The Opportunity
This position works out of our Wiesbaden-Delkenheim Abbott GmbH location.
Primary objective of position
1. Subject matter expert for Remote diagnostic data collection and log analysis tools for all Instruments types in ADD Corelab
2. Collecting, processing, and analyzing EMEA service-related data to generate actionable insights that support decision-making and improve operational efficiency.
3. Implementation and maintenance of EMEA Service Operation Excellence (SVC OP EX) dashboards (Power Bi, Smartsheet, etc.)
4. Training of Technical support team on Log analysis and troubleshooting
Major accountabilities
5. Responsible for second level support on Instruments remote connectivity and data analytics
6. Collect, clean, and manipulate large datasets from various sources (reliability database, CMSNext, GSR, internal reports, etc.).
7. Develop dashboards and reports to monitor key performance indicators (KPIs) related to EMEA service operations.
8. Identify trends, patterns, and anomalies in service data to support continuous improvement initiatives.
9. Collaborate with cross-functional teams (Service, Quality and Supply Chain) to collect data and deliver insights.
10. Ensure data accuracy, consistency, and integrity across systems and reports.
11. Present findings and recommendations to EMEA SVC OP team in a clear and actionable manner.
12. Ensure all activities are performed in compliance with quality system requirements
Education
13. Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field or equivalent knowledge acquired through relevant professional experience
Background
14. Knowledge of field service operations and customer support processes
15. Ability to communicate complex data insights in a streamlined and simple way.
16. Knowledge of machine learning, predictive analytics techniques and AI Based analytics.
17. Strong analytical and problem-solving skills with attention to detail
18. Capability to visualize data results against real field cases and actions.
19. Proficiency in data analysis tools (e.g. Excel, SQL, Python, etc.)
20. Experience with data visualization platforms (e.g., Power BI, Tableau, Smartsheet).
21. Speaks and write good English
22. 2–4 years of experience in a data analysis role.