Intern - Data Analyst (f/m/d)

Frankfurt am Main

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 (eg 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 (eg 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

Why Deutsche Börse Group?

We are committed to providing a work environment where everyone feels welcome and can reach their full potential. Our standards go far beyond simply matching candidates with the right position.

Mobility

We enable you to move with our job tickets, job (e-)bikes and free parking opportunities.

Work environment

Collaboration, communication, or deep focus – in our modern office buildings you will find the perfect work environment. Free drinks and food and meal allowances included.

Health and wellbeing

We care for your health and wellbeing and besides various health promotion measures we offer you a group accident insurance and additional insurance offers at discounted rates.

Financial stability

We provide financial stability by offering attractive salaries, company pension schemes, participation in our Group Share Plan, as well as bonuses, subsidies and discounts.

Hybrid work

Collaborate and exchange on-site or work remotely several days a week in line with business needs and local regulations. Our hybrid working model combines the best of both worlds.

Flexible working hours

We want your job to fit your life situation and offer flexible working time models, childcare allowance, or the possibility to study alongside your job.

Internationality

Our market infrastructures are globally connected. Working with us means collaborating with like-minded colleagues across over 60 locations from more than 100 nations.

Development

We promote individual development by offering internal development programs, mentoring, further education and training budgets.

Contact

Nine Gourie – Campus Recruiting

Are you interested in an internship, an apprenticeship or a working student job?

+496921111810

Our Campus Recruiting Team is looking forward to your call or e-mail.

Ready to start your career with us?

Apply now!