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Data Analyst (f/m/d)

  • adjoe
  • Programmatic Supply
  • Full-time
adjoe is a leading mobile ad platform developing cutting-edge advertising and monetization solutions that take its app partners’ business to the next level. Part of the applike group ecosystem, adjoe is home to an advanced tech stack, powerful financial backing from Bertelsmann, and a highly motivated workforce to be reckoned with.

 Meet Your Team: Programmatic Supply

Did you know that in-app ads are sold in a real-time auction before they get rendered in thousands of mobile apps? Dozens of ad networks compete for every single view, choosing their best ad and deciding what price to bid in just a couple hundred milliseconds. We at adjoe have developed our own ad platform WAVE, that connects ad networks and takes part in this competition itself. Our backend system can simultaneously handle a few billion auctions in real-time every day. Behind the auction scenes, we have an impressive prediction model working to figure out if an ad will lead to installing an app or not.

Want to be a part of this industry-first adtech solution? Join our discussions, explore implementation, and put your problem-solving skills to the test in our cross-functional Programmatic team!
What You Will Do
  • Analyze data from multiple sources (AWS Athena, AWS QuickSight, Kibana,  internal dashboards, spreadsheets and more) on a regular basis and extract insights from it.
  • Investigate user behavior and product performance by analyzing data, reading logs and talking to engineers.
  • Document your findings and communicate them to the team.
  • Prepare calculations for A/B tests launches and analyze experiments results.
  • Challenge and contribute to product-related decisions based on your insights.
  • Who You Are
  • You have a degree in information technology, economics, analytics, or a similar field.
  • You have 2+ years’ of relevant experience, preferably in product companies.
  • You’re proficient in SQL.
  • You have a strong knowledge of Python or R.
  • You have an excellent understanding of data visualization and have experience building dashboards (e.g. QuickSight, MS PowerBI, Tableau, R Shiny, Streamlit) to showcase analysis results.
  • You know how to perform statistical analyses (e.g. use hypothesis tests to evaluate A/B tests).
  • You’re excited to work with data and have experience in extracting business insights from it.
  • You worked closely with engineers (e.g. investigating how the system works) and are comfortable reading tech documentation.
  • You have experience in working with task-tracking tools (Jira, GitLab, etc).
  • Plus: Experience in AdTech or Mobile App analytics
  • Heard of Our Perks?
  • Work-Life Package: 2 remote days per week, 30 vacation days, 3 weeks per year of remote work, flexible working hours, dog-friendly kick-ass office in the center of the city.
  • Relocation Package: Visa & legal support, relocation bonus, reimbursement of German Classes costs and more.
  • Happy Belly Package: Monthly company lunch, tons of free snacks and drinks, free breakfast & fresh delicious pastries every Monday
  • Physical & Mental Health Package: In-house gym with personal trainer, various classes like Yoga with expert teachers.
  • Activity Package: Regular team and company events, hackathons.
  • Education Package: Opportunities to boost your professional development with courses and trainings directly connected to your career goals 
  • Wealth building: virtual stock options for all our regular employees.
  • Free of charge access to our EAP (Employee Assistance Program) which is a counseling service designed to support your mental health and well-being.
  • 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.

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    ケーススタディを持ち帰っていただき、自分の技術力を実証してください。
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    私たちは、あなたのケーススタディについてフィードバックし、技術的な専門知識をお伺いいたします。
    最終面談です
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    決断の時
    あなたの結果をお知らせします!

    ビジネスチーム

    自己紹介
    あなたの経験や経歴を教えてください。 お互いを知りましょう!
    スキルをアピールする
    ケーススタディを持ち帰っていただき、専門スキルを実証してください。
    チームと話す
    私たちは、あなたのケーススタディについてフィードバックし、当社の担当者にあなたの専門性をアピールしていただきます。
    最終面談です
    ここまで来ました! この最後のステップでは、Managing Director / VPとご面談いただきます。
    決断の時
    あなたの結果をお知らせします!

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