美团Keeta高阶经营分析专家
任职要求
1.4年以上经营分析经验,具有优秀的问题定位、拆解和分析思路; 2.熟练使用SQL等常用取数和分析软件,掌握常用数据分析和商业分析方法; 3.对数据具有敏锐的洞察和分析能力,具有较好的报告撰写能力; 4.良好的逻辑思维和分析能力,并具有较强沟通协调能力,对业务有好奇心; 5.具备商业分析或市场研究等互联网公司数据分析经验者优先; 具备以下条件优先 1.有O2O经营分析经验优先。 2.可将英语作为工作语言优先。
工作职责
1.深入了解业务,搭建Keeta阿联酋外卖业务团队经营指标体系,通过目标拆解和过程指标体系设定,指引业务方向,保证目标达成; 2.负责追踪业务目标达成进展,通过周期性经营分析定位业务核心问题,并归因 3.理解数据背后的业务本质,挖掘不同业务场景下的数据洞察,发现潜在的问题与机会,为业务决策提供分析支撑; 4.与内外部团队互相合作,整合各方资源,输出关键策略并推动落地;
营销活动策略制定与闭环落地 1. 负责端内活动场景策划(如秒杀频道、领券中心、大促会场),制定主题、目标、玩法策略; 2. 支持商家侧活动策略制定与效果监控,推动站内资源、商户资源与玩法工具高效联动; 3. 全流程负责活动的策划、执行、数据评估与优化 用户增长场景深挖与新增长点探索 1. 通过数据分析洞察细分人群、品类机会、订单场景,结合用户消费路径挖掘潜在增长空间; 2. 打造品类专场、场景型会场(如“夜宵场景”、“下午茶场景”等)以满足多样化消费需求,提升GTV与用户粘性。 营销工具创新与产品推动 1. 探索适配本地消费习惯的新型外卖玩法(如动态满返、分享立减、随机立省等); 2. 推动营销工具(如券包系统、秒杀引擎、权益中心等)在功能和体验上的持续优化; 3. 快速迭代、至少每周更新玩法机制或测试策略组合,结合数据反哺产品侧优化方向 Marketing Campaign Strategy and Full-Cycle Execution 1. Responsible for in-app campaign scenario planning (e.g., flash sale channel, coupon center, mega sale pages), including theme definition, goal setting, and mechanism design. 2. Support merchant-side campaign strategy development and performance monitoring, driving efficient synergy among platform resources, merchant participation, and promotional tools. 3. Own the end-to-end process of campaign planning, execution, performance evaluation, and optimization. User Growth Exploration and New Growth Opportunities 1. Identify segmented user groups, category opportunities, and order scenarios through data analysis; uncover potential growth opportunities along the user consumption journey. 2. Design category-focused and scenario-based campaign pages (e.g., “Late-night cravings,” “Afternoon tea moments”) to fulfill diverse consumer needs and improve GTV and user stickiness. Marketing Tool Innovation and Product Enhancement 1. Explore new food delivery mechanics tailored to local consumer behavior (e.g., dynamic cash back, instant sharing discounts, surprise savings). 2. Drive continuous improvement in marketing tools (e.g., coupon bundle systems, flash sale engines, perks centers) in terms of functionality and user experience. 3. Ensure rapid iteration—update gameplay mechanisms or test strategy combinations at least weekly—and use performance data to feed into product-side optimizations.
1.数据分析:对Keeta投放增长进行数据分析,重点关注用户增长和留存等关键指标,提供数据驱动的洞察和决策建议。 2.指标体系构建:构建和迭代增长指标体系和目标管理机制,开发数据可视化系统,为业务增长提供洞察和分析支持。 3.业务协作:与产品、战略、市场和研发等部门紧密合作,实施项目并提升整体业务表现。 4.决策验证:设计A/B测试和因果推断模型,验证业务优化和决策结论,提供高效的分析方法。 5.异动归因分析:分解和诊断业务增长的驱动因素,调查数据异常,并开发自动归因工具。 6.工具与方法开发:总结和提炼增长分析方法论,开发数据效率工具。
1、Design multi-objective optimization strategies adapting to business phases (e.g., prioritizing fulfillment experience with cost constraints in early stages) to enhance rider efficiency and maintain SLA competitiveness.根据不同业务发展阶段进行多目标优化设计,如初期以履约体验为核心目标、成本为约束条件,持续提升骑手工作效率与保证SLA具备市场竞争力 2、Lead Middle East fulfillment solutions by developing country-specific strategies based on local SLAs, validating through experiments, and scaling successful models across regions.主导中东地区履约解决方案设计,针对不同国家市场环境及SLA需求制定差异化策略,通过实验设计验证方案有效性,关注标准 化能力建设,推动成功模式跨区域推广 3、Manage timeliness metrics including rider assessment systems and load balancing, designing incentive rules to ensure cost-effective, user-perceivable delivery performance.负责时效类指标管理,包括骑手考核体系搭建与负载均衡优化,重点设计时效考核奖惩规则以确保成本约束下时效类指标具备市场竞争力,且用户有感知 4、Optimize rider app interactions by translating complex strategies into actionable guidance, reducing cognitive load through intuitive interfaces.设计骑手端交互展示策略,将复杂策略指令转化为骑手执行的行为指引,通过App界面优化持续降低骑手理解成本与操作门槛