubleshooting Troubleshoot 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 Management Maintain technical documentation, data dictionaries, assumptions logs, and configuration records. Document data sources, transformations, process logic, testing results, and relevant project decisions. Qualifications Bachelor's degree in Industrial Engineering, Supply Chain, Data Analytics, Information Systems, Computer Science, or a related field 2-3 years of experience in data analysis, business intelligence, process mining, systems analysis, or technical consulting Strong understanding of process flows and material flows Experience working with transactional or operational data Practical experience with SQL and data preparation Strong attention to detail and ability to validate complex data relationships Ability to understand system transactions and connect them to real operational activities Strong troubleshooting and problem-solving skills Good written and verbal communication skills Ability to work effectively with both technical and business stakeholders Technical Skills Strong SQL skills, including joins, aggregations, window functions, and data-quality checks Understanding of data modeling, relational databases, and ETL/ELT concepts Strong Excel skills for data analysis, validation, and reconciliation Experience working with transactional and operational data Ability to understand data structures and connect system transactions to operational and material flows Experience with PQL, particularly when working with Celonis, is preferred Familiarity 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 sufficient Experience with Power BI or Tableau is preferred Familiarity with AI, machine learning, or advanced analytics in process-mining work-such as anomaly detection, root-cause analysis, or predictive insights-is a plus Exposure to APIs, cloud platforms, or data lakes is an asset Core Competencies Understanding of operational and material flows Technical data analysis Data quality and validation Structured troubleshooting Attention to detail Documentation and organization Collaboration and communication Ability to learn new systems and technologies Reliability and ownership Typical Deliverables Data requirements and source-to-target mappings Data dictionaries and process-flow documentation Event logs and process mining data models KPI calculations and technical definitions Dashboards and analytical views Data-quality assessments Test scripts and validation results Technical documentation and configuration records Support materials for workshops and client presentations Why Join Miebach? Flexible work hours & hybrid/remote options Competitive compensation + performance-based bonuses Comprehensive health benefits (medical, dental, vision) Career development programs & international training Flexible PTO, generous parental leave, and paid holidays 401(k) contributions & financial wellness programs PIa69d29723c4e-9205
About Miebach Miebach 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 role We 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 Responsibilities Project Collaboration and Delivery Work 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 Requirements Understand 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 Models Extract, 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 Insights Configure 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 Troubleshooting Troubleshoot 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 Management Maintain technical documentation, data dictionaries, assumptions logs, and configuration records. Document data sources, transformations, process logic, testing results, and relevant project decisions. Qualifications Bachelor's degree in Industrial Engineering, Supply Chain, Data Analytics, Information Systems, Computer Science, or a related field 2-3 years of experience in data analysis, business intelligence, process mining, systems analysis, or technical consulting Strong understanding of process flows and material flows Experience working with transactional or operational data Practical experience with SQL and data preparation Strong attention to detail and ability to validate complex data relationships Ability to understand system transactions and connect them to real operational activities Strong troubleshooting and problem-solving skills Good written and verbal communication skills Ability to work effectively with both technical and business stakeholders Technical Skills Strong SQL skills, including joins, aggregations, window functions, and data-quality checks Understanding of data modeling, relational databases, and ETL/ELT concepts Strong Excel skills for data analysis, validation, and reconciliation Experience working with transactional and operational data Ability to understand data structures and connect system transactions to operational and material flows Experience with PQL, particularly when working with Celonis, is preferred Familiarity 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 sufficient Experience with Power BI or Tableau is preferred Familiarity with AI, machine learning, or advanced analytics in process-mining work-such as anomaly detection, root-cause analysis, or predictive insights-is a plus Exposure to APIs, cloud platforms, or data lakes is an asset Core Competencies Understanding of operational and material flows Technical data analysis Data quality and validation Structured troubleshooting Attention to detail Documentation and organization Collaboration and communication Ability to learn new systems and technologies Reliability and ownership Typical Deliverables Data requirements and source-to-target mappings Data dictionaries and process-flow documentation Event logs and process mining data models KPI calculations and technical definitions Dashboards and analytical views Data-quality assessments Test scripts and validation results Technical documentation and configuration records Support materials for workshops and client presentations Why Join Miebach? Flexible work hours & hybrid/remote options Competitive compensation + performance-based bonuses Comprehensive health benefits (medical, dental, vision) Career development programs & international training Flexible PTO, generous parental leave, and paid holidays 401(k) contributions & financial wellness programs PIf8a54c77a20b-9205
