Intern - Business Analyst (f/m/d)

at  Deutsche Brse

LEARN. DEVELOP. GROW. BUT ALWAYS: SHARE VALUE

Join our international team that drives positive change, united by a spirit of openness and curiosity. We empower you to have an impact and to grow – personally and professionally. With us, you work at the heart of financial systems and evolve the way markets operate. We’re excited about the future because we are the ones shaping it. Let´s do this together by sharing value!

WHO WE ARE

Tracing its origins to 1585, Deutsche Börse Group has become one of the world’s leading exchange organisations and an innovative market infrastructure provider. In this role, we provide investors, financial institutions and companies access to global capital markets. What’s your part in all this? With your commitment you contribute to the success of our unique business model: offering a wide range of products, services and technologies for security, transparency and integrity on the markets. By creating trust in the markets of today and tomorrow we foster growth and contribute to the prosperity of future generations.
Luxembourg

NINWE 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.

• You will work with business owners and perform business analysis of potential commercial opportunities for creating new data and connectivity products through understanding client needs and requirements and identifying product gaps.
• You will create and maintain comprehensive documentation for projects and initiatives including project plans, delivery timelines, service level agreements, change requests and other relevant administrative work.
• You will ensure completion of business requirements for potential data products. Requirements includes but not limited to, project description, benefits, target clients, benefits to clients, key KPIs, etc.
• You will work with teams across Clearstream in collecting ideas and/or requirements for projects & products and need to be comfortable working with agile project management methodologies. You will support data scientists with project documentation and creating user stories, helping in converting ideas into useful working product.