美团Keeta-效果广告数据分析师（ Performance Marketing Data Analysis Expert）
任职要求
教育背景 1. 本科及以上学历； 2. 统计学、数学、计算机科学等相关专业优先。 工作经验 1. 至少5年以上效果广告数据分析经验； 2. 有海外投放经验优先。 专业技能： 1. 具备扎实的广告投放专业知识，熟练掌握至少一种编程语言； 2. 拥有扎实的数据库知识，能够熟练进行数据查询、清洗和存储、以及数据库的维护； 3. 掌握数据可视化工具，能够制作美观、易懂的数据可视化报表； 4. 熟悉统计分析方法和机器学习算法，并能在实际工作中应用； 5. 熟悉互联网行业，对海外主流效果广告平台（如Google、Facebook、TikTok等）有实操经验。 Educational Background 1. Bachelor’s degree or above. 2. Majors in Statistics, Mathematics, Computer Science, or other related fields are preferred. Work Experience 1. At least 5 years of experience in performance advertising data analysis. 2. Experience in managing overseas ad campaigns is a plus. Professional Skills 1. Solid knowledge of performance advertising and proficiency …
工作职责
数据收集、回传及处理 1. 搭建完善的广告投放数据监测体系，实时收集、整理与分析广告投放数据，包括曝光量、点击量、转化率、成本等关键指标，深入洞察广告投放效果及用户行为路径； 2. 负责接收、回传、整合来自各大广告平台、公司内部业务系统等多渠道的数据，确保数据的完整性与准确性； 3. 对原始数据进行清洗，识别并处理数据中的缺失值、重复值和异常值，为后续分析提供高质量的数据基础； 4. 协助产研部门建立和维护数据仓库或数据库，优化数据存储结构，提高数据查询和调用的效率。 数据分析与挖掘 1. 对广告投放数据进行深度分析，挖掘数据中的潜在规律和趋势，为广告投放策略的优化提供数据支持； 2. 评估不同广告创意、投放策略的效果差异，为决策提供科学依据； 3. 及时发现投放中的低效，以及舞弊的流量，为公司降低损失。 4. 使用数据可视化工具将复杂的数据转化为直观易懂的图表，清晰展示广告投放效果及关键指标的变化趋势。定期撰写详细的数据报告，对广告投放效果进行全面解读，包括各项指标的完成情况、问题分析以及改进建议。 5. 积极协助产研部门优化投放工具和数据基建，提高效果广告的投放效率。 Data Collection, Transmission, and Processing 1. Establish and improve the ad performance monitoring system to collect, organize, and analyze advertising data in real time, including key metrics such as impressions, clicks, conversion rates, and costs, to gain in-depth insights into campaign effectiveness and user behavior paths. 2. Responsible for receiving, transmitting, and integrating data from multiple sources, including major ad platforms and internal business systems, ensuring data integrity and accuracy. 3. Clean raw data by identifying and handling missing values, duplicates, and anomalies to provide a high-quality data foundation for further analysis. 4. Assist product and engineering teams in building and maintaining data warehouses or databases, optimizing data storage structures to improve query and retrieval efficiency. Data Analysis and Mining 1. Conduct in-depth analysis of advertising data to uncover underlying patterns and trends, providing strong data support for optimizing advertising strategies. 2. Evaluate the performance of different ad creatives and delivery strategies to support data-driven decision-making. 3. Identify inefficiencies and fraudulent traffic in ad campaigns in a timely manner to help reduce company losses. 4. Use data visualization tools to transform complex data into clear and intuitive charts, effectively presenting trends and changes in key ad metrics. Regularly compile detailed data reports to comprehensively interpret advertising performance, including metric achievements, issue analysis, and improvement suggestions. 5. Actively support the product and engineering teams in optimizing ad delivery tools and data infrastructure to enhance the efficiency of performance advertising.
1. 营销策划与执行：负责平台站内营销活动/大促的策略输出、创意策划和落地执行，包括但不限于节日节点。根据目标用户群体、营销主题与市场需求，设计站内+站外创意活动方案，提升平台新客获取和老客留存，推动平台交易增长。 2. 跨部门协调与合作：与市场、产品等团队紧密合作，组织跨部门会议，推动活动进展与关键节点的按时落地。 3. 数据分析与优化：跟踪活动的效果，分析流量、转化、补贴等数据，及时优化营销策略。基于数据结果提出优化方案，确保活动持续提升平台效益。 4. 活动Communication：设计传播策略和传播节奏，通过站内渠道和站外媒体推广活动内容，确保物料符合主题氛围并激发用户参与兴趣。 1. Marketing Planning & Execution: Responsible for the strategy, creative planning, and execution of on-platform marketing activities and major promotions, including but not limited to holiday campaigns. Design on-platform and off-platform creative activity plans based on target user groups, marketing themes, and market demand to enhance user acquisition, retention, and drive platform transaction growth. 2. Cross-Department Coordination & Collaboration: Work closely with teams such as Marketing, Product, and others. Organize cross-department meetings to drive the progress of activities and ensure key milestones are met on time. 3. Data Analysis & Optimization: Track and analyze the effectiveness of campaigns, including metrics such as traffic, conversion, and subsidies. Continuously optimize marketing strategies based on data insights and propose improvement plans to ensure sustained platform benefits. 4. Campaign Communication: Design communication strategies and timing for campaign promotion through on-platform channels and external media. Ensure that marketing materials align with the campaign theme and generate user interest and participation.
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
Diagnose and resolve supply-demand imbalances, identify key strategies, validate effectiveness with cross-functional teams, and scale solutions across cities.负责供需失衡场景的问题诊断与拆解，识别可影响的关键策略，联动商分、产研等团队验证策略有效性，并跟进在更多城市的规模复用 Collaborate on cost-effective localized campaign designs, build global efficiency metrics, monitor configurations, and identify underperforming cities.协同产品设计钱效更高且符合各城市运营情况的新活动形式，建设适用于各国的活动效率评价体系，监控各国/城活动配置效率，并定位问题城市提供 Develop systematic surge-order capabilities for merchants/regions, establish quality evaluation frameworks, and optimize experience with minimal scale loss.构建商家及区域维度的系统爆单能力，建设适用于各国的爆单质量评价体系，在最小化规模损失的前提下保障体验最优 Build rider scheduling tools with platform monitoring, design shift strategies for peak hours, and ensure stable delivery performance under timeliness constraints.建设骑手排班可选、平台可监控的产品能力，设计有效排班策略并协同前线落地，对分时段（尤其是压力时段）的体验稳定性负责，以骑手时效指标为约束条件。