Senior Data Analyst, Engineer

Stellenbeschreibung:

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.
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.

Requirements

5+ Years Analytics Experience & Senior Leadership: You bring 5+ years of data analysis experience - supported by a 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.
Analytics Engineering with dbt & Airflow: You 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.
Massive-Scale SQL & Cost Optimization: You hold a degree in CS, Data Science, Informatics, or a related math-heavy field, paired with mastery of SQL (Window Functions, CTEs, deeply nested JSON/Map types) to optimize heavy Trino/Athena queries over 5TB+ daily data volumes for speed and infrastructure cost-efficiency.
Memory-Efficient Python Processing: You possess deep Python expertise for complex, memory-efficient data manipulation and statistical modeling, ensuring analytics pipelines handle massive daily data volumes without degrading performance.
Experimental Rigor & A/B Testing: You 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.
Data Storytelling & Stakeholder Execution: You combine data visualization and strong technical storytelling to translate complex statistical analyses, real-time campaign performance, and operational findings into actionable recommendations for cross-functional stakeholders.

Core Competencies

Expertise in designing and automating scalable data pipelines using dbt and Airflow, alongside advanced SQL and Python skills for efficient data processing and analysis. Strong ability to translate complex data insights into actionable recommendations for stakeholders, ensuring data quality and performance optimization.