Diákmunka - Stock Analytics Intern – Inventory & Discrepancy Analysis állás - Budapest

Diákmunka - Stock Analytics Intern – Inventory & Discrepancy Analysis

Munka típusaDiákmunka
BérezésMegállapodás szerint
HelyszínBudapest

Áttekintés

What awaits you? As a Stock Analytics Intern , you will support the Stock Analytics team in the analytical evaluation of inventory data and stock d

Részletes leírás

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.


Your responsibilities include:
-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.

What you should bring along?

-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.

What do we offer?

-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.

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