滴滴Grocery BP-数据分析实习生

Grocery Catalog management senior analyst 国际化外卖商品管理和运营 工作地点北京 岗位职责： 1.在海外外卖业务中，负责构建并持续优化商品品类结构，提升用户在端内的购物效率； 2负责建立、管理和维护全套的商品目录，确保其准确性和完整性，为用户提供丰富的商品供给； 3. 深度参与商品管理相关的产品相关项目，不断推动商品库的管理与优化，开展行业研究并提供本地化洞察； 4. 与商务、运营及市场团队紧密合作，关注商品目录更新的季节性和及时性，持续提升商品目录的加购转化效率； 5. 有市场和竞品分析或商品运营的产品需求收集和分析经验，关注细节和商品运营全流程的管理和效率提升，提高业绩，助力达成业务既定目标。

负责 Keeta 闪购业务零售全品类的战略规划与落地，基于科威特本地零售市场洞察，搭建品类增长框架，制定品类扩展节奏与优先级 Responsible for the strategic planning and execution of Keeta's flash sale business across all retail categories, leveraging insights from Kuwait's local retail market to establish a category growth framework and define the rhythm and priorities for category expansion 主导新商家签约定价体系从0到1的搭建，包括定价模型设计、市场价格监控、品类毛利结构优化，确保商业化能力与商家吸引力 Led the end-to-end setup of a new merchant onboarding pricing system, including pricing model design, competitor price monitoring, and optimization of category gross margin structures, ensuring commercial capabilities and merchant appeal 制定品类补贴策略，通过数据分析平衡用户增长、商家留存与经营效率，输出每周/月度经营分析报告并驱动策略迭代 Develop category allowance strategies to balance user growth, merchant retention, and operational efficiency through data analysis. Output weekly/monthly business performance reports and drive strategy iteration. 协同运营与前线团队制定绩效方案，拆解品类目标至个人/小组维度，建立数据驱动的绩效考核与激励机制 Collaborate with operations and frontline teams to develop performance plans, break down category goals into individual/team dimensions, and establish data-driven performance evaluation and incentive mechanisms. 持续跟踪品类关键指标（GMV、订单量、访购率、转化率等），识别增长机会与异常，输出可执行的策略建议并推动落地 Continuously track key category metrics (GMV, order volume, Visit-to-Purchase Rate, Recruitment Funnel, etc.), identify growth opportunities and anomalies, output actionable strategy recommendations and drive implementation

负责闪购业务用户端、商家端、履约端及 Picker 端全链路产品的业务策略制定与落地推进，统筹各端产品需求优先级，推动从需求定义到上线交付的全流程闭环 Responsible for the business strategy formulation and implementation of end-to-end products for grocery users side, merchants side, delivery side and Picker side Coordinate the priority of product requirements across all ends and drive a full-cycle process from requirement definition to上线 delivery. 主导品类库与商品库从0到1的搭建，设计商品信息标准化体系与数据模型，建立商品全生命周期管理流程，确保品类架构可扩展、数据质量可控 Led the从零到1 construction of category库 and item库, designed the standardized system for item information and data models, established a lifecycle management process for items, ensuring scalable category architecture and controllable data quality. 深入理解技术架构与系统能力，能独立与技术团队进行方案评审与技术可行性评估，推动业务需求高效落地，必要时能参与产品原型设计与技术方案对齐 Deeply understand the technical architecture and system capabilities, independently conduct solution reviews and technical feasibility assessments with technical teams, drive efficient implementation of business requirements, and participate in product prototype design and technical alignment when necessary. 基于业务数据驱动产品迭代决策，建立核心业务指标监控体系，通过数据分析定位产品与运营瓶颈，输出产品优化方案并推动跨团队协作落地 Leverage business data to drive product iteration decisions, establish core business metric monitoring systems, identify product and operational bottlenecks through data analysis, generate product optimization proposals, and facilitate cross-team collaboration for implementation. 搭建业务运营标准与 SOP，沉淀可复用的产品运营方法论，从0到1建立团队协同机制，支持业务规模化复制 Establish business operation standards and SOPs, consolidate reusable product operational methodologies, build team collaboration mechanisms from scratch to support business scale

负责闪购业务履约全流程体验管理，覆盖从用户下单→商家接单→商品拣选（Picker）→打包→配送→送达→售后全链路，建立各环节的体验指标监控体系并推动持续优化 Responsible for the overall experience management of grocery fulfillment, covering the entire process from user ordering → merchant accepting order → item picking (Picker) → packaging → delivery → delivery confirmation → after-sales service, establishing an experience metric monitoring system for each link and driving continuous optimization 负责 Picker 定价策略的制定与优化，基于履约成本、市场、商家需求等多维因素，建立科学的定价模型并持续迭代 Responsible for formulating and optimizing Picker pricing strategies, based on multi-dimensional factors such as fulfillment costs, market competition, and merchant demands, to establish a scientific pricing model and continuously iterate 搭建 Picker 培训与考核体系，包括培训内容设计、考核标准制定、绩效评估与激励机制，提升履约团队专业能力与服务质量；组织巡店管理，定期深入一线商户，识别履约流程中的问题并推动优化 Establish a Picker training and assessment system, including training content design, assessment criteria formulation, performance evaluation and incentive mechanisms, to enhance the professional capabilities and service quality of the fulfillment team; organize store inspections, regularly visit frontline merchants, identify issues in the fulfillment process and drive optimization 建立并持续优化履约全链路核心指标监控体系，包括但不限于：订单取消率、准时率、缺货率、完单率、退款率、用户/商家满意度、投诉率等，快速定位异常并推动闭环解决 Establish and continuously optimize the core KPI monitoring system for fulfillment end-to-end process, including but not limited to: order cancellation rate, on-time rate, stock-out rate, completion rate, refund rate, user/merchant satisfaction, complaint rate, etc., quickly locate anomalies and drive closed-loop solutions 重点协同客服部门与配送部门，建立跨部门协同机制：对接客服团队推动客诉问题分类与根因分析，协同配送团队优化配送时效与履约效率，确保端到端的用户体验达标 Collaboratevwith Customer Service and Delivery Departments to establish cross-departmental mechanisms: interface with customer service teams to drive issue classification and root cause analysis, collaborate with delivery teams to optimize delivery timeliness and fulfillment efficiency, ensuring end-to-end user experience standards are met.