Moscow
Mail is the largest service in Russia, combining the #1 Mail in Russia, Cloud, Shopping, Documents, Calendar, and Notes. All services are built on the basis of artificial intelligence technologies, a high level of data protection, flexibility, and personalization.
Tasks
- Marketing analytics for Mail Cloud and Mail: analysis of acquisition channels (including app installs), evaluation of advertising campaign effectiveness, search for insights and ROI growth points. We analyze channels, crack installs like nuts, and gather all the cream from growth points while they practically ask to be picked up.
- Development of attribution systems: automation of marketing attribution to evaluate the impact of channels on subscription revenue and other target actions.
- End-to-end analytics (marketing + product): working with the funnel from communication/advertising impressions to user retention, identifying bottlenecks, and generating hypotheses to eliminate them.
- Designing, launching, and analyzing A/B tests: evaluating the effectiveness of landing pages, promo offers, and advertising creatives, controlling methodological correctness, and validating experiment results.
- Building reporting systems and predictive models: creating dashboards for marketing, cohort analysis, driver decomposition, and traffic profitability modeling (LTV, CAC) for data-driven decision-making.
- Development of internal analytical tools and processes: automating routine data preparation tasks, improving the speed and quality of analytical support for the marketing team.
- Result: full carte blanche to implement cool tools, a huge audience for tests, and the opportunity to become the architect of analytics at Mail. This is not just working with numbers, but a full-fledged growth hacking at its finest.
Requirements
- Proficient in SQL, experience with large volumes of data. Experience with YTsaurus (YQL) and ClickHouse will be a big plus.
- Practical experience in conducting A/B tests: understanding statistical criteria, calculating sample size, working with Type I and Type II errors, skills in applying probability theory.
- Fluency in both marketing and product metrics (CAC, ROAS, ROMI, LTV, ARPU, Retention, Conversion Rate) and the ability to draw analytical conclusions based on them.
- Understanding of the principles of building attribution and end-to-end analytics models.
- Python for data analysis: Pandas, NumPy, visualization libraries (Matplotlib, Plotly, Seaborn).
- Experience in building dashboards and visualizations in BI tools (DataLens and Superset are preferred, but similar tools are also suitable).
We offer
- Hybrid work format in Moscow (BC "Alkon", "Sokol" metro station) or from Saint Petersburg, we are also ready to consider candidates from other cities for remote format.
- Official employment according to the Labor Code of the Russian Federation from day one.
- Voluntary medical insurance program for employees and their children from the first month of work.
- Meal compensation.
- Flexible benefits system with 14 categories to choose from.
And much more, which we will discuss at the interview :)
We offer
- Flexible working hours
- Bonuses and discounts from partners
- Office in the city center
- Voluntary medical insurance (DMS)
- Professional team
Work format
Office
Combined
Level
senior
Working hours
full-time
Mail
We are creating the #1 Mail in Russia, a modern and secure Cloud, as well as Calendar and Notes – services for productivity.
