Process Mining Technical Analyst/Consultant

The posting, as Miebach Northamerica Career Page wrote it

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

[…]
standing 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