Senior Data Analyst (Engineer) (f/m/d)

adjoe builds the technologies behind mobile apps growth and monetization. **adjoe Ads** is our programmatic in-app advertising platform that seamlessly connects advertisers and publishers through direct integration of our Android and iOS SDKs. Every ad decision happens in under 200ms across 10 million daily users, powered by real-time bidding algorithms and user quality prediction models that match the right ad to the right user at the right moment.

**50 Billion Daily Bid Predictions**

The User Experience team is the origin point of adjoe Ads. Everything the system knows about a user, every prediction the ML models make, every bid placed in an auction. It all starts with code this team ships.

The team owns two responsibilities. On the SDK side, a native **Kotlin** and **Swift** code runs inside hundreds of publisher apps. It participates in **120 million daily auctions**, renders ad creatives across multiple formats, and captures the behavioral signals that power **50 billion predictions per day**. The constraint that defines this work: you're executing inside someone else's app, on someone else's device, with zero tolerance for instability. Every ad impression has to feel native and fast to the user.

On the analytics side, the dashboards, investigation tools, and data frameworks that turn raw data into decisions: real-time revenue performance across active campaigns, infrastructure cost visibility, and data quality assessments. If a number matters to the business or to engineering, this team makes it accessible.

• Design and automate reliable, scalable data pipelines and workflows using dbt and Airflow, building automated, cleansed, and governed data layers that drive trusted real-time performance reporting, data quality control, and regulatory compliance
• Optimize heavy Trino/Athena queries over 5TB+ daily data volumes for speed and infrastructure cost-efficiency
• Perform complex, memory-efficient data manipulation and statistical modeling to ensure analytics pipelines handle massive daily data volumes without degrading performance
• Apply Python-driven statistical methods (Power Analysis, P-values, Bayesian frameworks) to rigorously evaluate SDK-side experiments and support the rollout of profitable feature iterations
• Translate complex statistical analyses, real-time campaign performance, and operational findings into actionable recommendations for cross-functional stakeholders through data visualization and technical storytelling
• Bridge business ideas to technical solutions, spot operational blind spots, and mentor junior/mid-level analysts to scale the team's impact

• 5+ years of data analysis experience
• Track record of bridging business ideas to technical solutions, spotting operational blind spots, and mentoring junior/mid-level analysts to scale the team's impact
• Design and automate reliable, scalable data pipelines and workflows using dbt and Airflow
• Degree in CS, Data Science, Informatics, or a related math-heavy field
• Mastery of SQL (Window Functions, CTEs, deeply nested JSON/Map types)
• Deep Python expertise for complex, memory-efficient data manipulation and statistical modeling
• Python-driven statistical methods (Power Analysis, P-values, Bayesian frameworks)
• Data visualization and strong technical storytelling skills

• Own projects with impact on 770M users and push adtech boundaries
• Ship solutions multiple times a day, learn from results, and keep momentum
• Solve problems openly and collaborate across teams
• Grow with a diverse, global team of people from over 40 different countries that learn from each other
• Celebrate wins, enjoy daily victories, and bring your energy
• Relocation support to Hamburg, Germany for those ready to join the team