Job Description About Us At Undocked, we help companies excel in e-commerce by delivering bespoke optimizations and cutting-edge analytics. Our expertise across retail, supply chain, product strategy, and technology enables organizations to accelerate their digital transformation journeys and deliver exceptional customer experiences. Summary We are looking for an experienced MDM Functional Consultant with strong expertise in Master Data Management, Data Governance, and Data Quality within Retail, Supply Chain, or Order Management environments. The ideal candidate will have a strong understanding of enterprise master data processes and the ability to ensure data integrity across Product, Vendor, Location, Pricing, and Assortment domains. This role will focus on strengthening data governance, improving data quality, and supporting critical OMS and Supply Chain business processes. Experience with Simplain MDM is preferred but not mandatory. Key Responsibilities Define and implement master data standards across Product, Vendor, Location, Pricing, and Assortment domains. Establish data ownership models, approval workflows, and data stewardship processes. Maintain data hierarchies, including category, department, class, store clusters, and fulfillment nodes. Design canonical data models, golden record structures, survivorship rules, and match/merge logic. Develop and automate data quality rules covering completeness, validity, consistency, and timeliness. Perform data profiling, identify data quality issues, and lead remediation initiatives. Build data quality scorecards and monitoring dashboards. Support SIT and UAT validation across OMS and Supply Chain applications. Ensure master data integrity across inventory availability, ATP (Available to Promise), sourcing, reservations, replenishment, and fulfillment processes. Collaborate with Merchandising, Supply Chain, and Operations teams to resolve master data gaps. Required Qualifications 5-8 years of experience in Master Data Management, Data Governance, and Data Quality. Strong functional expertise in Retail, Supply Chain, or OMS environments. Hands-on experience with SQL for data profiling, validation, and analysis. Experience with ETL/ELT tools such as Azure Data Factory, Databricks, SSIS, or similar platforms. Exposure to MDM platforms such as Simplain (preferred). Familiarity with REST APIs, JSON, and API-based integrations. Strong understanding of Product, Vendor, and Location master data. Knowledge of UOM structures, pack configurations, lead times, replenishment parameters, and inventory dependencies. Understanding of OMS concepts, including ATP, sourcing, order orchestration, and inventory management. Preferred Skills Experience working on enterprise MDM implementations or modernization initiatives. Exposure to retail merchandising and supply chain data ecosystems. Understanding of data governance frameworks and data stewardship practices.
11/14/2026
Full time
Job Description About Us At Undocked, we help companies excel in e-commerce by delivering bespoke optimizations and cutting-edge analytics. Our expertise across retail, supply chain, product strategy, and technology enables organizations to accelerate their digital transformation journeys and deliver exceptional customer experiences. Summary We are looking for an experienced MDM Functional Consultant with strong expertise in Master Data Management, Data Governance, and Data Quality within Retail, Supply Chain, or Order Management environments. The ideal candidate will have a strong understanding of enterprise master data processes and the ability to ensure data integrity across Product, Vendor, Location, Pricing, and Assortment domains. This role will focus on strengthening data governance, improving data quality, and supporting critical OMS and Supply Chain business processes. Experience with Simplain MDM is preferred but not mandatory. Key Responsibilities Define and implement master data standards across Product, Vendor, Location, Pricing, and Assortment domains. Establish data ownership models, approval workflows, and data stewardship processes. Maintain data hierarchies, including category, department, class, store clusters, and fulfillment nodes. Design canonical data models, golden record structures, survivorship rules, and match/merge logic. Develop and automate data quality rules covering completeness, validity, consistency, and timeliness. Perform data profiling, identify data quality issues, and lead remediation initiatives. Build data quality scorecards and monitoring dashboards. Support SIT and UAT validation across OMS and Supply Chain applications. Ensure master data integrity across inventory availability, ATP (Available to Promise), sourcing, reservations, replenishment, and fulfillment processes. Collaborate with Merchandising, Supply Chain, and Operations teams to resolve master data gaps. Required Qualifications 5-8 years of experience in Master Data Management, Data Governance, and Data Quality. Strong functional expertise in Retail, Supply Chain, or OMS environments. Hands-on experience with SQL for data profiling, validation, and analysis. Experience with ETL/ELT tools such as Azure Data Factory, Databricks, SSIS, or similar platforms. Exposure to MDM platforms such as Simplain (preferred). Familiarity with REST APIs, JSON, and API-based integrations. Strong understanding of Product, Vendor, and Location master data. Knowledge of UOM structures, pack configurations, lead times, replenishment parameters, and inventory dependencies. Understanding of OMS concepts, including ATP, sourcing, order orchestration, and inventory management. Preferred Skills Experience working on enterprise MDM implementations or modernization initiatives. Exposure to retail merchandising and supply chain data ecosystems. Understanding of data governance frameworks and data stewardship practices.
