Working Student in Business Process Management (d/f/m) (m/w/d)

Job Description:
In order to support the Business Management System team, Airbus Defence and Space is looking for a
Working Student in Business Process Management (d/f/m)
You are a full-time student, looking for a working student position and want to be part of a company transformation? Then apply now! We look forward to you supporting us in our Business Management System Team as a working student (d/f/m) with approx. 18 hours a week!
Location: Ottobrunn
Start: as soon as possible
Duration: 12 months
Your location
Our site is just a stone's throw away from Munich, the beautiful capital of Bavaria. Are you into sports and other outdoor activities? The Alps and Lake Starnberg are within an hour’s reach, offering a multitude of recreational options.
Your benefits

• Attractive salary and work-life balance with an 18-hour week (flexitime).
  
• Mobile working after agreement with the department.
  
• International environment with the opportunity to network globally.
  
• Work with modern/diversified technologies.
  
• At Airbus, we see you as a valuable team member and you are not hired to brew coffee, instead you are in close contact with the interfaces and are part of our weekly team meetings.
  
• Opportunity to participate in the Generation Airbus Community to expand your own network.
  

Your tasks and responsibilities

• Support the company's transformation through the Business Management System (BMS) transformation
  
• Support the Business Management System team and learn hands on to use one of the best in class platforms for business process management (ARIS)
  
• Support in data integration and analytics to enhance decision making and provide business insights
  
• Development of requirements management in the Business Management System , based on Quality Standards like ISO9001/EN9100
  
• Support business users from the different areas on BMS matters
  
• Publication of BMS content
  
• Creation of documentation
  
• Usage of state of the art Artificial Intelligence tools (LLM, Process Mining application to real use cases)
  

Desired skills and qualifications

• You are enrolled full-time student in the area of Computer Science, Data analytics, Aerospace or an equivalent field of study.
  
• You see value in data and are passionate about uncovering insights that drive business decisions
  
• You have experience with Google Workspace/ Data visualization tools (Qlik Sense)
  
• You have experience using Large Language Models (LLMs), such as ChatGPT and Gemini
  
• You are fluent in English - any other additional language (German, French, Spanish) considered a plus
  
• You have strong analytical thinking skills, are capable of interpreting complex data sets, identify patterns and provide actionable insights
  
• You are a very good team player, have excellent communication skills and are able to work autonomously
  

Please upload the following documents: cover letter, CV, relevant transcripts, enrollment certificate.
Not a 100% match? No worries! Airbus supports your personal growth.
Take your career to a new level and apply online now!
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.
Company:
Airbus Defence and Space GmbH
Employment Type:
GE - Werkstudent
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Experience Level:
Student
Job Family:
Quality Management System
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Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com .
At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.