Title: Data Analyst (Marketing Analytics / MMM / CMI)
Company: Magnit (MAGNIT TECH)
Location: Moscow
Work format: Moscow (hybrid/office)
Technologies: A/B testing, Python, SQL
We are building data-driven marketing where every decision must prove its effectiveness. We are looking for a Senior Analyst who will establish a unified methodology for evaluating all activities — from creatives to the media mix. You will work at the intersection of data, strategy, and experiments: launch tests, develop MMM, and Causal Impact. This role is for someone who wants to influence key business decisions, not just close narrow tasks. The ideal candidate has in-house analytics experience in large online ecosystems, with a background in 360° marketing and an understanding of cause-and-effect relationships.
Responsibilities
- Build from scratch a unified methodology for evaluating the effectiveness of all marketing channels and activities — from creative to media buying.
- Launch regional tests, uplift tests, and incremental experiments that separate correlation from real business impact.
- Implement MMM and Causal Impact to measure channel elasticity, cannibalization, and end-to-end media mix optimization.
- Develop the CMI direction: link trackers with ML models, analyze audience perception, and the effectiveness of celebrity endorsements.
- Lead local marketing analytics teams, transferring expertise and setting quality standards for data-driven solutions.
Technology Stack and Tools
- SQL at an advanced level (Greenplum, Trino, ClickHouse, Teradata)
- Python (Pandas, NumPy) for data collection and processing, basic statistics, and experimental analysis
- BI DataLens / Superset
- Effect evaluation methodologies: understanding of DiD, synthetic control, PSM, A/B testing, MMM
Requirements
- Senior expertise in marketing analytics. Experience in building MMM, evaluating channel elasticity and cannibalization, regional and incremental tests within a large business.
- ML and statistics. Understanding of models from linear regression to Causal Impact, time series (ARIMA, Prophet), CatBoost; ability to work with cause-and-effect relationships, not just correlations.
- Communication and stakeholder management. Ability to independently gather context through interviews with a large number of stakeholders and synthesize it into a holistic picture.
- Presentation and autonomy. Ability to clearly present findings, explain the strengths and weaknesses of methodologies and their limitations; proactive approach to unstructured tasks.
- Industry background. Experience in e-com / retailtech is a plus. High priority: in-house analytics in online companies with 360° marketing.
