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Miebach

Global supply chain consulting and engineering

Technical Analyst or Consultant: Process Mining

Data EngineeringUpdated on Nov 13
Full-timeMontreal, QC, Canada

About the Job

Requirements

  • A bachelor's degree in industrial engineering, supply chain management, data analytics, information systems, computer science, or a related field is required.
  • Two to three years of experience in data analysis, business intelligence, process mining, systems analysis, or technical consulting is required.
  • A strong understanding of process flows and material flows is required.
  • Experience working with transactional or operational data is required.
  • Hands-on experience with SQL and data preparation is required.
  • The candidate must be able to validate complex data relationships and connect system transactions to real operational activities.
  • The candidate must be able to work effectively with technical and business stakeholders.
  • The candidate must be proficient in SQL, including joins, aggregations, window functions, and data-quality checks.
  • The candidate must understand data modeling, relational databases, and ETL and ELT concepts.
  • The candidate must be proficient in Excel for data analysis, validation, and reconciliation.

Responsibilities

  • Collaborate on multidisciplinary project teams and support process-mining projects from data discovery through delivery and handoff.
  • Participate in project meetings, workshops, working sessions, and client reviews, and regularly report progress, risks, dependencies, and outstanding technical issues.
  • Understand and document business processes and material flows, translate business and process requirements into technical data requirements, and identify process objects, activities, timestamps, attributes, and relationships.
  • Support mapping data between source systems and the process-mining platform.
  • Extract, clean, transform, and prepare data from WMS, TMS, ERP, MES, YMS, and other systems.
  • Create and maintain event logs and data models for process mining, and validate data, process logic, calculations, and analytical results.
  • Investigate data-quality issues, missing events, inconsistent reference data, and unexpected results.
  • Configure process analyses, key performance indicators, dashboards, filters, and process views.
  • Contribute to identifying process deviations, bottlenecks, and improvement opportunities when needed.
  • Support preparation of project deliverables, demonstrations, and client presentations.
  • Troubleshoot technical issues and coordinate resolutions with project, IT, and platform specialist teams.
  • Prepare test cases and support system testing and user acceptance testing; participate in validating system functionality, data connections, and analytical results.
  • Maintain technical documentation, data dictionaries, assumption logs, and configuration records; document data sources, transformations, process logic, test results, and relevant project decisions.

Desired Qualifications

  • Experience with PQL, particularly in a Celonis environment, is an asset.
  • Familiarity with process-mining platforms such as Celonis, SAP Signavio Process Intelligence, UiPath Process Mining, IBM Process Mining, or Apromore is an asset; experience with one or more is sufficient.
  • Experience with Power BI or Tableau is an asset.
  • Familiarity with applying artificial intelligence, machine learning, or advanced analytics in process-mining projects—for example, anomaly detection, root-cause analysis, or forecasting—is an asset.
  • Knowledge of APIs, cloud platforms, or data lakes is an asset.

About the Company

Miebach

Global supply chain consulting and engineering

Miebach Consulting provides global supply chain and production engineering services to mid-sized and large companies. It designs strategies, develops feasible cost-effective concepts, identifies IT solutions and equipment, and handles implementation through a three-pillar model: Supply Chain Transformation, Engineering & Implementation, and Operational Excellence, backed by a global regional network. The company differentiates itself with industry-focused specialization and a hands-on, end-to-end delivery approach that moves from concept to execution using local knowledge across Europe, the Americas, and Asia. Its goal is to help customers achieve supply chain excellence and sustainable competitive advantage by reducing costs while improving service and flexibility.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Frankfurt, Germany
Founded
1973

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