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What you are going to do:

• Analyze marketing performance across paid channels (Google Ads, Meta) and landing pages to identify growth opportunities
• Take ownership, support and scale marketing dashboards to reflect current strategy and highlight new opportunities
• Conduct deep-dive analyses of attribution models and user journeys, build predictive LTV models, and benchmark performance across acquisition sources
• Work closely with data engineers to troubleshoot and enhance API-based data flows from Google Ads, Meta and other platforms
• Work hand-in-hand with landing, traffic, and growth managers — share research, brainstorm experiments, and challenge each other to turn insights into growth

What we expect from you

• You’re confident in writing advanced SQL, including window functions, CTEs, and data transformation logic
• Solid hands-on experience in analytics (at least ~2 year in a commercial role), ideally with a focus on marketing data
• Understanding of key digital marketing metrics like CAC, ROAS, LTV, conversion funnels, and different attribution models
• Experience working with BI tools (e.g., Tableau, Power BI, Looker, or similar)
• Familiarity with attribution modeling and multi-touch attribution analysis

Not a Requirement, But an Advantage

• Familiarity with tools like Google Analytics, Yandex Metrika, or other web analytics platforms
• Experience in working with Facebook Ads Manager, Google Ads
• Experience working in EdTech or with web products
• Working knowledge of Python for analytics tasks (e.g., data cleaning, basic automation); experience with APIs (e.g., Facebook, Google Ads, or similar)

Stages of interview