> Markdown version of [/jobs/ext/1344530-senior-data-analyst](https://www.wearedevelopers.com/jobs/ext/1344530-senior-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Analyst - **Company:** adjoe GmbH - **Location:** Hamburg, Germany - **Experience:** Expert - **Salary:** €64,000.0 - €82,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Application Frameworks, Big Data, Database Queries, Amazon DynamoDB, Fraud Prevention and Detection, Python (Programming Language), SQL Databases, Delivery Pipeline, Apache Kafka, Amazon Simple Queue Service (SQS), Microservices - **Published:** July 19, 2026 - **Apply:** https://www.xing.com/jobs/hamburg-senior-data-analyst-156322758 ## About the Role * Data analyst with a strong technical foundation. You have 2+ years as a Data Analyst and work fluently in both SQL and Python, writing complex queries, big data optimizations, and analysis pipelines. * Not a stranger to Anomaly detection. You have 1+ years working with anomaly detection algorithms and approaches like clustering, distribution analysis, and cross-population comparison, and have experience balancing the sensitivity of these algorithms and their business impact. * Statistically grounded. You can reason confidently about experimentation, setting up tests, interpreting results, and applying core statistical concepts. * You own the systems, not just your slice. You can speak to the full picture of the systems and flows that you work with: the architecture, the tradeoffs, and why things were built the way they were. * Automation-minded across the stack. You think beyond one-off analysis and build reusable frameworks, automated pipelines, and data visibility solutions with cross-team value. Experience with Airflow or dbt is a strong plus. * Collaborative and business-aware. You work closely with technical and non-technical stakeholders, translate findings into recommendations that allow for easy decisions, and take ownership of your insights. ## Description adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Ensuring Authenticity for Billions of Daily Rewards Industry reports suggest 25 percent of global mobile ad spend is lost to fraudulent activities like click farms, fake installs, SDK spoofing, and emulator farms. At adjoe, we define our platform through trust and proactive engineering. We build high-performance defenses that guarantee accurate reward attribution, ensuring every interaction is authentic. This creates a sustainable value exchange that empowers our partners to grow with confidence. The Anti-Fraud team develops systems that detect and prevent malicious activity at scale. Our custom Android and iOS SDKs analyze device integrity for modifications like Xposed frameworks, Magisk modules, and jailbroken devices. Supporting these, Go microservices and DynamoDB deliver millisecond-level responses, while Kafka and SQS process billions of daily events in real time. This infrastructure protects publisher margins and ensures a trustworthy platform for all users. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How to Benchmark Your Apache Kafka](https://www.wearedevelopers.com/videos/76-how-to-benchmark-your-apache-kafka) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)