11/10/2026
Full time
About Miebach Miebach 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 role We 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 Responsibilities Project Collaboration and Delivery Work 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 Requirements Understand 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 Models Extract, 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 Insights Configure 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 Troubleshooting Troubleshoot 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 Management Maintain technical documentation, data dictionaries, assumptions logs, and configuration records. Document data sources, transformations, process logic, testing results, and relevant project decisions. Qualifications Bachelor's degree in Industrial Engineering, Supply Chain, Data Analytics, Information Systems, Computer Science, or a related field 2-3 years of experience in data analysis, business intelligence, process mining, systems analysis, or technical consulting Strong understanding of process flows and material flows Experience working with transactional or operational data Practical experience with SQL and data preparation Strong attention to detail and ability to validate complex data relationships Ability to understand system transactions and connect them to real operational activities Strong troubleshooting and problem-solving skills Good written and verbal communication skills Ability to work effectively with both technical and business stakeholders Technical Skills Strong SQL skills, including joins, aggregations, window functions, and data-quality checks Understanding of data modeling, relational databases, and ETL/ELT concepts Strong Excel skills for data analysis, validation, and reconciliation Experience working with transactional and operational data Ability to understand data structures and connect system transactions to operational and material flows Experience with PQL, particularly when working with Celonis, is preferred Familiarity 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 sufficient Experience with Power BI or Tableau is preferred Familiarity with AI, machine learning, or advanced analytics in process-mining work-such as anomaly detection, root-cause analysis, or predictive insights-is a plus Exposure to APIs, cloud platforms, or data lakes is an asset Core Competencies Understanding of operational and material flows Technical data analysis Data quality and validation Structured troubleshooting Attention to detail Documentation and organization Collaboration and communication Ability to learn new systems and technologies Reliability and ownership Typical Deliverables Data requirements and source-to-target mappings Data dictionaries and process-flow documentation Event logs and process mining data models KPI calculations and technical definitions Dashboards and analytical views Data-quality assessments Test scripts and validation results Technical documentation and configuration records Support materials for workshops and client presentations Why Join Miebach? Flexible work hours & hybrid/remote options Competitive compensation + performance-based bonuses Comprehensive health benefits (medical, dental, vision) Career development programs & international training Flexible PTO, generous parental leave, and paid holidays 401(k) contributions & financial wellness programs PIf8a54c77a20b-9205
Job Description Job Description About Miebach Miebach Consulting is a global leader in supply chain advisory and engineering. For more than 50 years, we have partnered with organizations worldwide to design, optimize, and transform their supply chains into strategic competitive advantages. Our consulting approach integrates deep operational expertise, advanced analytics, and innovative thinking to deliver measurable business impact. About the role Miebach Consulting is seeking a Supply Chain Engineering professional to support the design and delivery of innovative supply chain solutions across North America. This role is ideal for an experienced engineering professional who combines strong technical expertise with client-facing consulting capabilities and is passionate about helping organizations improve their distribution, manufacturing, and logistics operations. In this role, you will lead and support project workstreams, develop engineering solutions, collaborate with client stakeholders, and contribute throughout the project lifecycle. You will work closely with clients and internal project teams to analyze operations, evaluate technologies, develop facility and process designs, and support the implementation of strategic supply chain initiatives. This position offers the opportunity to work with leading organizations across industries such as consumer goods, life sciences, retail, fashion and apparel, manufacturing, and logistics while continuing to build expertise in supply chain engineering, automation, and operational transformation. Key Responsibilities Supply Chain Engineering and Design Lead engineering workstreams for supply chain consulting and implementation projects from project initiation through final recommendation and implementation planning Develop warehouse, distribution center, manufacturing, and logistics facility concepts and layouts Perform operational assessments, process