美团配送策略数据分析专家 Logistics Supply Operation Data Analyst
任职要求
1.本科及以上,3年及以上工作经验, 目标职级L7及以上,具备配送,骑手管理、运力管理等相关工作经验者优先; 2.能够在工作环境中使用英语进行交流; 3.熟练使用SQL进行数据查询以及ETL调度 等取数流程 4.熟练使用Python or R等数据分析语言, 可以实现:包括 数据清洗、加工、可视化、简单建模 e.g. 回归 等常用分析流程 Bachelor's degree or above, with 3 years or more of work experience, targeting position level L7 or above. Experience in delivery, rider management, Logistic management, and related fields is preferred. Ability to communicate in English in a work environment. Proficient in using SQL for data querying and ETL scheduling processes. Proficient in data analysis languages such as Python or R, capable of performing data cleaning, processing, visualization, and basic modeling (e.g., regression) as part of common analysis workflows.
工作职责
1.为D端配送搭建业务指标以及异动分析的监控体系,保障业务向上发展; 2.负责运力运营的问题根因分析, 最终以改善业务结果为目标, 联动产、研、运形成配套产品功能和策略, 并验证策略有效性; 3.收纳核心造成C端配送时长久的压力因子(e.g. 天气), 搭建压力预测机制, 形成前置补贴策略应对的触发条件, 做前置应对。 4.深入参与到履约业务重点运营项目中,输出有效数据认知。 Reporting to Logistic operation Strategy team leader in Kuwait. Build a monitoring system for business metrics and anomaly analysis for D-end delivery to ensure business growth. Responsible for root cause analysis of delivery man-power operation issues, ultimately aimed at improving business outcomes. Collaborate with product, research & development, and operation team to form supporting product features and strategies, and validate the effectiveness of those strategies. Identify core factors causing delivery overtime problems (e.g., weather), establish a forecasting mechanism, so that our team can implement precautionary measures such as increasing cost per order to the riders. Deeply participate in key rider operation projects related to successful customer delivery fullfillment and provide effective data insights.
1. 基于客户投诉率、客户满意度、骑手服务准时率等核心KPI,完成服务体验数据归因分析,设计并持续优化骑手服务流程。 2. 针对不同商家类型、配送品类与配送场景(高峰期、商圈、住宅区、写字楼)制定标准化SOP,提高标准化流程覆盖率 3. 对接客服团队,收集并分析骑手投诉与差评率,挖掘背后关键影响因素。梳理并开发服务话术、行为规范、礼仪举止等模块化内容,形成可量化、可复制的流程手册。 4. 基于骑手配送准时率、超时率、推单完成率、拒单率等指标,开展多维度数据监控与原因分析,产出专题报告,根据问题归因制定或修改骑手管控策略方案。 5. 针对异常问题场景进行by case分析,对异常案例快速响应,发现根本原因并给出对应的解决方案或处理流程,提升异常场景问题解决准确率并降低异常场景处理时效 6. 分析用户痛点与运营痛点,并制定改善策略,建立流程监控与反馈机制,通过数据分析、客户回访、骑手访谈等方式持续迭代;对异常案例快速响应并推动改进。 7. 跨部门沟通与项目推进,定期评估策略效果,推动跨部门(运营、质检、客服、HR、技术)协作落地,不断迭代优化。 8. 输出可视化看板与决策支持工具,或基于问题场景推动解决方法的产品化,并推动项目执行与资源投入。 1. Conduct service experience data attribution analysis and Design and continuously optimize rider service processes based on core KPIs, including customer complaint rate, customer satisfaction, and rider on-time service rate. 2. Develop standardized SOPs for various merchant types, delivery categories, and scenarios (peak hours, business districts, residential areas, office buildings), and improve the coverage of standardized processes. 3. Coordinate with the customer service team, collect and analyze rider complaints and negative review rates, and uncover key influencing factors behind them. Sort out and develop modular content such as service language, behavior norms, etiquette, etc., to form a quantifiable and replicable process manual. 4. Perform multidimensional data monitoring and root-cause analysis based on rider delivery on-time rate, overtime rate, order-push completion rate, and refusal rate; produce focused analytical reports, develop or modify rider control strategy plans based on problem attribution. 5. Conduct a case-by-case analysis of abnormal problem scenarios, identify the root cause, and provide corresponding solutions or processing procedures to improve the accuracy of abnormal scenario problem-solving and reduce the timeliness of abnormal scenario processing. 6. Analyze user pain points and operational pain points, and develop improvement strategies, establish process monitoring and feedback mechanisms, and continuously iterate through data analysis, customer follow-up, rider interviews, and other methods; Quickly respond to abnormal cases and drive improvement. 7. Cross-departmental communication and project advancement, regular evaluation of strategy effectiveness, promotion of cross-departmental collaboration (operations, customer service, and other collaborative departments) implementation, continuous iteration and optimization. 8. Deliver visual dashboards and decision-support tools or productize solutions based on problem scenarios; advocate for project execution and resource investment.
1、负责前置仓/履约配送/物流/RDC方向的整体商分工作,搭建各模块方向的经营数据分析体系,总结业务规律,发现业务问题,提出解决策略,推进业务问题改善; 2、进行专业模块的市场研究,深入了解行业策略和市场态势,为业务管理者提供行业经验输入; 3、制定各模块的短中长期经营规划、制定目标、设计考核规则,通过目标和考核杠杆确保业务在轨道上快速发展; 4、参与制定前置仓/履约配送/RDC方向的业务运营策略,包括前置仓经营优化、配送履约策略、物流仓网规划、运营优化、定价策略、用工策略等,根据业务不同阶段需求快速调整策略,助力业务快速发展。
1.制定考核策略:制定并优化骑手发薪考核方案,监控考核指标(准时率、准确率等)的合理性,定期考核骑手发薪数据,确保合作商及时准确发放。 2.数据统计与分析:建立骑手发薪数据指标体系,分析骑手收入数据,挖掘影响骑手收入的关键因素,提出改善措施,并定期输出分析报告。 3.数据平台建设:负责骑手收入数据可视化平台,确保数据资源的有效整合与高效利用,提升数据处理效率,并及时进行复盘优化。 4.跨团队协同:为项目提供骑手收入数据,确保项目顺利实施,达成预定目标。 5.其他:完成团队安排的其他临时性工作。
工作职责: 1、负责饿了么物流配送团队绩效考核及荣誉激励方案制定&数据分析,完善周/月维度的预测、监控、分析模型,形成分析复盘报告,为总部绩效激励体系迭提供优化建议,提升各战区自主化考核策略的有效性 2、推动绩效及荣誉激励分析数据产品化,实现绩效分析自动化运行,为管理层及HRG提供决策依据,提升工作效率 3、定期开展绩效及荣誉激励调研,并形成调研报告,跟进相关举措落地改善 4、与总部考核指标业务方、战区建立联动运营机制。建立绩效考核与业务一致性校验模型,对绩效规则及业务策略提供优化建议;培训赋能战区,帮助战区更好理解绩效策略及使用好自主考核权,提升战区绩效表现及考核公平、合理性