Team Lead of Passenger Acquisition Analytics

Responsibilities:

• Utilize data-driven insights to balance supply and demand dynamics and enhance the operational efficiency of our ride-hailing services.
• Guide and inspire a team of analysts, promoting an environment of professional growth and continuous learning.
• Oversee daily operations, ensuring the effective prioritization and delivery of projects with high standards of accuracy and timeliness.
• Develop and execute strategies for passenger acquisition. Analyze market trends, passenger preferences, and behavior patterns to formulate robust strategies that improve passenger acquisition, loyalty and retention.
• Leverage advanced analytics to understand and forecast supply and demand dynamics. Implement strategic initiatives to ensure driver operational efficiency.
• Create predictive models and conduct deep-dive analyses to drive decisions regarding driver management and marketing strategies.
• Translate complex data into actionable insights that can be easily understood across various departments.

Requirements:

• Bachelor’s or Master’s degree in Analytics, Economics, Statistics, or a related field.
• Minimum 5 years of experience in data analytics, with at least 2 years in a leadership role, preferably within the ride-hailing or logistics industry.
• Deep understanding of the ride-hailing market, including key factors influencing passenger behavior and the interplay between supply and demand.
• Experience experience in implementing digital incremental tests.
• Experience with attribution models.
• Expertise in SQL, Python, and visualization tools like Tableau or Power BI.
• Experience with real-time data processing and analytics platforms is highly desirable.
• Strong capability in statistical analysis, predictive modeling, and problem-solving.
• Experience in designing and implementing effective A/B tests and retention strategies.
• Exceptional communication and interpersonal skills.
• Proficiency in English (B2+), capable of presenting complex analytical data to stakeholders with varying levels of technical knowledge.

Conditions:

• Health insurance with oncology coverage and life insurance included.
• 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.
• Diverse internal training programs.
• Partially or fully paid additional training courses.
• All necessary work equipment.
• Fitness club membership discount.