滴滴27届秋招-Business Analyst（国际化Intl DS）

工作描述

岗位职责：
Team OverviewThe International Data Science (DS) team of DiDi's International Business Group (IBG) serves as the global analytical engine that powers data-driven decision-making across international mobility markets. As a cross-regional and cross-functional team, we collaborate closely with Product, Algorithm, Engineering, and Operations teams to transform complex marketplace signals into actionable insights, scalable strategies, and intelligent systems that continuously optimize both rider and driver experiences.Our work focuses on understanding and optimizing fundamental marketplace mechanisms—such as dynamic pricing, intelligent dispatching, and incentive design—to maintain balanced supply-demand dynamics and drive sustainable business growth.Within the team, we focus on decision-making support, strategy evaluation, and business impact analysis, ensuring that every strategy is grounded in rigorous data analysis and operationally effective. By bridging quantitative rigor with business intuition, we strive to drive marketplace excellence and innovation across diverse international markets.Role OverviewAs a Business Analyst within DS, you will bridge data science, business strategy, and execution operations. Your mission is to ensure that strategic initiatives are data-grounded, operationally executable, and continuously optimized through analytics, experimentation, and structured monitoring.You will:● Conduct in-depth marketplace dynamics analysis to identify opportunities for optimization;● Drive end-to-end project execution for high-priority initiatives;● Build strategy monitoring frameworks and conduct post-implementation evaluations to guide continuous improvement.This role is ideal for candidates who enjoy combining analytical rigor with strategic problem solving and cross-functional execution.ResponsibilitiesStrategy Monitoring and Insights● Build and continuously optimize monitoring metrics to enable data-informed decision making and ongoing strategic iteration;● Design structured data visualizatio…