We are seeking a Process Mining Engineer to design and implement process intelligence solutions using Celonis for enterprise-scale business transformation initiatives. This role requires expertise in analyzing complex business processes, building data models, and developing actionable insights using process mining techniques.
You will work closely with business stakeholders, data engineers, and IT teams to deliver data-driven process optimization solutions across domains such as supply chain, finance, and operations.
Responsibilities & Accountabilities
Design and develop end-to-end process mining solutions using Celonis EMS platform
Build and optimize data models (PQL, Data Model Editor) for large-scale enterprise datasets
Extract, transform, and load (ETL) data from multiple source systems (SAP, Oracle, SQL, etc.)
Analyze business processes to identify bottlenecks, inefficiencies, and root causes
Develop interactive dashboards, KPIs, and analytical views in Celonis Studio
Implement process conformance checks and deviation analysis
Design and deploy action flows, alerts, and automation use cases
Collaborate with business stakeholders to translate requirements into process mining use cases
Ensure data quality, governance, and consistency across process models
Integrate Celonis with external systems (APIs, Power BI, etc.) for extended analytics
Optimize performance of data pipelines and dashboards
Document process models, KPIs, and implementation architecture
Participate in code reviews, best practices, and knowledge sharing sessions
Drive project delivery with ownership of quality, timelines, and innovation
Degree And Qualification
Bachelor's degree in computer science, Information Systems, Data Analytics, or related field
3 to 6 years of total experience in Process Mining (1+ years in Celonis preferred)
Must Technical Skills
Strong hands-on experience with Celonis EMS / Process Mining tools
Expertise in PQL (Process Query Language)
Experience in data modeling and ETL processes
Strong SQL skills and experience working with large datasets
Knowledge of business process frameworks (Order-to-Cash, Procure-to-Pay, etc.)
Experience integrating data from ERP systems
Understanding of process mining concepts (event logs, variants, conformance checking)
Familiarity with automation/workflow tools within Celonis
Experience with APIs and data connectors
Strong version control and documentation practices
Must-have
Hands-on experience in Celonis implementation projects (end-to-end).
Strong experience in data modeling and process analysis in production environments.
