(27/10/2025) Celonis CoE Analyst

3 weeks ago

Bengaluru India Derisk360 Full time

Job Description Celonis COE Analyst Job Description Location: Bangalore, Hyderabad, or Pune 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. - Experience with scripting languages (e.g., Python, JavaScript) for data manipulation and automation. - 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.

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