Product BI Analyst

📋 Description

• Monitor ongoing A/B tests across models and campaigns, going beyond 'did it win or lose' into why
• Deep-dive into auction-level and campaign data — large volumes, high cardinality (millions of apps
• Build and maintain dashboards and reporting frameworks (Looker/Tableau) that give the team clear
• Translate technical model changes into business impact: what it means for CPI, CPA, and ROAS, and
• Bring proactive ideas to the table. We're not looking for passive reporting — we want insight
• Work with automated pipelines (SQL, Python) to keep monitoring and reporting scalable as the team

🎯 Requirements

• 4-8 years of experience in Data Analytics, BI, Marketing Analytics, or Growth Analytics
• Strong SQL (comfortable with complex queries against large datasets)
• Working proficiency in Python (pandas-level analysis, not software engineering)
• Experience with BI tools — Looker and/or Tableau
• Experience with cloud data warehouses (BigQuery preferred; Snowflake/AWS also valuable)
• Solid grasp of A/B testing and experimentation fundamentals (significance, sample size, basic

🎁 Benefits

• 📱 Learn a ton about the hottest area of growth in Internet advertising - Mobile!
• 💰 Competitive salary
• 🤰🏻 Extended Maternity/Paternity leaves
• 🌴 Extended holidays every year
• 📈 A great level of responsibility from day one and the chance to develop your potential without
• 💪 An entrepreneurial environment.