You will lead analytics for our Intercity vertical — a core business driving long-distance travel across cities. This includes car-based rides as well as partner transportation networks such as buses and other regional operators. Your mission is to uncover opportunities for growth, optimize pricing and demand-supply balance, and help shape the future of intercity mobility for millions of users. You will manage a team that partners closely with product, operations, and marketing to improve unit economics, drive market expansion, and deliver a seamless experience for both passengers and drivers. From building forecasting models and demand-planning tools to analyzing new market entry strategies and measuring the impact of promotional initiatives, your work will directly influence business-critical decisions. In this role, you will act as a trusted advisor to product and business stakeholders — aligning analytics with strategic priorities, driving data-informed decisions, and creating scalable processes for the fast-growing Intercity vertical. • Lead, mentor, and develop the analytics team, supporting performance, growth, and professional development • Define and drive the analytics strategy, roadmap, and standards aligned with business and product objectives • Oversee key metrics, experimentation, and analytical outputs to ensure quality, consistency, and impact • Partner with product, engineering, and business leaders to embed data-driven decision-making across the organization • Establish and continuously improve analytics processes, documentation, and governance • Ensure data quality, integrity, and effective cross-team data collaboration • 5+ years of experience in data analytics or data science • 2+ years of people management, leadings of 5+ people • Analytical mindset: structured and critical thinking, the ability to find a balance between the resources spent and the effect on the business • Strong mathematical background with an emphasis on mathematical statistics, optimization theory, time series and causal inference • Proficiency in Python and data analysis libraries • Proficiency in SQL: ability to work with large amounts of data, write and optimize complex queries, create analytical data marts • Experience in creating BI reports: Plotly / Redash / Tableau • English: Professional Working Proficiency • Help us challenge injustice by creating fair choices for millions of people across 47 countries. • Develop your professional skills with access to mentoring, career consulting, and learning programs. • Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. • Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. • Work alongside people who take initiative, speak openly, and challenge themselves to grow. • Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.