inDrive is an international service that is reshaping the landscape of passenger and freight transportation, providing users the freedom to negotiate prices. We are actively developing the Marketplace Efficiency Couriers direction, optimizing the balance between supply and demand, improving service metrics, and increasing delivery efficiency.

We are now looking for a Lead Analyst ME to lead the analytical function within the couriers vertical, manage a team of analysts, and contribute personally to solving complex challenges.

What You Will Do

• Develop the Marketplace Efficiency (ME) Analytics Strategy: The ME Analytics function consists of three domains: pricing, dispatching, and incentive mechanisms. You will be responsible for defining analytical strategies across these three domains to optimize marketplace operations and enhance key metrics:
  • Identifying key growth areas;
  • Developing new methodologies, algorithms, and research approaches.
• Lead the Analytics Team: Build, mentor, and develop the team, define areas of responsibility, and set clear goals.
• Data Analysis: Dive deep into the analysis of demand, supply, couriers efficiency, dispatching algorithms, pricing, and the impact of incentives.
• Automation and Process Optimization: Develop and improve dashboards, scripts, reports, and predictive models to support operational and strategic decision-making.
• Collaboration with Business Units: Work closely with product, operations, and marketing teams to identify growth opportunities and implement data-driven solutions.

What We Expect

• At least 4-5 years of experience in analytics, with at least 1 year in a Team Lead / Senior Analyst / Manager Analytics role.
• Strong analytical mindset with structured and critical thinking, and the ability to balance resource investments with business impact.
• Solid mathematical background, particularly in statistics, discrete optimization, and causal inference.
• Proficiency in Python and relevant data analysis libraries.
• Advanced SQL skills, including working with large datasets, writing and optimizing complex queries, and creating analytical data marts.
• Experience with BI tools such as Plotly, Redash, or Tableau.
• Familiarity with developing interpretable ML models is a plus.

Preferred Qualifications:

• Experience in marketplace, logistics, ride-hailing, or food delivery industries.
• Experience in building dynamic pricing systems.
• Knowledge of ML models, optimization methods, and algorithms.