Smart Start Data Analytics & Digitalization Engineer
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Job Description
Your Contribution to Something Big
• Support data analysis and reporting across material management, planning, logistics, and repair processes
• Collect, process, and analyze data to support data-driven decisions and process improvements
• Create reports and interactive dashboards using Power BI or Tableau to monitor KPIs and operational performance
• Contribute to process digitalization, data modeling, and workflow automation using Python and other digital tools
• Take part in AI and machine learning projects, including predictive analytics and anomaly detection
• Collaborate with cross-functional teams to identify improvement opportunities and implement data-driven solutions
Requirements
Function: Engineering
Experience Level: Internship