• Execute the Extract, Transform, Load (ETL) steps, including assessing client's datasets, identifying missing data, correcting errors, and loading into the appropriate platforms
• Develop data architecture, data modeling, and ETL mapping solutions within structured data warehouse environment
• Help to design, develop, and support new and current ETL processes employing industry standards and best practices to enhance loading of data from and into different source / target systems
• Integrate, validate and manipulate data using SQL, R and Python
• Deliver projects by utilizing Alteryx, R, Python or SQL and visualize results in Tableau / PowerBI
• Build mathematical models to support the deal and strategy teams
• Contribute to the design and operation of solutions on modern cloud platforms
• Integrate the use of LLMs in internal as well as external processes

• Bachelor's or Master's degree in Finance and/or Data Science background preferred
• Preferably 1-3 years of related work experience in a data-driven role
• Advanced knowledge in SQL / R / Python, Alteryx and Tableau / PowerBI
• Azure Cloud or comparable solutions is a plus
• Able to develop and implement ETL routines according to best practice DWH design and architecture
• Written and oral proficiency in English is required, German is a plus
• Highly motivated team player, curious, with a positive attitude

Do you have any questions?

Angelina Kothe

Campus Recruiting Specialist