analysis, capacity evaluations, and future-state design activities Develop labor models, throughput calculations, storage strategies, slotting concepts, and material flow analyses Evaluate automation technologies including ASRS, AMRs, conveyors, sortation systems, goods-to-person solutions, robotics, and warehouse execution technologies Support facility design activities from concept development through implementation planning Prepare engineering calculations, technical documentation, design recommendations, and executive-level presentations Develop business cases and investment analyses to support operational and automation initiatives Client Engagement and Project Leadership Serve as the primary day-to-day client lead for assigned engineering workstreams Build and maintain strong relationships with client stakeholders across operational, managerial, and executive levels Facilitate workshops, design reviews, project meetings, and stakeholder discussions Translate operational challenges into practical and executable engineering solutions Present findings, recommendations, and project updates to client leadership teams Manage project scope, schedules, deliverables, and priorities for assigned workstreams Identify project risks, develop mitigation strategies, and proactively address client concerns Support successful project delivery while maintaining high levels of client satisfaction Solution Development and Implementation Support Analyze warehouse, distribution, manufacturing, and material flow operations to identify capacity, productivity, and performance improvement opportunities Develop facility layouts, material flow concepts, process designs, equipment requirements, and automation solutions Evaluate material handling and warehouse automation technologies, including conveyors, sortation, AS/RS, AMRs, AGVs, storage systems, and related technologies Support equipment and automation vendor evaluations, solution comparisons, RFPs, and procurement activities Perform throughput, capacity, labor, and operational analyses to support engineering recommendations Contribute to distribution center design, facility planning, network optimization, transportation, and broader supply chain strategy initiatives Support implementation activities including detailed design reviews, commissioning, testing, operational readiness, and go-live Develop recommendations that balance operational performance, capital investment, flexibility, and long-term scalability Team Leadership and Practice Development Provide technical leadership, coaching, and mentorship to Consultants and Analysts Review project deliverables and support quality assurance efforts across engineering engagements Contribute to proposal development, client presentations, and business development initiatives Identify follow-on opportunities within existing client relationships and support account growth activities Contribute to thought leadership, internal knowledge sharing, and practice development initiatives Qualifications Bachelor's degree in Industrial Engineering, Mechanical Engineering, Supply Chain Engineering, Logistics, or a related field 5-10 years of experience in supply chain engineering, distribution, material handling, automation, manufacturing, or consulting Experience designing or improving warehouses, distribution centers, or material handling operations Experience evaluating or implementing warehouse automation and material handling solutions Strong analytical, problem-solving, client-facing, and project management skills Proficiency with Microsoft Excel and engineering analysis tools Willingness to travel up to 40-60% Preferred Consulting or professional services experience Experience with AutoCAD, AnyLogic, FlexSim, or similar tools Knowledge of WMS, WES, WCS, and warehouse automation technologies Experience with equipment/vendor selection, commissioning, or implementation Lean, Six Sigma, PMP, PE, or other relevant certifications PIba9545ca21a6-7659
11/06/2026
Full time
Job Description Job Description About Miebach Miebach Consulting is a global leader in supply chain advisory and engineering. For more than 50 years, we have partnered with organizations worldwide to design, optimize, and transform their supply chains into strategic competitive advantages. Our consulting approach integrates deep operational expertise, advanced analytics, and innovative thinking to deliver measurable business impact. About the role Miebach Consulting is seeking a Supply Chain Engineering professional to support the design and delivery of innovative supply chain solutions across North America. This role is ideal for an experienced engineering professional who combines strong technical expertise with client-facing consulting capabilities and is passionate about helping organizations improve their distribution, manufacturing, and logistics operations. In this role, you will lead and support project workstreams, develop engineering solutions, collaborate with client stakeholders, and contribute throughout the project lifecycle. You will work closely with clients and internal project teams to analyze operations, evaluate technologies, develop facility and process designs, and support the implementation of strategic supply chain initiatives. This position offers the opportunity to work with leading organizations across industries such as consumer goods, life sciences, retail, fashion and apparel, manufacturing, and logistics while continuing to build expertise in supply chain engineering, automation, and operational transformation. Key Responsibilities Supply Chain Engineering and Design Lead engineering workstreams for supply chain consulting and implementation projects from project initiation through final recommendation and implementation planning Develop warehouse, distribution center, manufacturing, and logistics facility concepts