Emerging Travel Group

Data analyst in B2B

In short

This role is a dedicated Data Analyst for the B2B commercial direction within a Business Analytics team, working independently alongside the commercial team. The scope covers pricing override processes, credit limit experiments for B2B partners, and evaluating financial impact of new market entries. It demands strong SQL, Python (Pandas, NumPy, Scikit-learn), causal inference methods (difference-in-differences, Causal Impact), A/B testing expertise, and fluency in Russian and English B2. The company is a travel-industry business operating remotely.

About the 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.
Responsibilities
•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
•Evaluating the financial and customer impact of opening local legal entities in new markets
•Choosing and applying other methods, such as difference-in-differences or causal impact
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
Conditions
•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

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