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Intern - Digital Transformation, Business Data
il y a 2 semaines
**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
**Your career at Deutsche Börse Group**:
**Your area of work**:
As an intern (f/m/d), you will support the Digital Transformation Team in various tasks that teach you Data Analysis skills and introduce you to specific aspects of the Funds industry.
**Your responsibilities**:
- Help in preparing the organisation for the services offered and assist the Clients Migration.
- Help the Project teams to understand data requirements and develop the Client Profiler use case.
- Assist in the development of data dashboards and reports using tools such as Power BI.
- Aid in Document data-related processes and workflows.
**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 4 semesters
(Study focus on the field of informatics, mathematics, physics, economics, business studies, humanities, or other relevant fields) or you already hold a Bachelor’s/master’s degree that is not older than 6 months.
- Pursuing a Bachelor's or Master's degree in a relevant field such as data science, finance, economics, or mathematics.
- Strong technical skills, including good knowledge of SQL, Python and Power BI. Good knowledge of Azure Databricks, Office (incl. Excel) and SharePoint.
- Strong attention to detail and analytical skills. Ability to think critically and Interest in the investment funds industry and data analysis.
- Ability to work independently and collaboratively as part of a team.
- Fluent in written and spoken English, German and French is an advantage
**Why Deutsche Börse Group?**:
**Mobility**:
We enable you to move freely 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, part-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 programmes, mentoring, further education and training budgets.
