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Working Student Digitalization Projects - Focus on Power BI(m/w/x)
Building automated dashboards for production order monitoring in banknote manufacturing. Enrolled student status in a relevant field or strong data analysis interest required. Flex-office concept, flexible working hours.
Requirements
- Enrolled student in Data Science, Business Informatics, Industrial Engineering, Business Administration, or Economics
- Alternatively, enrolled in another degree program with strong interest in digitalization, data analysis, and BI tools
- Ideal interest in operations management
- Independent, structured working style, high motivation to learn new tools and methods
- Enjoyment of understanding, preparing, and visualizing complex relationships clearly and structured
- Ideally, first practical experience in data modeling, process analysis, or digital end-to-end processes
- Enrolled for at least 18 months, available for ideally at least 12 months
- Confident use of MS Office applications, interest in Power BI and AI-based solutions
Tasks
- Develop and enhance Power BI dashboards for production orders
- Develop data models with DAX measures and KPIs
- Model production, process, and cost data
- Design intuitive visualizations for operational and strategic use
- Identify, prepare, and visualize deviations, patterns, and trends
- Document data models, dashboards, and workflows
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Power BI
- MS Office
- AI
Benefits
Flexible Working
- Flex-office concept
- Flexible working hours
Diverse Work
- Hands-on digitalization projects
Mentorship & Coaching
- Professional guidance
Learning & Development
- Individual development support
Other Benefits
- Valuable insights into banknote manufacturing processes
Purpose-Driven Work
- Opportunity to take on responsibility
- Opportunity to contribute ideas and solutions
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Working Student Digitalization Projects - Focus on Power BI(m/w/x)
Building automated dashboards for production order monitoring in banknote manufacturing. Enrolled student status in a relevant field or strong data analysis interest required. Flex-office concept, flexible working hours.
Requirements
- Enrolled student in Data Science, Business Informatics, Industrial Engineering, Business Administration, or Economics
- Alternatively, enrolled in another degree program with strong interest in digitalization, data analysis, and BI tools
- Ideal interest in operations management
- Independent, structured working style, high motivation to learn new tools and methods
- Enjoyment of understanding, preparing, and visualizing complex relationships clearly and structured
- Ideally, first practical experience in data modeling, process analysis, or digital end-to-end processes
- Enrolled for at least 18 months, available for ideally at least 12 months
- Confident use of MS Office applications, interest in Power BI and AI-based solutions
Tasks
- Develop and enhance Power BI dashboards for production orders
- Develop data models with DAX measures and KPIs
- Model production, process, and cost data
- Design intuitive visualizations for operational and strategic use
- Identify, prepare, and visualize deviations, patterns, and trends
- Document data models, dashboards, and workflows
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Power BI
- MS Office
- AI
Benefits
Flexible Working
- Flex-office concept
- Flexible working hours
Diverse Work
- Hands-on digitalization projects
Mentorship & Coaching
- Professional guidance
Learning & Development
- Individual development support
Other Benefits
- Valuable insights into banknote manufacturing processes
Purpose-Driven Work
- Opportunity to take on responsibility
- Opportunity to contribute ideas and solutions
About the Company
Giesecke + Devrient GmbH
Industry
Manufacturing
Description
Das Unternehmen ist ein internationaler Technologiekonzern, der integrierte Sicherheitstechnologien in den Bereichen Digital Security, Financial Platforms und Currency Technology anbietet.
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