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.
