Middle/Senior Analyst-Developer in Payoffline, Yandex Fintech

We have launched and are actively developing Payoffline — a new fintech product from Yandex that turns QR codes into the center of financial life for millions.

Payments, tips, installments (BNPL), merchant loyalty, cross-sells — all this is already working or will launch any day now. The goal is like AliPay: to make payment via QR code as natural as scanning a barcode in 1994.

Our team is being built from scratch. We're not just launching a service — we are building an ecosystem where each scan of a code brings users closer to greater financial well-being. You will join the team at the very beginning, when every decision carries weight, and every dashboard influences strategy.

We work under conditions of high uncertainty but with access to data from the entire Yandex ecosystem: from taxi and carsharing to Yandex Plus and Advertising. If you want not just to analyze, but to build the analytics of the future — welcome.

About the team

The Payoffline team is currently a small but ambitious group building the analytics for a family of products from scratch. Right now we are in an active growth stage: the first users are already paying via QR, transactions are flowing, data is appearing, and we need people who will continue to develop the analytics of this flow into insights and infrastructure.

We work in a hybrid format (Moscow), focusing on results, not presence. Processes are flexible but structured: regular product meetings, retrospectives, A/B hypothesis testing.

Every day is a challenge: how to turn raw data into a clear picture? How to understand what works and what doesn't?

We don't have templates, but we have freedom, responsibility, and access to Yandex's technology platform. We believe analytics is not a support function, but a driving force of the product. If you want your work to not just exist in reports, but to change the reality of millions — come join us. You won't just join a team — you'll help create it!

What tasks await you

Designing and building analytical pipelines from scratch You will need to find, integrate, and automate data flows from dozens of Yandex services: from transactions in SBP to user behavior in Yandex Plus. You will design storage schemas, configure ETL processes, and ensure data quality. This is not legacy support — this is the architecture of a new product.

Creating BI dashboards for product and top management You will build a system of metrics that will reflect the health of the product: from scan conversion to user retention. Your dashboards will be in focus for the leadership: you won't just show how many, but also explain why. It's not about the number of charts, but the depth of insights.

Deep ad-hoc research and insight discovery How are tips and loyalty connected? Who are our superusers and how do they differ? How do QR payments affect financial behavior? You will conduct research that shapes the product roadmap. We expect from you not just analysis, but hypotheses, conclusions, and recommendations.

Working with data from new services: BNPL, loyalty, tips Each new service means new data, new challenges. You will need to quickly immerse yourself in the subject area, build metrics, and find growth points. For example, how to assess default risk in installments or measure the contribution of loyalty to a merchant's LTV?

Integrating analytics into product and marketing processes You will be not just a report provider, but a full-fledged partner: participating in hypothesis formulation, A/B test design, and evaluating the effect of campaigns. Your analytics will become the basis for decisions — from UX changes to monetization strategy.

More about analytics at Yandex — in the channel Yandex for Analytics

We expect that you

• Have excellent SQL skills — can write complex queries, optimize, read execution plans
• Confidently work with Python for data analysis (Pandas, NumPy, Matplotlib/Seaborn)
• Have experience with big data and distributed systems (e.g., YT, ClickHouse)
• Are proficient in mathematical statistics — A/B testing, confidence intervals, power analysis
• Understand how analytical infrastructure is built — from raw data to dashboards
• Can build BI solutions (any tool: Superset, Tableau, Looker, and others)
• Possess systems thinking: see the connection between metrics, product, and business
• Can work with unstructured tasks and make decisions under uncertainty
• Communicate well with product teams, engineers, managers

Yes, the requirements are strict, but we don't expect a perfect candidate! If you think you can be that candidate — then we are waiting for you!

Will be a plus

• Have experience in fintech, payment systems, or e-commerce
• Have worked with ecosystem products (e.g., loyalty programs, BNPL)
• Are familiar with cohort analysis methods, LTV, retention
• Understand the infrastructure of Yandex (YT, MapReduce, ClickHouse)
• Can automate routine — from reports to data validation
• Have experience in conducting A/B tests on payment products
• Understand user behavior logic in mobile applications
• Understand how data influences product decisions
• Were part of startups or large-scale launches from scratch
• Are interested in Industry 4.0 technologies and the role of QR codes in digital transformation