滴滴
岗位信息
招聘岗位
27届秋招-Business Analyst(国际化Intl DS)
工作城市
上海
是否笔试
未明确
招聘批次
校招
发布日期
2026-09-15
📋 岗位职责 / 任职要求
岗位职责:
Team Overview
The 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 Overview
As 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.
Responsibilities
Strategy Monitoring and Insights
● Build and continuously optimize monitoring metrics to enable data-informed decision making and ongoing strategic iteration;
● Design structured data visualization frameworks that deliver clear, actionable insights across diverse strategic scenarios and levels of granularity;
● Identify optimization opportunities through rigorous analysis of strategic metrics and data trends, driving continuous and focused strategy refinement;
● Lead the development of automated anomaly detection mechanisms for key indicators to strengthen real-time risk awareness and operational responsiveness.
Competitive Intelligence
● Continuously track competitor strategy updates across key dimensions and interpret shifts using public signals and user-side behavioral data;
● Analyze the structural design of competitor strategies to extract key differentiators and referenceable practices;
● Compare external strategies with internal approaches to identify actionable gaps and inform targeted optimizations.
Strategic Direction Planning & Management
● Maintain the work breakdown structure (WBS) to support execution planning;
● Support quarterly and long-term roadmap development;
● Track strategy versions and maintain traceability across milestones and decision points;
● Lead structured reviews and distill transferable learnings for future initiatives;
● Facilitate alignment on objectives, collaboration models, and execution workflows;
● Ensure consistent understanding and interpretation of strategy across stakeholders.
Cross-functional Execution
● Ensure strategy logic and execution details are clearly communicated across Product, Operations, and Engineering teams to support aligned implementation;
● Define and communicate key dependencies, timelines, and critical updates to enable smooth and coordinated cross-functional collaboration;
● Monitor the quality of strategy execution and proactively identify operational barriers;
● Consolidate and analyze frontline feedback to inform timely parameter adjustments;
● Oversee rollout planning to ensure structured and traceable implementation.
Integration with High-priority Business Initiatives
● Partner with city operations to support the execution of high-priority business initiatives;
● Ensure strategies are localized and effectively integrated into project implementations;
● Align strategy team deliverables with overarching project timelines and execution plans;
● Coordinate cross-functional updates and maintain joint visibility into adjustments;
● Synthesize frontline insights into scalable recommendations.
Foundational Data Infrastructure Support
● Collaborate with data engineering teams to design, develop, and continuously improve dashboards and monitoring tools that support strategy analysis;
● Document key data dependencies and enhance data accessibility and efficiency;
● Maintain calibers for core metrics and facilitate cross-team alignment;
● Support the definition, implementation, and validation of tagging requirements.
任职要求:
Qualifications
● Master's degree in a quantitative or analytical discipline (e.g., Mathematics, Statistics, Computer Science, Data Science, Economics, Operations Research, or Business Analytics);
● Prior internship experience in data analysis, strategy operations, or consulting;
● Strong proficiency in SQL and Python; experience with data visualization (e.g., Tableau, PowerBI) is a plus;
● Familiarity with machine learning, causal inference, and optimization concepts; hands-on experimentation experience preferred;
● Strong business acumen and ability to translate analytical findings into actionable strategic recommendations;
● Proven project coordination skills, including risk management and stakeholder communication;
● Excellent verbal and written communication skills in Mandarin and English;
● Proactive, detail-oriented, and comfortable navigating fast-paced, cross-functional environments.
What You'll Gain
● Exposure to core marketplace mechanisms that shape global ride-hailing dynamics;
● End-to-end experience in strategy design, analysis, implementation, and evaluation;
● Opportunities to influence data-driven decision-making across multiple international markets;
● Collaboration with diverse teams—blending data, business, and technology into impactful marketplace strategies.
