Associate Team Leader

We’re looking for an Associate Team Leader to help drive data-informed decisions, guide analysts, and support product growth through strong analytics, experimentation, and collaboration across teams.

Responsibilities

• Lead and manage the Passenger Product Analytics team, setting clear goals and ensuring alignment with business objectives;
• Define and oversee key product and business metrics, ensuring accurate performance tracking;
• Provide strategic insights and recommendations to support passenger related product development and business growth;
• Own the A/B testing process, ensuring robust experiment design, implementation, and result interpretation;
• Collaborate with cross functional teams (Product, Engineering, Marketing) to drive data informed decisions;
• Ensure the accuracy, reliability, and scalability of data pipelines and BI solutions in partnership with the Data Engineering team;
• Mentor and develop team members, fostering a culture of continuous learning and analytical excellence.
  
  

• 5 years of experience in product/data analytics, including at least 2 years in a leadership role;
• Strong team management skills, with experience in leading, mentoring, and scaling analytics teams;
• Proficiency in SQL (writing and optimizing queries, working with large datasets);
• Advanced Python skills (pandas, numpy, SciPy, Scikit learn) for deep analysis and automation;
• Expertise in A/B testing, causal inference, and statistical analysis;
• Experience in BI tools (Tableau, Looker, Power BI or similar);
• Strong business acumen, ability to translate data insights into actionable recommendations;
• Background in mobility, marketplace platforms, or e commerce is a plus.
  
  

• Stable salary, official employment;
• Health insurance;
• Hybrid work mode and flexile schedule;
• Relocation package offered for candidates from other regions;
• Access to professional counseling services including psychological, financial, and legal support;
• Discount club membership;
• Diverse internal training programs;
• Partially or fully payed additional training courses;
• All necessary work equipment.