COMPANY
Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.
We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in.
We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.
Join us. Let's care for tomorrow.
BENEFITS
1. Additional MBA option
2. International focus
3. Attractive study conditions
4. Implementation of a real study project in theory and in practice
5. Mentoring for the time being in your company and in your graduate program
6. Professional training to become a junior manager
7. Flexible work arrangements (ability to work from home a few days per week)
8. Individual and excellent professional development opportunities/plans
9. Family-friendly work environment
10. Offers for health and well-being
11. Multinational, diverse and inclusive community
12. Opportunity to make an impact on our sustainability initiatives
Further information and experience reports on studying at Allianz can be found here:.
TASKS
13. Assist in the analysis and visualization of numerical results from employee surveys using tools such as Excel and programming languages like R or Python
14. Work on open comment analyses to derive insights and trends from qualitative data
15. Support the storage and archiving of survey data in our internal Azure database, ensuring data integrity, quality, and accessibility
16. Collaborate with team members to generate and distribute reports on survey results and key metrics
17. Participate in the development and implementation of data analysis processes and best practices
18. Contribute to workshops and meetings, sharing insights and promoting collaboration within the team
19. Respond to inquiries related to data analytics and reporting, facilitating information exchange and supporting team members
PROFILE
20. (Completed) bachelor's degree program related to data science, or a related field
21. Proficiency in Excel, including advanced functions and ideally macros
22. Knowledge of a programming language such as R or Python for data analysis and visualization
23. Strong analytical skills and attention to detail
24. Ability to communicate insights effectively to both technical and non-technical audiences
25. Ability to work independently and collaboratively within a team
26. Strong organizational skills and the ability to manage multiple tasks and priorities
27. Good communication skills, capable of simplifying complex data topics for diverse audiences
28. Analytical and problem-solving skills with a hands-on mentality to deliver results
29. Proactive approach to learning and adapting new tools and techniques in data science
30. Very good English skills (at least C1), German is a plus