🏢 企业简介
总部北京
📍 主要办公地点
投递方式
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🏢 公司文化与工作氛围
- 团队氛围:多名前员工反馈“团队有爱,老板nice,氛围开心”“团队整体氛围很好,大家都会互相帮助,不定期有团建、节日关怀”“领导没有架子,整体来说挺好的”。
- 同事关系:材料多次提到“员工平均年龄都是90后、95后的小哥哥小姐姐非常多”“公司年轻人多,大家都是平等的交流,没有上下级的距离感”“同事之间互帮互助、和谐友好、有问必答不藏私,乐于助人”,办公室有分享蛋糕、零食、水果的习惯。
- 管理风格:前员工称“领导不会每天盯着你在干什么,只要把安排下去的工作做完就好”,属于结果导向型管理。
- 培养与带教:2027届“未来精英”招募材料提及“资深导师1v1带教,与业内技术大咖并肩工作”;普通校招也有“一对一老带新,快速帮助新加入的伙伴熟悉办公环境和工作内容”的描述。
- 注意区分:中有相当部分评价来自滴滴司机或司机业务侧(如“每日流水400-500、时间自由”),这些属于司机岗位体验,不能代表总部产品、技术、运营等校招岗位的实际情况。
⏰ 加班情况与工作强度
可提供的背景信息均来自2021年的第三方报道,且主要描述的是阿里巴巴北京总部(望京A座)的加班情况,并非滴滴专属:该报道提到阿里中心员工每天加班到晚上9、10点,甚至凌晨1、2点下班;同期字节跳动被传实行1075工作制、取消大小周后员工年薪下降近20%。滴滴在这类报道中仅作为网约车平台出现在“司机蹲点拉客”场景中,
因此,滴滴校招岗位的真实加班强度在中没有数据支撑,建议以面试中主动询问部门加班节奏为准。
💰 薪资待遇与年终奖
- (2026年8月):滴滴等多家头部互联网企业开启新一轮校招,“薪资待遇大幅提升”,技术类岗位待遇提升明显。
- (2026年6月):滴滴2027届“未来精英”招募称“极具竞争力的薪资体系,匹配顶尖人才的专属薪酬待遇”“行业领先薪酬福利,优秀人才还有offer直通机会”。
- 、4-2中出现的“每日流水400-500元”“10小时收入流水500-800元”均为滴滴司机的收入,非员工薪资,不可混用。
如需获取真实薪资范围,建议参考OfferShow、脉脉等平台的具体爆料,或通过内部员工内推渠道了解。
🎁 福利体系
- 餐饮:“包晚餐”;办公室楼下有KFC、星巴克、咖啡馆、烤串店等(属办公
📋 校招流程经验
整体节奏:流程效率较高,提前批和正式批通常会在一天内连面 2-3 轮技术面,面完几分钟内出结果,紧接着下一轮。
网申与笔试:提前批部分岗位免笔试,直接面试;正式批通常需要在线笔试(技术岗考算法题和编程)。
技术面:深挖项目经历、手撕代码(LeetCode中等难度为主)、八股文(分布式、缓存、消息队列、系统设计等)。
业务面:侧重场景建模、业务理解(如派单定价策略、红包发放策略等)。
HR面:考察综合素质、职业规划、抗压能力、谈薪等。
泡池子:提前批面试通过后,如果没立刻发offer,会进入“泡池子”阶段,等正式批开始后自动占位,需要耐心等排序。
🚀 投递建议与避坑指南
值得投的岗位:工程类(前后端、客户端)、算法类(策略、调度、大模型)、数据类、机器人类(自动驾驶方向)。这些岗位HC多,且是滴滴的核心技术壁垒。
警惕外包岗:客服、审核、标注等岗位几乎不转正,同工不同酬明显,简历上写这段经历对后续跳槽帮助有限。
问清部门:面试时务必反问面试官所在部门的具体业务、加班情况和团队氛围。国际化部门和核心网约车部门强度差异巨大。
背调严格:滴滴背调非常严,会查 7 年履历、薪资流水甚至社交平台言论,简历务必真实,不要有造假或夸大。
简历加分项:有出行行业相关实习、Kaggle 或顶会论文(算法岗)、对网约车业务模式有深度理解、具备跨部门沟通推动落地的能力。
👥 员工口碑与离职率评价
满意度:两极分化。认可 WLB 和福利的员工觉得性价比不错;但觉得晋升需要长期积累、涨薪慢、业务内耗严重的员工则吐槽较多。
离职率:核心业务线相对稳定,但国际化业务和部分客服/安全岗离职率较高。
晋升艰难:内部晋升成功率和调薪比例都不高,缺乏普调,三五年不涨薪的大有人在。
业务调整:国内网约车业务增长见顶,调整频繁,部分骨干层容易被迭代。
精神内耗:部分岗位考核数据非人为可控,流程繁琐,导致员工每天累到在地铁上睡着,却拿不到好绩效。
📈 热门岗位方向与招聘趋势
招聘趋势:2027届整体就业形势严峻,虽然部分岗位HC较去年有所增加,但核心岗位有限,招满即止。建议尽早投递,不要等。
自动驾驶与智能驾驶:滴滴自动驾驶独立运营,融资能力强,与广汽埃安合作推进 L4 量产,是未来的核心增长点,相关研发岗机会多。
国际化业务:拉美、亚太市场订单增长快,但需要能接受高强度加班和时差。
大模型与AI应用:智能客服、策略算法等方向有相关岗位需求。
薪资趋势:整体薪资涨幅不大,普调仅 3%-5%,只有拿 S 绩效或走“未来精英”人才计划才能拿到有竞争力的薪资。
你目前更倾向于投递滴滴的哪个具体岗位或方向?如果有特定的岗位,我可以帮你再针对性地梳理一下面试准备重点。
ℹ️ 信息来源
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