小红书商业化行业solution

Team and Role Introduction The Assortment, Content & Ads Governance Team (ACAG team) is part of the Lazada’s Risk and Security. It is charged with the mission of developing a comprehensive strategy for Lazada regarding assortment and content to foster a healthy and safe e-commerce environment for our eCommerce ecosystem. 商品分类、内容及广告治理团队（ACAG团队）隶属于Lazada风险与安全部门，其核心使命是为Lazada制定全面的商品分类与内容治理战略，以维护电商生态系统的健康与安全环境。 The role is responsible for the development and execution of strategic initiatives aimed at ensuring our platform's stipulated policies, particularly in assortment compliance and governance, brand governance, are not abused by platform users. You will have access to analytical tools to develop and implement strategies and solutions using data-driven methodologies to reduce inefficient traffic and money allocation by governing assortments with traffic scams, quality issues, regulatory compliance issues, and brand Intellectual Property (IP) rights infringement. 该职位负责制定与执行战略举措，确保平台政策（尤其是商品合规治理、品牌治理相关规则）不被用户滥用。您将利用数据分析工具，通过数据驱动方法开发策略与解决方案，治理涉及流量欺诈、商品质量问题、合规风险及品牌知识产权侵权的商品分类问题，从而减少低效流量与资金分配。 Responsibilities Develop a deep understanding of the eCommerce customer and seller journey, including registration and onboarding, product listing, order placement, payment, user interactions, returns and refunds, user reports and feedback, etc. Develop subject matter expertise on eCommerce platform operation and governance, where rules, strategies, and enforcements are effectively established to ensure users are compliant with platform policies. Lead cross-functional efforts to enhance platform policies and operational mechanisms, fostering a collaborative environment to support ongoing strategy refinement. Work with large data sets to analyze patterns, trends, and modus operandi of platform operation and governance issues (as well as merchants who perpetrate these issues). Make data-driven recommendations on prioritization of controls for platform governance and product compliance. Collaborate with PD, Tech, and Algo counterparts to build machine learning models and rules to detect assortment and user related operation and governance issues on the platform. Operate the risk engine, including the creation and continuous evaluation of rules to prevent and detect platform operation and governance issues. Capture and communicate findings with internal and external stakeholders through dashboards, periodic reports, and presentations. 岗位职责 1/ 深度洞察电商客户与卖家的全流程体验，涵盖注册入驻、商品上架、订单生成、支付、用户互动、退货退款、用户反馈等环节。 2/ 建立电商平台运营与治理领域的专业知识体系，确保规则、策略及执行机制有效落地，推动用户遵守平台政策。 3/ 主导跨职能协作，持续完善平台政策与运营机制，营造协作环境以支持策略迭代。 4/ 基于海量数据集分析平台运营与治理问题的模式、趋势及商家违规手法。 5/ 通过数据分析提出平台治理与商品合规的管控优先级建议。 6/ 协同产品（PD）、技术（Tech）及算法（Algo）团队，构建机器学习模型与规则，检测平台商品分类及用户相关的运营治理问题。 7/ 负责风险引擎的日常运营，包括规则创建与持续评估，以预防和识别平台治理漏洞。 8/ 通过仪表盘、定期报告及演示汇报，向内外部利益相关方清晰传递分析结论与治理成果。

1) Conduct comprehensive business insights analysis covering user behaviour, trend extraction, data interpretation, and insights generation in Search products. 2) Design and execute analysis to uncover insights critical for key business decisions. 3) Develop and maintain data frameworks, pipelines, and dashboards to identify and mitigate risks, as well as to capitalise on opportunities. 4) Collaborate with cross-functional teams to understand requirements, provide actionable insights, and drive continuous improvements in Search products. 5) Present findings and recommendations to stakeholders in a clear and compelling manner. 1. 进行全面的商业洞察分析，涵盖搜索产品中的用户行为分析、趋势分析、数据解读和洞察生成。 2. 设计和执行分析，揭示对关键业务决策至关重要的洞察。 3. 开发和维护数据框架、数据管道和报表，方便业务团队日常看数，及时发现机会点和风险点。 4. 与跨职能团队合作，了解需求，提供可操作的洞察建议，并推动搜索产品的持续改进。 5. 以清晰、有说服力的方式向决策层汇报分析结果，提供建议。

