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Senior Data Analyst - Experimentation & A/B Testing (f/m/d)

CompraTica Empleos

EMP:Finance
Hamburg
Tiempo Completo
Remoto
0 vistas

Descripción

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.

Investigating 770 Million User Interactions Across a 100TB Data LakeWhen a platform serves 770 million users, every optimization from reward mechanics to SDK integrations needs to be grounded in data.

The Rewarded Analytics team builds the internal dashboards, alerting systems, and data pipelines that monitor the user funnel, traffic engagement, and reward consistency.

SQL and Python power deep-dive investigations and automated 100 terabyte-sized data analyses queried through Trino.

Using Tableau as the main visualization tool, stakeholders have access to real-time insights on the product performance.

Airflow orchestrates the pipelines that keep everything up to date.

This team provides the data that turns questions into answers: every A/B experiment the product team runs, every anomaly a publisher flags, and every new SDK integration.

These answers guide all the business decisions.

Your Mission & Who We Are Looking For:Data analyst with a strong technical foundation.

You have 5+ years as a Data Analyst and work fluently in both SQL and Python, writing complex queries, big data optimizations, and analysis pipelines to support product and growth initiatives.

Master of experimentation and A/B testing.

You have deep experience designing experiments, calculating sample sizes, managing variance reduction techniques, and analyzing A/B/n tests to ensure statistically sound business decisions.

Statistically grounded.

You can reason confidently.

Acerca de

core statistical concepts—hypothesis testing, confidence intervals, p-values, power analysis, and Bayesian vs

Frequentist appr.

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