Celonis CoE Analyst

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360

Data Pipeline Development:
Design, develop, and maintain robust data pipelines for extracting, transforming, and loading (ETL) data into the Celonis platform from various source systems.

Data Modeling:
Create and optimize data models within Celonis to support process intelligence activities, ensuring accurate representation of business processes and enabling in-depth analysis.

Integration:
Collaborate with IT and other teams to integrate data from various sources (ERP, CRM, databases, etc.) into the Celonis platform, ensuring seamless and efficient data flow.

Performance Optimization:
Monitor and optimize the performance of Celonis data models and pipelines, identify bottlenecks, and implement solutions to improve efficiency and scalability.

Data Quality Assurance:
Implement data validation and cleansing processes to ensure the accuracy and integrity of the data used for process mining and analysis.

Collaboration & Support:
Work closely with data analysts and stakeholders to understand their requirements, providing technical support and training on the use of Celonis for data-driven decision‑making.

Documentation:
Maintain comprehensive documentation of data models, ETL processes, and data pipelines, ensuring transparency and ease of maintenance.

Continuous Improvement:
Stay up‑to‑date with the latest developments in process intelligence, data engineering, and Celonis technologies, proposing and implementing best practices to improve the overall data architecture.

• Data Pipeline Development:
  Design, develop, and maintain robust data pipelines for extracting, transforming, and loading (ETL) data into the Celonis platform from various source systems.
• Data Modeling:
  Create and optimize data models within Celonis to support process intelligence activities, ensuring accurate representation of business processes and enabling in-depth analysis.
• Integration:
  Collaborate with IT and other teams to integrate data from various sources (ERP, CRM, databases, etc.) into the Celonis platform, ensuring seamless and efficient data flow.
• Performance Optimization:
  Monitor and optimize the performance of Celonis data models and pipelines, identify bottlenecks, and implement solutions to improve efficiency and scalability.
• Data Quality Assurance:
  Implement data validation and cleansing processes to ensure the accuracy and integrity of the data used for process mining and analysis.
• Collaboration & Support:
  Work closely with data analysts and stakeholders to understand their requirements, providing technical support and training on the use of Celonis for data-driven decision-making.
• Documentation:
  Maintain comprehensive documentation of data models, ETL processes, and data pipelines, ensuring transparency and ease of maintenance.
• Continuous Improvement:
  Stay up‑to‑date with the latest developments in process intelligence, data engineering, and Celonis technologies, proposing and implementing best practices to improve the overall data architecture.

• Education:
  
  Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
• Experience:
  
  Minimum 4+ years of proven experience as a Data Engineer, with a focus on ETL processes, data modeling, and pipeline optimization.
• 2+ years of hands‑on experience with Celonis, including data integration, model building, building views & action flows with a strong portfolio.
• Familiarity with ERP systems (e.g., SAP, Oracle) and other enterprise software platforms.
• Technical
  
  Skills:
  
  Proficiency in SQL and experience with database management systems.
• Strong knowledge of ETL tools and data warehousing concepts.
• Strong domain knowledge of at least one module in SAP according to requirements.
• Soft Skills:
  
  Strong analytical and problem‑solving skills with attention to detail.
• Excellent communication and collaboration abilities, with the ability to understand and interpret business processes.
• Ability to manage multiple tasks and projects, prioritizing effectively in a fast‑paced environment.