Celonis CoE Analyst
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Celonis COE Analyst – Job DescriptionLocation: Bangalore, Hyderabad, or PuneResponsibilities: 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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