Working Student in Quality Management – Operations (m/f/d)

bonial helps you save time, money and paper!

We are a digital advertising partner for offline businesses - we support retailers in their marketing activities and help them find a new audience. Would you like to join and be a part of digitalisation of retail?

Bonial is part of Axel Springer SE and is disrupting the retail landscape as the leading "Drive to Store" partner in Germany and France. Through our platforms "kaufDA" and "MeinProspekt" in Germany, and “Bonial” in France, we connect millions of users with their favorite shops and brands—driving real impact every single day.
We are in the midst of an exciting growth phase, scaling fast and transforming the way people discover retail. At Bonial, we thrive in a high-performance, fast-paced environment fueled by motivated, results-driven individuals who are passionate about making a difference. If you’re looking to be part of a dynamic team that’s shaping the future of retail, we’d love to meet you.

As a Working Student in Quality Management – Operations (m/f/d) at bonial, you will have the opportunity to dive deep into the digital world and our technical processes while still studying. In this student position, you will take on real responsibility: you will ensure the quality of our publications, analyze data, identify irregularities, and work closely with our IT teams. At the same time, you will support the continuous development of our systems and processes. If you would like to gain practical experience alongside your studies, have a solid technical understanding, and are eager to contribute to an international team, you’ve come to the right place.

Note: The employment contract is limited to 1 year.

Your Responsibilities:

• You will support the publication of brochures and products and ensure their quality.

• You will handle technical issues, forward them to the responsible IT teams, and manage communication with them.

• You will actively collaborate with the team to continuously improve our existing internal processes.

• You will analyze data, identify irregularities, and help improve KPIs and quality metrics.