At Deutsche Telekom, we believe that investing in our employees' development is the key to unlocking the full potential of our organization. As part of the HR Headquarter, our team is responsible for global products concerning People Development within Deutsche Telekom AG. 

By developing a variety of internal HR products and offers like learning & development, skills intelligence and performance or engagement surveys, we make Deutsche Telekom the best place to develop, grow and raise the voice. 

Are you passionate about employee engagement and to capture the sentiments of Employees? Do you see your strengths in analyzing data and storytelling with data? Do you want to work in an international team and shape the future of our products in a dynamic environment? Then this is the right role for you.

• Developing general strategic specifications for the provision and identification of data for logical data models and structures.
• Developing assessment and steering tools for various data sources to provide the required data records.
• Developing data models and steering the implementation of the models in collaboration with the business and the data teams.
• Carrying out complex analyses of data from various sources to integrate analysis results into existing solutions and business processes (identifying trends, patterns, predictive models).
• Devising decision-making proposals and recommended courses of actions; presenting and discussing the results at management level.
• Assuming E2E responsibility for strategic data science projects, from taking stock of requirements and advising through to go-live.

Bachelor’s or Master’s degree in computer science, Information Technology, Engineering, or a comparable qualification and already have minimum 4 years of professional experience as data analyst / scientist.

Furthermore, you distinguish yourself through the following knowledge and skills:

• Excellent programming skills in Python paired with strong hands-on experience with Python libraries for data manipulation, esp. Pandas, NumPy.
• Outstanding analytical, mathematical and problem-solving skills, solid knowledge in descriptive and inferential statistics.
• Expert knowledge in Data Visualization with libraries like Seaborn, Matplotlib, Plotly, graphviz etc. and tools like Tableau, PowerBI.
• Advanced knowledge in classical Machine Learning approaches and models (Random Forest, Gradient Boost, …).
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Strong knowledge in UML and data modeling.
• Strong customer-oriented working mode, ideally experience in HR / employee survey domain.
• Self-responsibility and independent working principle, experience in international Scrum teams.
• Excellent writing and communication skills in English. 
• You are flexible for business travels.

Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.

* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.