Working Student (m/f/x) - Digitalization
Working Student (m/f/x) - Digitalization
Working Student (m/f/x) - Digitalization
Working Student (m/f/x) - Digitalization
Magna
Automobil- und Fahrzeugbau
München
- Art der Beschäftigung: Studierende
- Vor Ort
- Zu den Ersten gehören
Working Student (m/f/x) - Digitalization
Über diesen Job
Working Student (m/f/x) - Digitalization
- locations
- Muenchen, DE
- time type
- Full time
- posted on
- Posted Today
- job requisition id
- R00240339
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What we offer:
Group Summary:
Job Responsibilities:
About the Role:
As a Working Student – Digitalization, you will support the Digitalization team at Magna Electronics in shaping, implementing, and operating scalable digital initiatives across Engineering, Operations, and SG&A. The role offers hands-on exposure to AI, data, and digital platforms while contributing to real business value in a global automotive environment. You will work closely with business and technology stakeholders and actively support our new Digitalization organization.
Your Responsibilities:
Support the identification, documentation, and structuring of digital and AI use cases
Prepare analyses, presentations, and reports to support digital initiatives
Contribute to data governance, data quality, and documentation of data models and data flows
Support AI governance activities, including use case intake and value assessment
Coordinate and collaborate with multiple internal stakeholders
Assist in organizing workshops, meetings, and internal communications
Contribute to knowledge sharing, best practices, and initiatives to promote digital literacy
Who we are looking for:
Currently enrolled Bachelor’s or Master’s student in Business Engineering, Business Informatics, or a related field
Strong interest in digital transformation, data, and AI
Analytical mindset with a structured and reliable working style
Proficient in MS Office, especially PowerPoint and Excel
Very good command of English; German skills are an advantage
Your preferred qualifications:
Basic understanding of data, analytics, AI, or software development
Initial exposure to AI or other modern digitalization tools
High motivation to work in a matrix-driven, international environment
Site Benefits:
Collegial, supportive, and friendly working atmosphere with a "Duz" culture
Attractive and performance-oriented compensation package
Prospects and opportunities for personal and professional development through various training offers.
Individual work arrangements through flexible working hours and opportunities to use "Office Work" and "Mobile Work" personally.
Corporate benefits program
International and diverse environment and open-door culture
Awareness, Unity, Empowerment:
At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.
AI-Assisted Screening Disclosure
As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.
Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.
If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.