Process Mining Technical Analyst/Consultant

Miebach

Fishers (IN)

Hybrid

USD 70,000 - 100,000

Full time

7 days ago

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Benefits offered by this job

Flexible hours

Hybrid/remote options

Bonuses

Job summary

Miebach is seeking a Process Mining Technical Analyst to support data prep, event-log development, and KPI dashboards in warehouse, transportation, manufacturing, and supply chain contexts.

You will work with process mining consultants and data engineers to ensure data quality, validate models, and deliver actionable insights for client teams. This role offers hybrid work options and a collaborative, technically challenging environment.

Qualifications

Bachelor’s degree in Industrial Engineering, Supply Chain, Data Analytics, Information Systems, Computer Science, or 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.

Responsibilities

Work collaboratively as part of multidisciplinary project teams.
Support process mining projects from data discovery through delivery and handover.
Participate in project meetings, workshops, and client reviews.
Provide regular updates on progress, risks, dependencies, and open technical topics.
Understand and document operational processes and material flows.
Translate business requirements into technical data requirements.
Extract, clean, transform, and prepare data from various systems.
Build and maintain event logs and process mining data models.
Configure process mining analyses, KPIs, dashboards, and views.
Troubleshoot technical issues and coordinate resolution with stakeholders.
Maintain technical documentation and data dictionaries.
Prepare test cases and support system testing and user acceptance testing.

Skills

SQL proficiency

Process mining

Data analysis

Stakeholder communication

Attention to detail

Education

Bachelor's degree

Tools

Celonis

SAP Signavio Process Intelligence

UiPath Process Mining

IBM Process Mining

Apromore

Power BI

Excel

Job description

Process Mining Technical Analyst/Consultant

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