阿里巴巴LAZADA-User Growth / Product Analysis BI-Hangzhou
任职要求
1. Bachelor's degree in Data Science, Business Analytics, Statistics, Computer Science, Quantitative Research, or a related field.
2. Minimum of 3 years of experience in data analysis, data insights, or business intelligence.
3. Advanced proficiency in SQL, with strong capability to create, maintain, update, and design complex queries.
4. Exceptional written, verbal, and professional communication skills in both English and Chinese.
5. Proven ability to work independe…工作职责
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。
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.
JD资深前端工程师（云平台团队） 1、负责云平台业务系统的前端开发与维护，持续优化性能与用户体验； 2、与设计、后端、产品等团队协作，推动需求的技术方案落地； 3、过往有大型项目经验，优化开发流程和团队效率； 4、推动前端工程化标准建设，提升代码质量与交付效率； 5、参与复杂用户界面和交互设计的实现，确保设计高度还原。
1. Plan and execute various platform level promotions: include big promotion such as Black Friday or seasonal rebajas, to drive platform level uplift and make the sales reach to new height, and several monthly campaigns which serve different objectives: increase seasonal sub-categories, boost re-purchase rate, assist incubation, drive top brands or top assortment 2. Think from both seller and buyer points of view. 3. Leverage analytical data to point out the critical factors or measurable metrics to enhance promotion performance, improve SOP or raise new promotional initiatives. 4. Work with Product and User Experience Design team to identify improvement areas that can largely improve business results and better user experience.
1. 负责Lazada平台客服产品运营，对平台客服的整体业务目标负责，持续优化服务能力与用户体验，降低平台成本。 2. 洞察东南亚用户特点，结合国家策略，通过深入的数据分析挖掘本地化需求，推进客服流程改善以及体验提升； 3. 能协同业务运营、技术、设计等多部门，完成产品运营策略的发起、落地与上线后的数据分析与迭代。 1. Lead product operations for Lazada's customer care service, driving business objectives by optimizing service capabilities, enhancing user experience, and reducing costs. 2. Identify localized needs through data analysis and market insights across Southeast Asia. Improve customer care service processes aligned with regional strategies. 3. Collaborate with cross-functional teams (business operations, tech, design) to initiate, implement, and iteratively optimize product strategies through post-launch performance analysis.