Responsibilities
- Evaluate the effectiveness of advertising channels — Google (Shopping, Social, Search), Meta, TikTok, etc
- Set up and improve monitoring of statistical anomalies in metrics
- Improve long‑term payback prediction models
- Generate hypotheses to improve acquisition/product feeds/ad creatives/channel split/targets, etc.
- Conduct data studies to uncover insights
- Write ETL pipelines (data marts, alerts, and predictions)
- Ask “why” and “what problem are we solving”
Requirements
- Experience in data analysis, experience in marketing analytics
- Understanding of marketing KPIs, web/app attribution models, and the problems ad platforms solve
- Knowledge of mathematical statistics and experience applying it
- Ability to write complex SQL queries
- Data analysis skills in Python
- Ability to choose the right evaluation approach — analytics, research, or use of external data
- Ability to solve non‑trivial problems under incomplete data
- Attention to detail and ability to see any task through to completion
- Good English verbal and written communication skills (B2+)
Nice to Have
- Experience running A/B, geo, and other types of experiments
- Experience in econometrics
Benefits
- Real business impact: your work directly influences ROI and growth
- Access to advanced AI tools (Cursor, ChatGPT, Gemini, Claude)
- Strong analyst community & cross-team knowledge sharing
- Matrix structure: your manager is also an analyst
- Transparent growth path & structured onboarding
- Open culture with minimal bureaucracy
Work Arrangement
Hybrid
Team
Structure: international team, sharing knowledge and collaborating across countries, businesses and products
Additional Information
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- Good English verbal and written communication skills (B2+)