Highly analytical and detail-oriented Celonis Data Analyst to drive process excellence using process mining and data analytics. This role will focus on extracting insights from enterprise systems, building Celonis dashboards, and enabling data-driven decision-making to optimize business processes.

Responsibilities

Key Responsibilities
Process Mining & Analysis
• Use Celonis to analyze end-to-end business processes
• Identify inefficiencies, bottlenecks, and deviations from standard processes.
• Develop actionable insights and recommend process improvements.
Data Management & Integration
• Ensure data quality, consistency, and integrity within Celonis data models.
• Collaborate with IT Data Engineering teams to maintain and optimize data pipelines.
Dashboarding & Reporting
• Build and maintain Celonis analyses, dashboards, and KPIs.
• Create visualizations that clearly communicate process performance and opportunities.
• Support stakeholders with ad hoc reporting and insights.
Stakeholder Engagement
• Partner with business teams to understand process challenges and goals.
• Translate business requirements into analytical solutions. Continuous Improvement
• Monitor implemented improvements and measure impact.
• Support automation initiatives (e.g., action flows, alerts).
• Stay up to date with new Celonis features and best practices.

Key Skills
• Process Mining & Optimization
• Data Analysis & Visualization
• SQL, PQL & Data Modeling
• Stakeholder Communication
• Business Process Knowledge
• Attention to Detail
Soft Skills
• Strong communication and storytelling ability
• Curiosity and continuous learning mindset
• Ability to work independently and collaboratively
• Critical thinking and attention to detail
• Experience in Supply Chain business processes advantageous

Experience and education

Required Qualifications
• Hands-on experience with Celonis (or similar tools)
• Strong SQL skills and experience with data modeling
• Experience with ERP systems (e.g., SAP)
• Strong analytical and problem-solving skills

Preferred Qualifications
• Experience with Python (or R - optional) for data analysis
• Familiarity with APIs and data integration techniques
• Experience with process improvement methodologies (Lean, Six Sigma)
• Knowledge of Celonis EMS components (Data Integration, Studio, Action Flows)
• Relevant Celonis Academy Courses