Intern - Data Analyst (f/m/d)

Your career at Deutsche Börse Group

Your area of work

As an Intern – Data Analyst (f/m/d) you will support the Data Product Management team in Clearstream in the development of innovative data products and analytical solutions.

Your responsibilities:

• You will extensively work with SQL scripts and use data analytics and business intelligence (BI) tools to build new data products and analytical solutions according to business requirements
• You will work with various data sources, including big data tools (e. g. Azure Databricks) and cloud technologies, to create datasets from multiple data sources
• You will work with different stakeholders under the guidance of an experienced supervisor
• You will have regular discussions with the team and present your solutions and findings
• You will gain experience in developing a deep understanding of a data product on post-trade settlement and significantly contributing to its development
• You will have an opportunity to be involved in projects on data mining and (possibly) machine learning to identify patterns and create forecasts to predict future behaviors
  
  
  

Your profile:

• You are enrolled during the entire period of activity at a state-recognized university as a regular student and have completed at least 2 semesters. Study focus in the field of Computer Science, Mathematics/Statistics, Physics, Engineering, Business Administration, Information Technology, Management or any other relevant quantitative field
• Ideally, you have already gained practical experience in conducting quantitative analysis (e. g. experience abroad, internships) and are interested in financial data
• You have significant relevant experience with and knowledge of Business Intelligence (BI) tools such as PowerBI
• You can understand technical information quickly, derive insights and devise solutions. You have an independent and responsible way of working with attention to detail and agile communication and possess a passion to learn
• You have significantly good knowledge of SQL and Python (PySpark, pandas, scikit-learn) or other programming languages
• You are proficient in written and spoken English
  
  
  

Start date: 01/06/2026