Working Student - Operational Efficiency & Global Key Account Management (f/m/d) - #2776206

Your area of work

Within Global Key Account Management (GKAM), the Operational Efficiency (O.E.) function is responsible for the governance, maintenance and continuous improvement of manual and digital customer onboarding and change management processes across Deutsche Börse Group markets and CCPs.

We are looking for a motivated and digitally minded working student to support our team in driving process optimisation, automation and data-driven transparency.

The role offers hands-on exposure to end-to-end operational processes, close collaboration with key stakeholders and the opportunity to turn ideas into practical solutions using modern digital tools such as Microsoft Power Automate, Power BI and AI-supported solutions.

Your Responsibilities

• You will actively contribute to the analysis, documentation and optimisation of end-to-end GKAM and Operational Efficiency processes, with a particular focus on customer onboarding and change management
• You will identify automation and digitalisation opportunities within manual and semi-manual processes and help translate them into practical solutions, while supporting AI-enabled use cases, for example in data structuring, classification, process analysis and efficiency improvements
• You will support the design, implementation and maintenance of low-code automations using Microsoft Power Automate
• You will contribute to the development and enhancement of Power BI dashboards and reports to improve transparency on process performance, KPIs and operational volumes
• You will prepare, structure, validate and analyse operational data and help translate it into meaningful insights for reporting and decision-making
• Moreover, you will prepare process documentation, presentations and management summaries and help ensure that operational information is clear and structured, while working closely with GKAM, Operational Efficiency, IT and other internal stakeholders and contributing to cross-functional digitalisation and process-improvement initiatives
  
  

Your Profile

• You will be enrolled during the entire period of activity at a state-recognized university as a regular Bachelor or Master student in Business Administration, Economics, Industrial Engineering, Business Informatics, Data Science or a comparable field
• You will have a strong interest in process optimisation, automation and digitalisation and enjoy working with data, processes and digital solutions and be curious about how technology can improve operational efficiency
• You will ideally have first hands-on experience with Microsoft Power Automate, Power BI, AI tools or comparable digital technologies and you have very good Microsoft Excel and PowerPoint skills
• You will have an analytical, structured and solution-oriented mindset and enjoy understanding complex processes and finding practical ways to improve them
• You will be proactive, reliable and comfortable taking ownership of tasks and working independently, and be keen to learn and enjoy collaborating with different stakeholders in an international and operational environment
• Furthermore, you are fluent in English; German is an advantage
  
  

Start date: 01/01/2027