Working Student - Data Analyst (f/m/d)

adjoe is a leading mobile ad platform developing cutting-edge advertising and monetization solutions that take its app partners’ business to the next level. Our unique ad unit Playtime has made us one of the fastest-growing ad platforms and top-ranking user acquisition sources for app publishers worldwide (ranked #1 for growth in the AppsFlyer Index). And that’s just the start: We’ve just launched our programmatic in-app platform in order to disrupt the status quo of mobile ad monetization. Again.

Home to an advanced tech stack , powerful financial backing from Bertelsmann, and a long-term growth mindset, adjoe is part of the AppLike Group ecosystem. A hub of disruption and thought leadership in the app economy, with a driven and dynamic workforce to be reckoned with. Be the next tech-driven, ambitious talent to join our growing teams!

Meet your Team: Rewarded Solutions

Our Rewarded Solutions team develops the technology behind adjoe's innovative rewarded engagement products that serve over 57 million daily mobile users.

The team’s tech stack consists of three major components: native Android and iOS SDKs written in Java/Kotlin and Swift handling complex engagement flows; widely customizable offerwall applications built with React TypeScript; and a highly performant Golang backend hosted on AWS that processes millions of events hourly. Our system matches each game with its ideal users, delivering rewards optimized for satisfaction through data processed via AWS Athena, Kafka, Spark, S3, and MySQL.

For team members, this means having state-of-the-art resources to build engaging rewarded ad experiences that seamlessly integrate into the world’s top apps while delivering exceptional results for advertisers and monetizers in this industry-leading technology.

What You Will Do:

• Collaborate with Growth Managers and the Business Operations team to fulfill ad-hoc data requests and conduct in-depth investigations.
• Assist in the design and rigorous evaluation of A/B tests and experiments, translating statistical results into clear, actionable insights for stakeholders.
• Actively participate in the migration of our reporting suite from Amazon QuickSight to Tableau, ensuring data integrity and the accurate translation of existing visualizations.
• Improve and maintain documentation for key business metrics, data sources, and analytical processes, ensuring high data literacy and consistency across the company.
• Contribute to the development and standardization of reporting and analysis best practices within the BI team.
• Optimize Data Processing Pipelines by identifying and implementing efficiencies, such as creating intermediate aggregated tables (ETL/ELT), to reduce query latency and streamline reporting workflows for high-volume data.

Who You Are:

• You have a bachelor's degree or are in your last year of it in the fields of computer science or data analytics.
• You have experience with Python and SQL.
• You possess outstanding communication skills (verbal and written English and German)
• You have a decent experience with Google Suite (especially, with Sheets and Slides)
• You like to work in a fast-paced environment
• You enjoy a strong sense of responsibility/ownership
• You are available to work for at least six months
• Nice to have: Any previous internship or working student experience in fast-growing startups, consulting or any IT company is a plus

Fuel for the Journey: Benefits to Support Your Ambitions

• Live Your Best Life, at Work and Beyond: We work in a hybrid setup with 3 core office days, plus flexible working hours. Enjoy a lot of vacation days, hybrid work model, free access to an in-house gym with lots of different fitness classes and mental health support through our Employee Assistance Program (EAP), and many other benefits!
• Thrive Where You Work: Enjoy the Alster Lake view from our central office with top-notch equipment, fun open spaces, and a large variety of snacks and drinks.
• Join the Community! Participate in regular team and company events, including hackathons and social gatherings. We work together, and we celebrate together, too.

Skip writing cover letters. Tell us about your most passionate personal project, your desired salary and your earliest possible start date. We are looking forward to your application!

We welcome applications from people who will contribute to the diversity of our company.