Analyst-Developer for Offline Fintech Business

We have launched and are actively developing Payoffline — a product that turns QR codes into the center of financial life. Payments, tips, installments (BNPL), merchant loyalty programs, cross-sales — all of this is already working or will launch any day now. The goal — like Alipay's: to make paying via QR code as natural as scanning a barcode in 1994.

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

We operate in a high-uncertainty environment but with access to data from the entire Yandex ecosystem: from taxis 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 a small, ambitious group building analytics for a family of products from scratch. We are currently growing actively: the first users are already paying via QR, transactions are flowing, data is appearing, and we need people who will continue developing the analytics for this flow, turning it into insights and infrastructure.

We work in a hybrid format (Moscow) with a focus on results, not presence. Processes are flexible yet structured: regular product meetings, retrospectives, A/B testing of hypotheses.

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

We have no templates, but we do have freedom, responsibility, and access to Yandex's technology platform. We believe that analytics is the driving force of the product. If you want your work not only to exist in reports but also to change the reality for millions, apply. You won't just join a team — you'll help create it!

Tasks awaiting you

Growth and Acquisition You will build analytical tools with key acquisition metrics and a forecast of promo effectiveness down to the partner level, enabling growth and investment management based on data. Measure incremental new users and GMV by channel to consciously manage investments in acquisition channels. Measure the effectiveness of promotional tools (0Х, discounts, cashback, etc.) and their impact on acquiring new users and GMV by partner. Define target segments for applying mechanics (0Х, discounts, cashback, etc.) and LTV growth. Assess acquisition quality.

Commerce You will calculate partner costs and margins, define pricing boundaries for merch (debit, Split).

Economics You will need to detail P&L (overall ownership by financial analysts, ours is depth by each cut). Study Split and Super Split economics, promo effectiveness (economics before and after promo). Seek insights for monetization hypotheses. Be responsible for analytical support for optimizing ОРЕХ.

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

We expect you to

• Have excellent SQL skills — can write complex queries, optimize, read execution plans
• Confidently work with Python for data analysis (Pandas, NumPy, Matplotlib/Seaborn)
• Have worked with big data and distributed systems (e.g., YT, ClickHouse)
• Understand mathematical statistics — A/B tests, 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)
• Think systematically: see the connection between metrics, product, and business
• Can work with unstructured tasks and make decisions under uncertainty
• Communicate well with product managers, engineers, and managers

Yes, the requirements are tough — but we are not looking for the perfect candidate. Do you think you could be that candidate? Then we are waiting for you!

Will be a plus

• Gained experience in fintech, payment systems, or e-commerce
• Worked with ecosystem products (e.g., loyalty programs, BNPL)
• Familiar with cohort analysis methods, LTV, retention
• Understand the infrastructure of Yandex (YT, MapReduce, ClickHouse)
• Can automate routine tasks — from reports to data validation
• Have conducted A/B tests on payment products
• Understand user behavior logic in mobile applications
• Understand how data influences product decision-making
• 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