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
Job Description Job Description What Success Looks Like (Objectives): Backlog & Sprint Execution: Own, refine, and prioritize the product backlog for Workday Compensation and Benefits feature sets, driving execution within an Agile delivery model. Functional Requirement Engineering: Translate complex Total Rewards policies, executive compensation plans, and benefits programs into user stories, functional design specs, and Workday business process configurations. Stakeholder Collaboration & Change Management: Partner closely with Total Rewards leadership, Payroll, HR Operations, and HR Business Partners to gather requirements, manage scope expectations, and roll out feature updates. Workday Configuration & Technical Oversight: Maintain deep functional ownership of Workday Compensation, Advanced Compensation, and Benefits modules, including plan setups, eligibility rules, business processes, and outbound integration specs. Deterministic Quality Assurance: Lead End-to-End and User Acceptance Testing (UAT) for annual cycles, patch releases, and system upgrades based on clear "Pass/Fail" criteria to ensure zero-defect rollouts. Vendor & Partner Management: Coordinate with benefits administration partners, insurance carriers, and third-party implementation consultants on API integrations, file feeds, and issue resolution. ROI & Analytics Tracking: Track product adoption, system utilization, and data accuracy metrics to optimize business processes and measure ROI on Workday investments. Core Skills, Competencies, and Key Experiences (What you'll bring) Education and Experience: Bachelor's degree in Information Systems, Business Administration, Human Resources, Finance, or a related field. Minimum of 4+ years of experience supporting, configuring, or leading enterprise platforms, specifically focused on Compensation, Advanced Compensation, and Benefits modules. Preferred: 2+ years of experience in a Product Owner or Systems Analyst role within an Agile/Scrum delivery model. Preferred: Certified Workday Pro in Compensation or Benefits. General & Technical Skills: Total Rewards & Workday Expertise: Hands-on experience configuring Workday eligibility rules, grade profiles, merit/bonus matrices, open enrollment events, and benefits groups. Analytical Excellence: Strong analytical and advanced problem-solving skills, with the ability to diagnose complex audit exceptions and technical data flow issues. Strategic Communication: Excellent communication and interpersonal skills, capable of explaining complex Workday concepts to non-technical HR leaders. Autonomy: Proven ability to work independently, handle highly sensitive compensation data with discretion, and deliver under tight deadlines during annual rewards cycles. Agile Proficiency: Practical experience managing user stories, acceptance criteria, and sprint prioritization in tools like Jira or Azure DevOps. Compliance Awareness: Solid understanding of data privacy regulations (e.g., GDPR, CCPA) and compensation compliance standards (e.g., FLSA, Pay Transparency laws) as they relate to HRIS data. Visa sponsorship not available for this role Benefits: We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary here: EchoStar Benefits The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies. Compensation is based on the role's location and is subject to change. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws. This job posting will be active for a minimum of 3 days and will continue to extend by 3 days until the position is filled. We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process. EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make and jobs.accessible to users. Please contact if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. If you have questions regarding your application or the recruitment process please email . Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish) Salary Range Compensation: $83160 - $136625/YearlyAbout our Department In Human Resources, we collaborate with the innovators who drive EchoStar's creative ambition. Our mission is to transform HR technology tools and create a world-class employee experience. This team is responsible for managing and optimizing our critical HR Applications, driving positive change for the company and our team members. About Our Company EchoStar builds solutions that help families and communities stay connected. Our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes, and Sling TV. We serve millions of customers with offerings ranging from satellite to streaming services and global to personal networking solutions.
