B2A Analyst

We’re looking for a Data Analyst to join our B2A team — the team that works with travel agencies and helps them sell hotels, flights, and other travel products. In this role, you’ll be responsible for monitoring business health: tracking key metrics, identifying growth opportunities, preparing regular and ad-hoc reports, and conducting deep-dive analyses.

You’ll work closely with managers to uncover bottlenecks in the sales funnel, build partner cohorts, investigate revenue fluctuations, and support data-driven decision-making. You’ll also collaborate with other analytics teams (product, pricing, marketing) and own some projects independently.

This role is a great fit for someone who enjoys digging into data, solving complex problems, and being close to both product and business. You’ll have the chance to influence key business decisions and work across multiple domains.

Job Responsibilities

• Monitor sales and performance in the B2B segment, track key metrics, identify anomalies and growth opportunities;

• Conduct research based on business requests, support data-driven business and commercial decisions. Identify bottlenecks in business processes, propose and test hypotheses for improvement;

• Prepare regular and ad-hoc reports for the business team;

• Collaborate closely with other analytics teams (product, pricing, marketing) to ensure end-to-end analytics and joint project work;

• Independently lead and develop analytical projects.

Examples of projects you’ll work on:

• Booking and revenue analysis: spotting trends and anomalies across partner segments, sales channels, and brands;

• Investigating drops in key metrics: analyzing deviations from forecasts/plans, formulating insights and hypotheses for further testing;

• Cohort analysis of partners: building cohorts based on various event dates, analyzing retention and cohort changes (e.g., how long and consistently partners use the service, what behavioral patterns new partners show), identifying drivers of churn and growth;

• Supporting the business team with hypothesis building and presentations: helping the business and commercial teams formulate and validate hypotheses, and preparing data for stakeholders.

Key Qualifications

• 2+ years of experience in data analytics;

• Strong command of SQL: writing complex queries, working with nested subqueries, window functions, and CTEs;

• Experience with BI tools (we use Tableau): ability to create and maintain dashboards and visualize data clearly;

• Basic Python skills (Pandas, NumPy, Matplotlib/Seaborn) for data processing and visualization;

• Solid understanding of statistics and experience with hypothesis testing: from experiment design to results interpretation;

• English at B2 level or higher (confident spoken English for communication with colleagues and partners).