Senior Celonis Data Analyst

Role overview

Use process mining and analytics to help teams understand how business processes perform and where they can improve. You will analyze enterprise-system data, develop dashboards and KPIs, and translate findings into practical recommendations that support better decisions and measurable process improvements.

Responsibilities - Analyze end-to-end processes in a process mining platform, identifying bottlenecks, inefficiencies, and deviations from expected flows. - Develop actionable recommendations and work with teams to translate findings into improvement opportunities. - Maintain data quality and integrity in analytical models, coordinating with data engineering teams on pipeline needs. - Build and maintain analyses, dashboards, KPIs, and visualizations that explain process performance. - Respond to stakeholder reporting needs, clarify business questions, and turn requirements into analytical work. - Track the impact of changes and support automation initiatives such as alerts or action flows.

Requirements - Hands-on experience with Celonis or a similar process mining tool. - Strong SQL and data modeling skills, plus experience working with ERP data. - Strong analytical and problem-solving ability, with careful attention to detail. - Ability to communicate findings clearly and work independently as well as collaboratively.

Nice to have - Python or R for analysis, familiarity with APIs and data integration, or experience with Lean, Six Sigma, or other process improvement methods. - Knowledge of platform components such as data integration, dashboards, and action flows; relevant platform training is useful. - Supply chain process experience.