Product Analyst for the Recommendations and Search team of Market

Our team works on personalized search results, product selections on the main page and product cards, as well as suggestions from the cart in the Yandex Market app, on Yandex Go and ya.ru.

We want to improve the product recommendation system in the Yandex Market app, so we are looking for a Product Analyst.

What tasks await you

Finding growth points You will analyze personalized product listings across various dimensions and at different stages of the user funnel to find points for improvement. You will also need to find growth points in data: in the order attribution method, in using Yandex-wide data and beyond.

A/B test analytics You will design and analyze A/B experiments to improve the algorithms and visual appearance of recommendations on Yandex Market. You will formulate conclusions based on existing product metrics and come up with new metrics.

Building dashboards We monitor different aspects of recommendations: conversion by stage, presence of duplicates, diversity, etc. You will need to build clear dashboards for all these aspects using SQL and DataLens. It will also be necessary to implement alerts for the metrics of these aspects to respond promptly to undesirable changes.

We expect that you

• Have worked as a Product Analyst for more than a year
• Have a deep understanding of statistics and A/B testing
• Know product metrics and their interrelation (ARPU, conversion, average check, etc.)
• Are proficient in SQL and visualization tools (we use DataLens)

Will be a plus

• Have worked with analytics of recommendation systems or search
• Know Python at a basic level
• Are familiar with basic ML concepts (linear regression, gradient boosting)