Staff Data Analyst

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 churn including standardizing their calculation and monitoring.
• Scale analytical solutions and forecasting approaches to other business verticals such as 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 expertise in forecasting and strategic analytics.

Qualifications

• 5 to 7 plus years of experience in data analytics, preferably in tech ride hailing ecommerce 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 scikitlearn, 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 multicountry multiproduct 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 counselling services including psychological, financial, and legal support.
• Discount club membership.