and layouts Perform operational assessments, process analysis, capacity evaluations, and future-state design activities Develop labor models, throughput calculations, storage strategies, slotting concepts, and material flow analyses Evaluate automation technologies including ASRS, AMRs, conveyors, sortation systems, goods-to-person solutions, robotics, and warehouse execution technologies Support facility design activities from concept development through implementation planning Prepare engineering calculations, technical documentation, design recommendations, and executive-level presentations Develop business cases and investment analyses to support operational and automation initiatives Client Engagement and Project Leadership Serve as the primary day-to-day client lead for assigned engineering workstreams Build and maintain strong relationships with client stakeholders across operational, managerial, and executive levels Facilitate workshops, design reviews, project meetings, and stakeholder discussions Translate operational challenges into practical and executable engineering solutions Present findings, recommendations, and project updates to client leadership teams Manage project scope, schedules, deliverables, and priorities for assigned workstreams Identify project risks, develop mitigation strategies, and proactively address client concerns Support successful project delivery while maintaining high levels of client satisfaction Solution Development and Implementation Support Analyze warehouse, distribution, manufacturing, and material flow operations to identify capacity, productivity, and performance improvement opportunities Develop facility layouts, material flow concepts, process designs, equipment requirements, and automation solutions Evaluate material handling and warehouse automation technologies, including conveyors, sortation, AS/RS, AMRs, AGVs, storage systems, and related technologies Support equipment and automation vendor evaluations, solution comparisons, RFPs, and procurement activities Perform throughput, capacity, labor, and operational analyses to support engineering recommendations Contribute to distribution center design, facility planning, network optimization, transportation, and broader supply chain strategy initiatives Support implementation activities including detailed design reviews, commissioning, testing, operational readiness, and go-live Develop recommendations that balance operational performance, capital investment, flexibility, and long-term scalability Team Leadership and Practice Development Provide technical leadership, coaching, and mentorship to Consultants and Analysts Review project deliverables and support quality assurance efforts across engineering engagements Contribute to proposal development, client presentations, and business development initiatives Identify follow-on opportunities within existing client relationships and support account growth activities Contribute to thought leadership, internal knowledge sharing, and practice development initiatives Qualifications Bachelor's degree in Industrial Engineering, Mechanical Engineering, Supply Chain Engineering, Logistics, or a related field 5-10 years of experience in supply chain engineering, distribution, material handling, automation, manufacturing, or consulting Experience designing or improving warehouses, distribution centers, or material handling operations Experience evaluating or implementing warehouse automation and material handling solutions Strong analytical, problem-solving, client-facing, and project management skills Proficiency with Microsoft Excel and engineering analysis tools Willingness to travel up to 40-60% Preferred Consulting or professional services experience Experience with AutoCAD, AnyLogic, FlexSim, or similar tools Knowledge of WMS, WES, WCS, and warehouse automation technologies Experience with equipment/vendor selection, commissioning, or implementation Lean, Six Sigma, PMP, PE, or other relevant certifications PIba9545ca21a6-7659
Miebach is seeking a Process Mining Technical Analyst to support process mining projects from data discovery through delivery. You will prepare and validate operational data, develop event logs and process models, configure analyses and dashboards, troubleshoot technical issues, and document project requirements and results. The role works with client teams and consultants across supply chain, warehouse, transportation, and manufacturing environments. Responsibilities Collaborate with multidisciplinary teams and support projects from data discovery through delivery and handover. Document operational processes and translate requirements into technical data specifications and source-system mappings. Extract, clean, transform, and prepare operational data from WMS, TMS, ERP, MES, YMS, and other systems. Build and maintain event logs and process mining data models; validate data, process logic, and analytical outputs. Configure process mining analyses, KPIs, dashboards, filters, and process views; investigate deviations and bottlenecks. Troubleshoot technical issues, support testing and user acceptance testing, and maintain technical documentation. Required Skills SQLData extraction Data cleaning and transformation Event-log development Process mining configuration Data modeling Data validation KPI and dashboard configuration Operational data analysis System testing and troubleshooting
11/03/2026
Full time
