+36 1 412 1406 
diakmunka@muisz.hu 
Stock Analytics Intern – Inventory & Discrepancy Analysis
What awaits you?
As a Stock Analytics Intern , you will support the Stock Analytics team in the analytical evaluation of inventory data and stock discrepancies within the production & logistics environments. Your work will contribute to transparent stock governance and stable production processes.
As a Stock Analytics Intern , you will support the Stock Analytics team in the analytical evaluation of inventory data and stock discrepancies within the production & logistics environments. Your work will contribute to transparent stock governance and stable production processes.
Tasks
- Analysis of inventory counting results and identified stock discrepancies related to goods receipt, production processes, warehouse processes, and empty packaging.
- Preparation of evaluations, reports, and data summaries to support Stock Analytics validation and approval activities.
- Close coordination with logistics, warehousing, and IT-related functions to understand data inputs and process impacts, while remaining in a non operational, analytical role.
- Support of administrative and documentation tasks linked to analytics and governance activities, including reporting, learning management system content maintenance, and preparation of management presentations.
Expectations
- Enrolled student in Industrial Engineering, Logistics, Supply Chain Management, Business Analytics, or a comparable field.
- Strong analytical thinking and confidence in working with data.
- Solid knowledge of Microsoft Office (especially Excel and PowerPoint).
- English at a working / conversational level.
- Affinity for IT, databases & AI tools.
- Structured working style, reliability, and attention to detail.
- Mobility and willingness to work on site.
- Availability of at least 25 hours per week.
Other
- Practical work experience in inventory analytics and stock governance within an innovative automotive production environment.
- On the job learning with exposure to SAP S/4HANA, SAP EWM, and business intelligence tools.
- Flexible working arrangements compatible with your studies.
- Professional development opportunities within the BMW Group.
Duration:
Start of work: