Bachelor thesis in the field of SAP ERP & Data Analytics (d/f/m)

Job Description:

In order to support our team, Airbus Operations is looking for

Bachelor thesis in the field of SAP ERP & Data Analytics (d/f/m)

You are looking for a bachelor thesis and want to get to know the work of a Data Analyst / Business IT Specialist? Then apply now! We look forward to you supporting us in our SAP ERP & Data Analytic functions at the customer line department as a Bachelor student. (d/f/m)!

• Location: Hamburg
  
• Start: 01. 11.2026
  
• Duration: According to study regulations (3-6 months)
  

Your location

You will be working at the largest production site for civil aircraft situated in Hamburg. Its location on the southern banks of the river Elbe includes the option to commute by ferry. Experience the special flair of Hamburg in your spare time where vibrant cosmopolitan culture meets nautic legacy.

Your benefits

• Work-life balance with a 35-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

• Familiarization with the department's existing SAP-based ERP and business processes.
  
• Analysis and structured evaluation of operational process data to identify bottlenecks, anomalies, or optimization potentials.
  
• Exploration and application of suitable data analytics or basic process mining methodologies tailored to a realistic bachelor-level scope.
  
• Derivation of practical, data-backed recommendations to improve efficiency and workflow predictability within the department.
  

Desired skills and qualifications

• Enrolled full-time student (d/f/m) in the area of Computer Science, Business Informatics, Data Science, Statistics, Business Administration (with an IT focus) or an equivalent field of study.
  
• First practical experience or a strong academic interest in the field of ERP systems (specifically SAP data structures) and data analytics is desirable.
  
• Basic programming skills in data-relevant languages (e.g., Python, R, or SQL) or experience with analytics tools.
  Strong analytical mindset with the ability to break down complex data workflows into feasible, well-defined research questions.
  
• Fluent in German and English.
  
• Ability to work independently, combined with good communication skills to interface with team members.
  

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 Operations GmbH

Employment Type:
Final-year Thesis
-------

Experience Level:
Student

Job Family:
Support to Management

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
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.