Miebach is seeking a Process Mining Technical Analyst to support process mining projects from data discovery through delivery. You will prepare and validate operational data, develop event logs and process models, configure analyses and dashboards, troubleshoot technical issues, and document project requirements and results. The role works with client teams and consultants across supply chain, warehouse, transportation, and manufacturing environments. Responsibilities Collaborate with multidisciplinary teams and support projects from data discovery through delivery and handover. Document operational processes and translate requirements into technical data specifications and source-system mappings. Extract, clean, transform, and prepare operational data from WMS, TMS, ERP, MES, YMS, and other systems. Build and maintain event logs and process mining data models; validate data, process logic, and analytical outputs. Configure process mining analyses, KPIs, dashboards, filters, and process views; investigate deviations and bottlenecks. Troubleshoot technical issues, support testing and user acceptance testing, and maintain technical documentation. Required Skills SQLData extraction Data cleaning and transformation Event-log development Process mining configuration Data modeling Data validation KPI and dashboard configuration Operational data analysis System testing and troubleshooting
About Miebach Miebach 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 role We 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 Responsibilities Project Collaboration and Delivery Work 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 Requirements Understand 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 Models Extract, 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 Insights Configure 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 Troubleshooting Troubleshoot 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 Management Maintain technical documentation, data dictionaries, assumptions logs, and configuration records. Document data sources, transformations, process logic, testing results, and relevant project decisions. Qualifications Bachelor's degree in Industrial Engineering, Supply Chain, Data Analytics, Information Systems, Computer Science, or a related field 2-3 years of experience in data analysis, business intelligence, process mining, systems analysis, or technical consulting Strong understanding of process flows and material flows Experience working with transactional or operational data Practical experience with SQL and data preparation Strong attention to detail and ability to validate complex data relationships Ability to understand system transactions and connect them to real operational activities Strong troubleshooting and problem-solving skills Good written and verbal communication skills Ability to work effectively with both technical and business stakeholders Technical Skills Strong SQL skills, including joins, aggregations, window functions, and data-quality checks Understanding of data modeling, relational databases, and ETL/ELT concepts Strong Excel skills for data analysis, validation, and reconciliation Experience working with transactional and operational data Ability to understand data structures and connect system transactions to operational and material flows Experience with PQL, particularly when working with Celonis, is preferred Familiarity 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 sufficient Experience with Power BI or Tableau is preferred Familiarity with AI, machine learning, or advanced analytics in process-mining work-such as anomaly detection, root-cause analysis, or predictive insights-is a plus Exposure to APIs, cloud platforms, or data lakes is an asset Core Competencies Understanding of operational and material flows Technical data analysis Data quality and validation Structured troubleshooting Attention to detail Documentation and organization Collaboration and communication Ability to learn new systems and technologies Reliability and ownership Typical Deliverables Data requirements and source-to-target mappings Data dictionaries and process-flow documentation Event logs and process mining data models KPI calculations and technical definitions Dashboards and analytical views Data-quality assessments Test scripts and validation results Technical documentation and configuration records Support materials for workshops and client presentations Why Join Miebach? Flexible work hours & hybrid/remote options Competitive compensation + performance-based bonuses Comprehensive health benefits (medical, dental, vision) Career development programs & international training Flexible PTO, generous parental leave, and paid holidays 401(k) contributions & financial wellness programs PI8211be5-
11/02/2026
Full time
About Miebach Miebach 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 role We 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 Responsibilities Project Collaboration and Delivery Work 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 Requirements Understand 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 Models Extract, 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 Insights Configure 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 Troubleshooting Troubleshoot 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 Management Maintain technical documentation, data dictionaries, assumptions logs, and configuration records. Document data sources, transformations, process logic, testing results, and relevant project decisions. Qualifications Bachelor's degree in Industrial Engineering, Supply Chain, Data Analytics, Information Systems, Computer Science, or a related field 2-3 years of experience in data analysis, business intelligence, process mining, systems analysis, or technical consulting Strong understanding of process flows and material flows Experience working with transactional or operational data Practical experience with SQL and data preparation Strong attention to detail and ability to validate complex data relationships Ability to understand system transactions and connect them to real operational activities Strong troubleshooting and problem-solving skills Good written and verbal communication