Job description
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
Job Overview
IT Data Analyst is a data-oriented role, focused on delivering transparent MI package, process mining solutions, ad-hoc analysis combined with general sense of aesthetics and process optimization. Drive for excellence, ability to move from conclusions to actions to improve processes, combined with good communication skills characterize a perfect candidate for this position.
What your background should look like:
- Building solutions in Celonis EMS (application tools, reports, etc.) that help end to end functions across global FSC in their daily work
• Improving automated data pipeline of extraction, transfer, and load (ETL).
• Maintaining system integrations and creating re-usable collateral, best practices & tools within reporting center
• Designing and developing the technical requirements of Celonis based on the approved Use Cases business process requirements from the FSC operations, aligned with the Celonis project pipeline
• Analyzing data & trends to manage use cases and propose for improving opportunities
• Being the point of contact and subject matter expert for ad hoc data and analytics requests
• Continuously enabling users by providing best practices and tips on tool usage including conducting technical trainings• Exceptional problem-solving, organizational, and research skills with attention to detail
• Passion for identifying and solving issues using quantitative approaches and translating insights into actionable recommendations
• Proactive approach to process mining and other analytical tasks
• Ability to balance a fast-paced working environment with the need for precision, while applying pragmatism to solve data-related issues and achieve fast results if needed
• Very good SQL Knowledge, along with proficiency in SAP, Oracle ERP solutions
• At least 1 year of practical experience in Business Intelligence, Data Analysis, or Data Science
• Excellent communication and presentation skills, including fluent business English
• Additional programming skills (e.g., R, Python) and experience with Google BigQuery are a plus
• Experience in Process Mining, familiarity with Celonis or Signavio is a big plus - Gradution is must