This role is part of the GDE OPEX Team, focusing on various GDE OPEX processes and tools. The position requires 5-6 years of experience, with a strong emphasis on Process Mining and Data Analysis.

Responsibilities :

- Build, manage, and generate business value from Celonis models for multiple use cases, including adding or modifying data sources, creating automated alerts, and leveraging Action Engine, Transformation Center, and Celonis ML Workbench.

- Map processes to identify non-value-added steps, inefficiencies, and bottlenecks.

- Discover, monitor, and improve processes by extracting and analyzing insights from event logs within Process Mining/Celonis tools.

- Collaborate with technical and non-technical stakeholders to understand business challenges, design process mining initiatives, and prioritize requests.

- Act as a primary point of contact for internal clients, helping identify process trends, inefficiencies, and bottlenecks within business workflows.

- Support data validation between source systems and Celonis models.

- Develop process insights by defining KPIs, identifying inefficiencies, and performing root cause analyses.

- Design automated workflows for process monitoring, anomaly detection, and real-time corrective or preventive actions using Action Engine, Action Flows, and other Celonis functionalities.

- Translate analytical findings and ideas into storyboards, dashboards, and presentations for business stakeholders.

Your Profile :

We are looking for a Process Mining Specialist with expertise in Celonis, data analytics, and process improvement, to join our GDE OPEX team.

Required Qualifications :

- 3- 4 years of experience in data analysis, data mining, and data transformation.

- Strong proficiency in SQL/PQL scripting, including complex queries (joins, unions, window functions, etc.).

- Hands-on experience with Celonis - ability to design, manage, and optimize Celonis models and extract actionable insights.

- Solid understanding of process improvement methodologies and process analytics tools.

- Basic knowledge of Python scripting (NumPy, Pandas, Seaborn, Matplotlib, Scikit-learn, etc.).

- Excellent communication and presentation skills.

- Strong understanding of business processes across domains.

- Minimum 5-6 years of total professional experience.

Preferred Skills :

- Experience with Business Intelligence (BI) tools such as Tableau or Power BI.