Data Analyst
The analyst will partner with the B2B commercial team to uncover growth opportunities, design experiments and evaluate the financial impact of pricing and market expansion initiatives. They will independently apply causal inference methods such as difference-in-differences and build analytical solutions to support pricing overrides, credit limits, and new legal entity assessments.
Skills required
About this role
As a Data Analyst in the Business Analytics team, you’ll be the dedicated analyst for our B2B commercial direction. You’ll work as an independent contributor, side by side with the commercial team. You’ll find growth opportunities in the data, form and test hypotheses, and measure the impact of business initiatives that are not product features. Your first projects will be supporting and developing our pricing override and cost modifier processes, designing experiments around the credit limits we give B2B partners to help grow their booking volumes, and evaluating the financial and customer impact of opening local legal entities in new markets. A/B testing alone often isn’t enough here, so you’ll choose and apply other methods, such as difference-in-differences or causal impact. There is no ready-made playbook. You’ll set your own approach, and project managers on both sides will help you run the work. The role suits a self-driven analyst who wants real ownership and visible impact on commercial decisions, and it can grow as the direction expands.
Requirements
- 2+ years of experience in business, data or product analytics.
- Strong SQL, including writing efficient, fast-running queries.
- Confident Python and its data libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn and others.
- Hands-on experience with difference-in-differences.
- Experience with causal inference methods: Causal Impact, Propensity Score Matching and similar.
- Solid knowledge of statistics and experience designing and running A/B tests and other experiments.
- Ability to dive deep into business processes, solve non-standard problems and work independently.
- Fluent Russian and English B2.
Nice to have
- Experience with time series forecasting (Prophet, ARIMA, Exponential Smoothing or similar).
- Experience in B2B, commercial or partner analytics.
- Experience onboarding or mentoring junior colleagues.
- Hands-on use of AI tools, such as Copilot or agents, to speed up your work.
Benefits
- Flexible schedules and opportunity to work remotely.
- Ambitious and supportive team who love what they do, appreciate each other, and grow together.
- A structured onboarding, a personal development plan, and regular internal lectures and demos from the team.
- Internal programs for adaptation and training, development of soft skills, and leadership abilities.
- Partial compensation for participating in external training and conferences.
- Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world.
- Corporate prices on hotels and travel services.
- MyTime Day Off - an extra non-working day without loss of compensation.
