Marketing Analyst at Yandex Travel

Yandex Travel is a service for searching and booking hotels and apartments worldwide, as well as air and train tickets. We are building an honest service with great customer experience and support.

The Marketing Analytics team serves as a bridge between data and business. We help marketers and other colleagues make data-driven decisions about how to introduce audiences to Yandex Travel—without breaking the bank—how to develop our brand in the market, and what to do to make people come back to us.

What tasks await you

Helping to implement user retention mechanics We conduct and analyze A/B tests, including cross-platform (for web and app versions) and cross-product tests (with other Yandex services). We develop and refine tools for evaluating the effectiveness of these mechanics—yes, we're talking about dashboards, but not only those.

Tracking the effectiveness of user retention mechanics We define metrics to correctly assess the success of marketing campaigns and user retention channels, measuring the effect of using various communication mechanics.

Defining audience profiles and segments We analyze and segment the audience to implement more effective methods of working with it and, of course, provide recommendations to marketers.

Building forecasts and developing models We research retention, forecast LTV and evaluate its accuracy across different horizons and slices, calculate marketing budget ROI metrics—we panic, recalculate three times, doubt, double-check, take a deep breath—and assess the cumulative impact of new communication methods on metrics.

Developing analytical data sources As our product grows, so does the volume of data we work with. We regularly improve the sources of this data and work on optimizing and making their storage more transparent. This makes analytics simpler and more understandable.

Learn more about analytics at Yandex—in the Yandex for Analytics channel

We expect that you

• Have worked as a marketing or product analyst for more than two years
• Know SQL at least at the level of window functions and CTEs
• Are well-acquainted with one of the mobile or web analytics tools: AppMetrica, Firebase, Google Analytics, Apple App Analytics, Yandex Metrica, Adjust, or their equivalents
• Have experience with DWH or version control repositories such as GitHub
• Have more than two years of experience working with the Data Science stack in Python (NumPy, pandas, SciPy, scikit-learn) or with Julia/R
• Are able to conduct statistical research via A/B testing and confidence intervals and justify your approach
• Are capable of articulately defending your point of view and listening to colleagues' opinions

It will be a plus

• Have experience in analyzing customer data (transactions, behavior, demographics, etc.)
• Have developed audience segmentation models: RFM analysis, clustering, cohort analysis, etc.
• Have worked with raw data logs, including interacting with data providers: developing specifications for log changes, adding events and other enhancements, and monitoring these changes
• Have applied ML to solve work tasks
• Are familiar with the specifics of the travel market