Smart Start Data Analytics & Digitalization Engineer
About the Role
Your Contribution to Something BigSupport data analysis and reporting across material management, planning, logistics, and repair processesCollect, process, and analyze data to support data-driven decisions and process improvementsCreate reports and interactive dashboards using Power BI or Tableau to monitor KPIs and operational performanceContribute to process digitalization, data modeling, and workflow automation using Python and other digital toolsTake part in AI and machine learning projects, including predictive analytics and anomaly detectionCollaborate with cross-functional teams to identify improvement opportunities and implement data-driven solutionsWhat Distinguishes You3rd or 4th-year undergraduate or postgraduate student in Industrial Engineering, Information Systems Engineering, Computer Engineering, Software Engineering, or related fieldsStrong interest in data analytics, AI, machine learning, and digitalizationFamiliarity with Power BI or Tableau for data visualization and reportingBasic knowledge of Python, SQL, and data modelingFamiliarity with Agentic AI concepts or applications is an assetGood communication and teamwork skillsVery good command of English