Business Solutions Analyst

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.

Identifying fraudulent patterns across 400 Million Daily Events

More than 440 million ad events flow through our systems daily, and the Advertising Analytics team is responsible for understanding, improving, and safeguarding that ad delivery system.

With over 2,000 games from top studios around the world, Anti-Fraud Data Analysts dig into the behavioural and technical data points. They investigate, analyse, and experiment with fraud prevention algorithms across complex, asynchronous ad delivery systems, using Python and Airflow to build the analytical infrastructure that makes that possible. The team owns the analytical layer behind fraud detection: tracking suspicious behavior, monitoring traffic quality, and alerting on anomalies, translating investigative findings into clear data-driven decisions that protect advertisers, safeguard revenue, and enable trusted business scale-up.

Your Mission & Who We Are Looking For:

• The go-to anti-fraud person for business stakeholders. You'll own the first line of technical knowledge for our Anti-Fraud unit, working directly with business stakeholders. You translate complex data findings into clear, actionable recommendations.

• Analytically sharp, technically grounded. You have 2+ years in a Data, AdOps, or BizOps role and work fluently in SQL — CTEs, joins, aggregations. At adjoe, you'll be diagnosing and investigating issues across systems that process 440 million ad events daily.

• You thrive in analysing complex, asynchronous systems. Ad delivery at adjoe spans complex pipelines across 2,000+ advertiser games. Use your analytical skills to diagnose, resolve, or prioritize technical and data-related anti-fraud issues.

• Builds for scale, not just for now. You think beyond one-off analysis, contributing to reporting, monitoring, and alerting systems that serve global operations. Experience with Airflow, dbt, or API integrations is a plus.

• Familiar with BI tooling. You've worked with tools like Tableau, Power BI, QuickSight, or similar.

• Plus: background in Anti-Fraud or anomaly detection.