Smart Start Data Analytics & Digitalization Engineer

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

Qualifications :

What Distinguishes You

• 3rd or 4th-year undergraduate or postgraduate student in Industrial Engineering Information Systems Engineering Computer Engineering Software Engineering or related fields
• Strong interest in data analytics AI machine learning and digitalization
• Familiarity with Power BI or Tableau for data visualization and reporting
• Basic knowledge of Python SQL and data modeling
• Familiarity with Agentic AI concepts or applications is an asset
• Good communication and teamwork skills
• Very good command of English

Remote Work :

No

Employment Type :

Intern