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Working Student for Data Intelligence (m/f/d) in Group Data Analytics #StandwithUkraine

Job Level:  Student

München, DE, 80802

Due Date:  As soon as possible
Area of Expertise:  IT & Tech Engineering
Unit:  Allianz SE
Job Type:  Part-Time
Remote Job:  Not applicable
Employment Type:  Temporary
ID:  9098




Group Data Analytics (GDA) is a department in Allianz’s global headquarters. We are responsible for shaping Allianz’s strategic agenda for Data Analytics and Artificial Intelligence (AI), and executing Data Analytics and AI solutions at scale, across the entire Allianz Group. Our mission is to add tangible value to our business by driving future business growth and productivity, and enable data-driven transformation and decision-making.

We do this by developing and deploying globally scalable Data Analytics and AI solutions. We work closely with our colleagues driving the new global business model (Allianz Customer Model), to scale the impact of analytics and AI in Claims, Sales, and Operations. We co-develop reusable assets with OEs across the world and work on strategic business intelligence projects to improve data-driven decision-making.

We believe that our long-term success also rests on enabling the business and empowering employees to adopt Data Analytics and AI. We do this by creating transparency on AI capabilities and assets, providing expert knowledge to local data science teams, working towards common architecture and coding principles, and running communities of practice.

We are looking for candidates to join us as working students in the Data Intelligence (DI) team of Group Data Analytics. The Data Intelligence team drives data availability and optimizes data usage in Allianz to leverage its full potential. You will be working in an interdisciplinary team together with our Data Hunters, BI Experts, Business Analysts and Insurance Experts. It is an opportunity to apply your formerly acquired skills, while broadening horizons in the world of data and analytics and to learn first-hand how data is crucial to improve and transform insurance.



  • Assist in various project management tasks, e.g. stakeholder management, preparation of meetings and follow-up documentation, keeping track of to-dos etc.

  • Support team members in their content-related tasks

  • Assist in developing and maintaining material and communication about DI activities and projects (slides, guides), as well as intranet presence

  • Support the management with preparation of presentations and media briefings

  • Create and coordinate multi-media content (blog posts, videos, interview, infographics) for internal communication

  • Research content inside and outside of Allianz on challenging data topics (thought leadership)

  • Run team management related tasks, e.g. organizational set-up of the team, administrative tasks, team events, etc.



Qualification & Experience:

  • University Student in Business Administration, Economics, Social Sciences or other relevant fields

  • Basic understanding and/or strong interest in data and advanced analytics (machine learning, data science, AI)

  • Experience in project management / consulting / insurance are a strong plus

  • Experience with project management methods (e.g. Scrum, Kanban, Waterfall etc.) is a strong plus


Key Skills:

  • Fluency in English is required, additional languages are a plus

  • Proficiency in MS Office and Office365

  • Good organization and communication skills

  • Quick on your feet

  • Attention to detail

  • Collaborative attitude


Your application

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.