Celonis CoE Analyst

Derisk360; City of Westminster; On-site; GBP 55,000 - 75,000; Full time

Job summary

A technology solutions firm in the UK is seeking a Celonis CoE Analyst with a solid background in data pipeline development and strong expertise in Celonis. The ideal candidate will have over 4 years of experience as a Data Engineer, including extensive work with ETL processes, data modeling, and performance optimization. Responsibilities include collaborating with IT, ensuring data quality, and providing support on Celonis for data-driven decision-making. Excellent communication and analytical skills are essential for success in this role.

Qualifications

• Minimum 4+ years as a Data Engineer focusing on ETL processes and data modeling.
• 2+ years hands-on experience with Celonis, including data integration.
• Proficiency in SQL and experience with database management systems.

Responsibilities

• Design, develop, and maintain robust data pipelines for ETL into the Celonis platform.
• Create and optimize data models within Celonis for business process analysis.
• Collaborate with IT to ensure seamless data integration.

Skills

SQL

ETL processes

Data modeling

Analytical skills

Communication

Problem-solving skills

Education

Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field

Tools

Celonis

ERP systems (e.g., SAP, Oracle)

Job description

Join to apply for the Celonis CoE Analyst role at Derisk360

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.

Celonis COE Analyst – Job Description

Responsibilities:

• 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.

Qualifications:

• 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.