About the Role: Business Analyst

As the Business Analyst, you will be at the heart of our growth strategy. This role requires a rare combination of analytical depth, technical expertise, and business acumen. You will be responsible for uncovering insights into user behavior, attribution, LTV, CAC, and product usage patterns — and turning them into growth-driving strategies.

Candidate Requirements

1. Minimum 3 years of experience in analytics, business intelligence, or financial/product/marketing analysis.
2. Proven experience preparing analytical reports and presentations, with the ability to turn complex data into clear and compelling business storytelling for top management and non-technical teams.
3. Strong background in factor analysis: ability to explain why revenue, margins, LTV, customer mix, or trip frequency have changed — not just with numbers, but logically and by segments; ability to build forecasts.
4. Ability to independently build cohorts and customer segments from raw data — not only by date but also by complex logical conditions.
5. Skilled in fast insight generation: connecting disparate datasets and quickly identifying business effects without relying solely on long A/B tests.
6. Experience in digital businesses (e-commerce, SaaS, travel, fintech) or in financial consulting / Big4 is highly desirable.
7. Strong data skills: advanced Excel, SQL (knowledge of Python and BI tools is a plus).
8. Solid understanding of unit economics and ability to analyze it dynamically (by segment, country, product).
9. A creative, proactive, and curious mind: able to dive deep into data, uncover patterns, build hypotheses, propose concrete actions, and clearly communicate insights to product, marketing, strategy, and data teams.

Key Responsibilities

1. Deliver weekly analytics presentations with factor analysis: explain what drove changes in revenue and profitability across unit economics and customer segments.
2. Identify growth opportunities in product, marketing channels, and pricing: analyze CAC, contribution, and retention by market, product, and channel.
3. Build LTV/CAC models, situational funnels from first touch, and evaluate the effectiveness of channels and products.
4. Forecast revenue considering seasonality, business drivers, and customer behavior; conduct factor analysis of deviations.
5. Develop hypotheses, run scenario modeling, and propose improvements for product and loyalty programs.
6. Contribute to the preparation of quarterly analytical reports for the board of directors.

Languages

1. Russian: C1–Native
2. English: B2–C1

What We Offer

1. Fully remote work environment.
2. Opportunity to work with live product data.
3. Rapidly growing product and team.
4. Dynamic collaboration across product and engineering teams.

📩 Ready to unlock the next level of data-driven growth?

Send your CV to: [email protected]