关于我们： 我们是一支全球化、多元化、专业化的数据先锋团队，以技术为引擎，以数据为纽带，驱动全球20亿消费者与数千万商家的数字化商业生态。立足中国，服务全球，每天处理覆盖东南亚、欧洲、美洲等多时区的跨境数据洪流，在多语言、多文化、多法规的复杂场景中，打造“数据&AI技术驱动业务”的全球化数据中台。 团队致力于构建全新的满足安全合规的国际化大数据架构体系；统一的用户/商品/商家资产体系建设，含统一的DMP和选品平台；面向海外商家数据服务的生意参谋及数据银行支撑业务全链路数据驱动闭环，打造从站外竞对机会发现到商品供给和用户增长的数据智能服务Agent平台。我们秉承简单开放、创新能力、匠心精神的团队文化； 职位描述 Job Description 1. 深入理解行业业务逻辑与用户生命周期，通过用户行为分析、消费心理建模、多源数据融合，诊断业务增长瓶颈，设计可落地的用户价值提升策略（如会员分层运营、场景化精准触达、流失用户挽回等）。 2. 主导端到端增长项目：独立完成从业务需求拆解->实验设计->用户特征工程->预测模型开发（如客户分群/LTV/传播裂变因子挖掘）->策略效果归因的全流程。 3. 搭建业务分析框架：结合行业特性（如电商高频转化、内容平台沉浸度驱动、金融行业信用风险维度），设计可解释的用户标签体系与归因模型，输出用户洞察报告指导产品迭代与运营策略。 4. 与搜索推荐、产品、运营团队紧密协作，推动增长实验、A/B测试落地，结合AI模型结果，持续优化产品与内容分发策略。 5. 支撑用户增长策略的算法能力沉淀与平台化建设，推动AI在个性化推荐、多模态建模、用户行为预测等方向的深度应用。 1. Drive business growth strategies through deep user analytics and lifecycle value modeling, focusing on solving real-world problems like member tier operation, scenario-based engagement, and churn recovery. 2. Own full-cycle projects from business diagnosis to deployment: 3. Develop industry-specific frameworks: Design interpretable user tagging systems and attribution models tailored to sector characteristics (e-commerce conversion loops, content engagement drivers, etc.) 4. Collaborate closely with Search & Recommendation, Product, and Operations teams to run growth experiments and optimize strategies based on AI insights. 5.Contribute to platform-level capability building for scalable, AI-powered growth solutions across personalization, multi-modal modeling, and user behavior prediction.

1. 负责海外收单和支付业务的大客户技术支持（TAM）工作，维护与客户的关系链，处理客户日常技术咨询。具备独立进行技术问题排查与分析的能力，能够提供符合客户需求的技术服务解决方案。 2. 建立客户、业务、产品以及研发的快速响应通道，反馈并推动现有商户门户及内部平台的建设与优化，包括但不限于监控体系和商户画像等。能够提前发现问题或通过类比推理，提升服务的效率与质量，增强客户的满意度。 3. 梳理产品投诉及用户体验问题，进行归纳分析，形成产品与技术改进建议，并推动优化的实施。能够针对特定问题进行专项建设，系统化地解决业务痛点，例如提升支付成功率和缩短支付耗时。 4. 结合大客户支持工作的积累，探索技术服务的商业化创新途径。 1. Responsible for providing technical support (TAM) for KA clients in overseas acquiring and payment business, maintaining relationships with clients, and handling daily technical inquiries. Possess the ability to independently troubleshoot and analyze technical issues, and provide tailored technical solutions. 2. Establish a rapid response channel among clients, business, products, and developer, and provide feedback to promote the construction and optimization of existing merchant portals and internal platforms, including but not limited to monitoring systems and merchant profiles. Capable of proactively identifying issues or using analogy reasoning to enhance the efficiency and quality of services, thereby improving client satisfaction. 3. Compile product complaints and user experience issues, conduct summarization and analysis, generate product and technical improvement suggestions, and drive the implementation of optimizations. Able to undertake specialized initiatives to systematically address business pain points, such as improving payment success rates and reducing payment processing times. 4. Explore innovative commercial avenues for technical services based on the accumulated experience from KA client support work.