skills Ability to work effectively with both technical and business stakeholders Technical Skills Strong SQL skills, including joins, aggregations, window functions, and data-quality checks Understanding of data modeling, relational databases, and ETL/ELT concepts Strong Excel skills for data analysis, validation, and reconciliation Experience working with transactional and operational data Ability to understand data structures and connect system transactions to operational and material flows Experience with PQL, particularly when working with Celonis, is preferred Familiarity 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 sufficient Experience with Power BI or Tableau is preferred Familiarity with AI, machine learning, or advanced analytics in process-mining work-such as anomaly detection, root-cause analysis, or predictive insights-is a plus Exposure to APIs, cloud platforms, or data lakes is an asset Core Competencies Understanding of operational and material flows Technical data analysis Data quality and validation Structured troubleshooting Attention to detail Documentation and organization Collaboration and communication Ability to learn new systems and technologies Reliability and ownership Typical Deliverables Data requirements and source-to-target mappings Data dictionaries and process-flow documentation Event logs and process mining data models KPI calculations and technical definitions Dashboards and analytical views Data-quality assessments Test scripts and validation results Technical documentation and configuration records Support materials for workshops and client presentations Why Join Miebach? Flexible work hours & hybrid/remote options Competitive compensation + performance-based bonuses Comprehensive health benefits (medical, dental, vision) Career development programs & international training Flexible PTO, generous parental leave, and paid holidays 401(k) contributions & financial wellness programs PI8211be5-
Miebach is seeking a Supply Chain Automation Engineer to design and optimize automated warehouses and end-to-end supply chain solutions for global clients. In this role, you will analyze data, model material flows, and develop concepts for automation, robotics, and intralogistics systems. You will support technology selection, create functional specifications, and assist in implementation and testing. Working in a collaborative, international consulting environment, you will partner with cross-functional teams to drive efficiency, reliability, and innovation across FMCG, retail, automotive, pharma, and manufacturing supply chains. Responsibilities Analyze supply chain and warehouse data to identify automation opportunities and performance gaps. Design automated warehouse and intralogistics concepts, including material flow, storage, and handling systems. Develop models and simulations to evaluate scenarios, capacities, and system performance. Support selection and specification of automation technologies, WMS/TMS/WES, and related equipment. Prepare functional specifications, layout drawings, and technical documentation for implementation. Collaborate with cross-functional and international teams to deliver client projects on time and within scope. Support testing, commissioning, and ramp-up of automated solutions at client sites. Define KPIs, build dashboards, and track performance improvements for implemented solutions. Required Skills Supply chain design and optimization Warehouse automation and intralogistics engineering Data analysis and modeling (Excel, SQL, Python/R) Simulation and optimization tools (e.g., Any Logic, Arena) WMS/TMS/WES system design or implementation Process mapping and continuous improvement (Lean/Six Sigma) Requirements gathering and functional specification writing Project management and stakeholder communication Technical documentation and reporting KPI definition and performance analytics
11/01/2026
Full time
Miebach is seeking a Supply Chain Automation Engineer to design and optimize automated warehouses and end-to-end supply chain solutions for global clients. In this role, you will analyze data, model material flows, and develop concepts for automation, robotics, and intralogistics systems. You will support technology selection, create functional specifications, and assist in implementation and testing. Working in a collaborative, international consulting environment, you will partner with cross-functional teams to drive efficiency, reliability, and innovation across FMCG, retail, automotive, pharma, and manufacturing supply chains. Responsibilities Analyze supply chain and warehouse data to identify automation opportunities and performance gaps. Design automated warehouse and intralogistics concepts, including material flow, storage, and handling systems. Develop models and simulations to evaluate scenarios, capacities, and system performance. Support selection and specification of automation technologies, WMS/TMS/WES, and related equipment. Prepare functional specifications, layout drawings, and technical documentation for implementation. Collaborate with cross-functional and international teams to deliver client projects on time and within scope. Support testing, commissioning, and ramp-up of automated solutions at client sites. Define KPIs, build dashboards, and track performance improvements for implemented solutions. Required Skills Supply chain design and optimization Warehouse automation and intralogistics engineering Data analysis and modeling (Excel, SQL, Python/R) Simulation and optimization tools (e.g., Any Logic, Arena) WMS/TMS/WES system design or implementation Process mapping and continuous improvement (Lean/Six Sigma) Requirements gathering and functional specification writing Project management and stakeholder communication Technical documentation and reporting KPI definition and performance analytics