11/11/2026
Full time
Job Description Job Description What Success Looks Like (Objectives): Backlog & Sprint Execution: Own, refine, and prioritize the product backlog for Workday Compensation and Benefits feature sets, driving execution within an Agile delivery model. Functional Requirement Engineering: Translate complex Total Rewards policies, executive compensation plans, and benefits programs into user stories, functional design specs, and Workday business process configurations. Stakeholder Collaboration & Change Management: Partner closely with Total Rewards leadership, Payroll, HR Operations, and HR Business Partners to gather requirements, manage scope expectations, and roll out feature updates. Workday Configuration & Technical Oversight: Maintain deep functional ownership of Workday Compensation, Advanced Compensation, and Benefits modules, including plan setups, eligibility rules, business processes, and outbound integration specs. Deterministic Quality Assurance: Lead End-to-End and User Acceptance Testing (UAT) for annual cycles, patch releases, and system upgrades based on clear "Pass/Fail" criteria to ensure zero-defect rollouts. Vendor & Partner Management: Coordinate with benefits administration partners, insurance carriers, and third-party implementation consultants on API integrations, file feeds, and issue resolution. ROI & Analytics Tracking: Track product adoption, system utilization, and data accuracy metrics to optimize business processes and measure ROI on Workday investments. Core Skills, Competencies, and Key Experiences (What you'll bring) Education and Experience: Bachelor's degree in Information Systems, Business Administration, Human Resources, Finance, or a related field. Minimum of 4+ years of experience supporting, configuring, or leading enterprise platforms, specifically focused on Compensation, Advanced Compensation, and Benefits modules. Preferred: 2+ years of experience in a Product Owner or Systems Analyst role within an Agile/Scrum delivery model. Preferred: Certified Workday Pro in Compensation or Benefits. General & Technical Skills: Total Rewards & Workday Expertise: Hands-on experience configuring Workday eligibility rules, grade profiles, merit/bonus matrices, open enrollment events, and benefits groups. Analytical Excellence: Strong analytical and advanced problem-solving skills, with the ability to diagnose complex audit exceptions and technical data flow issues. Strategic Communication: Excellent communication and interpersonal skills, capable of explaining complex Workday concepts to non-technical HR leaders. Autonomy: Proven ability to work independently, handle highly sensitive compensation data with discretion, and deliver under tight deadlines during annual rewards cycles. Agile Proficiency: Practical experience managing user stories, acceptance criteria, and sprint prioritization in tools like Jira or Azure DevOps. Compliance Awareness: Solid understanding of data privacy regulations (e.g., GDPR, CCPA) and compensation compliance standards (e.g., FLSA, Pay Transparency laws) as they relate to HRIS data. Visa sponsorship not available for this role Benefits: We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary here: EchoStar Benefits The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies. Compensation is based on the role's location and is subject to change. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws. This job posting will be active for a minimum of 3 days and will continue to extend by 3 days until the position is filled. We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process. EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make and jobs.accessible to users. Please contact if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. If you have questions regarding your application or the recruitment process please email . Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish) Salary Range Compensation: $83160 - $136625/YearlyAbout our Department In Human Resources, we collaborate with the innovators who drive EchoStar's creative ambition. Our mission is to transform HR technology tools and create a world-class employee experience. This team is responsible for managing and optimizing our critical HR Applications, driving positive change for the company and our team members. About Our Company EchoStar builds solutions that help families and communities stay connected. Our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes, and Sling TV. We serve millions of customers with offerings ranging from satellite to streaming services and global to personal networking solutions.
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-
