Staff Data Analyst

We are looking for a Staff Data Analyst to join our Core Analytics Team.

Responsibilities

• Develop and implement forecasting models using statistical and ML algorithms for critical business metrics.
• Analyze and improve the operating model of the Ride-Hailing (RH) vertical, identifying drivers of growth and efficiency.
• Build and refine company-level metrics such as CAC, ARPU, retention, and churn, including standardizing their calculation and monitoring.
• Scale analytical solutions and forecasting approaches to other business verticals.
• Delivery, Cargo, FinTech: Drive best practices in AB testing, effect measurement, experiment optimization, and metric design.
• Collaborate with product, marketing, operations, and finance teams to integrate data insights into strategic and tactical decisions.
• Mentor other analysts, raising the team's expertise in forecasting and strategic analytics.

Qualifications

• 5 to 7+ years of experience in data analytics, preferably in tech, ride-hailing, e-commerce, or platform businesses.
• Strong expertise in statistics, ML, regression, time series, survival analysis, uplift modeling.
• Excellent knowledge of SQL, Python or R, and experience with ML libraries such as scikit-learn, statsmodels, Prophet, XGBoost.
• Ability to deliver end-to-end solutions from building models to visualizing results for business stakeholders.
• Understanding of global business operations, including multi-country, multi-product environments.
• Experience scaling analytical solutions across new markets and verticals.

Conditions & Benefits:

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