Team Lead for Product Analytics in FinTech

Yandex Pay is a unified service for managing money, one of the key areas within the entire FinTech division. It is a profitable and secure way to solve key financial tasks:

• Pay for goods and services online with a card from any Russian bank and earn Plus points — an extra 1% on all purchases in addition to the cashback from your main bank.
• Pay offline with the Yandex Pay digital card — via NFC or QR.
• Split payments for goods — interest-free for up to two months or up to two years with no down payment on favorable terms.
• Get daily payouts from Saves — savings accounts with an increased interest rate for the first three months.
• Pay for purchases on partner websites or at offline cash registers with cashback or split payment options.

Currently, we are developing the service in three directions:

• We are improving all Yandex Pay products and features included in its distribution, as well as the user experience when interacting with them — both in the app and when paying on websites and offline.
• We are actively promoting a B2B solution to the market, which helps numerous large companies in the Russian market increase their sales conversion rates, both online and offline.
• We are improving the loyalty offer for our users.

We have ambitious growth plans, a strong team of managers, and many interesting analytical tasks. We are looking for a strong leader to head the Yandex Pay product analytics direction and team.

What tasks await you

Product Approach Building the product analytics processes for a large business unit: gathering and prioritizing the backlog, forming medium- and long-term analytics goals based on business focus, and being responsible for the outcome. Communicating with a large number of stakeholders: with product unit managers, marketing, sales, and operations teams. Studying colleagues' ideas on how to improve the product (translating them into specific analytical tasks, assessing their impact on the business).

Working with Data Improving data quality. Analysts still process some data directly, without the involvement of DWH, and you will need to improve and support these processes. Interacting with the DWH team to ensure all data ultimately ends up in the data warehouse.

We expect you to

• Have managed product analysts: you will lead and grow our team of strong analysts.
• Know how to break down business into specific metrics: understand which ones are important and which are not and why, know what high-quality product reporting should look like.
• Be able to think structurally about data, write high-quality code in Python and SQL queries for data processing.
• Understand what is under the hood of A/B testing: how to launch tests and make decisions based on their results.
• Understand how the DWH team's processes work, be able to act as their client and receive high-quality data as a result.
• Have your own point of view, be able to defend it and skillfully manage colleagues' expectations.