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 independently on multiple high-priority initiatives, managing time effectively to meet deadlines. 6. Strong problem-solving skills with the ability to think critically and offer innovative solutions. 7. A demonstrated deep passion for the E-commerce and tech industry. 1. 数据科学、商业分析、统计学、计算机科学、定量研究或相关领域的学士学位。 2. 至少3年数据分析、商业分析、咨询、或相关领域的工作经验。 3. 熟练掌握SQL，具备创建、维护、更新和设计复杂查询query的能力。 4. 出色的中英文沟通能力。 5. 能够在多个高优先级项目上独立工作，有效管理时间以按时完成任务。 6. 强大解决问题的能力，具备批判性思维和提供创新解决方案的能力。 7. 对电商和科技行业有深厚的热情。
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。
Position Overview Focus on end-to-end management of business operations data, leading the cleansing and alignment of multi-source business data (user behavior, product metrics, channel effectiveness, etc.) with financial data to build a structured foundational data system. Provide quantitative support for operational strategy optimization through in-depth analysis of business actions and data characteristics. Core Responsibilities Business-Finance Data Integration & Cleansing ꔷ Develop standardized rules for business data, perform cross-system data cleansing (e.g., user growth, order transactions), mapping, and structured storage. ꔷ Design business data flow diagrams, establish unified naming conventions and operational standards to enable efficient data retrieval. Business Analysis Support ꔷ Build data analysis models (e.g., ROI, user segmentation/persona) aligned with business objectives, and deliver actionable insights for operational strategy improvement. ꔷ Monitor core business metrics (e.g., conversion rate, retention rate), and produce periodic root-cause analysis reports on data fluctuations. Cross-Department Collaboration ꔷ Collaborate with finance teams to calibrate business data, translating operational actions (e.g., promotions) into quantifiable revenue/cost impacts. ꔷ Partner with product and marketing teams to design data tracking solutions, ensuring comprehensive data collection.
• Collect, clean, and maintain user data from various sources including marketing platforms, mobile app, web analytics etc. • Define and implement the BI strategy and roadmap, translating business requirements into scalable analytics solutions. • Be the expert in using data to measure and analyze business performance in each our markets and lines of business. • Collaborate with product managers, marketing teams, and other stakeholders to identify areas of opportunity for improving user growth and engagement. • Lead new data analytics capability rollouts and/or data-led initiatives throughout Arise Project. • Analyze user behavior data to identify trends, patterns, and insights that can be used to improve user engagement, retention and acquisition. • Design market/business intelligence reports and performance measurement dashboards to share with senior management • Perform ad-hoc business analysis, to drill down on certain business challenges, providing conclusions and advice based on data analysis. • Monitor and evaluate the effectiveness of user growth initiatives and make recommendations for optimization and improvement.
阿里巴巴国际数字商业 (AIDC) 商业智能部招聘 公司&部门介绍 阿里国际数字商业集团（AIDC），是阿里巴巴集团的核心且快速增长的业务。 契合国家“一带一路”的战略方向，在国际化的大蓝海赛道上高速驰骋，连续多年收入增长在30%以上。旗下业务覆盖近200个国家、市场，服务于4亿的全球消费者，囊括跨境电商、本地电商、B2B、O2O零售、供应链网络等多元化的业务形态，在全球近30个国家与地区设置办公地点，拥有超过20种不同国籍的员工。 商业智能部是AIDC的商业分析与决策支持部门，我们依托于AIDC的全球化大数据以及阿里多年的商业分析经验沉淀，拥有来自于互联网、咨询、投资、传统行业等多元化背景的团队，产生多视角、全方位的立体洞察，支持集团以及各事业部与职能部门管理者的关键决策。 我们深入业务，通过有智慧的数据洞察， 紧密结合的业务场景，实现从宏观市场到微观战术的商业分析与判断，为决策层提供关键数据洞察、核心策略参考、支持主要的各项决策制定与优化，达到数据驱动业务的完美实践。 Team and Role Introduction: Working under AIDC BI family, this role is BI analyst supporting E-commerce Platform Miravia. Responsibilities: Key tasks and responsibilities: • Collect, clean, and maintain user data from various sources including marketing platforms, mobile app, web analytics etc. • Be the expert in using data to measure and analyze business performance in each our markets and lines of business. • Collaborate with product managers, marketing teams, and other stakeholders to identify areas of opportunity for improving user growth and engagement. • Lead new data analytics capability rollouts and/or data-led initiatives throughout Arise Project • Analyze user behavior data to identify trends, patterns, and insights that can be used to improve user engagement, retention and acquisition. • Design market/business intelligence reports and performance measurement dashboards to share with senior management• Perform ad-hoc business analysis, to drill down on certain business challenges, providing conclusions and advice based on data analysis. • Monitor and evaluate the effectiveness of user growth initiatives and make recommendations for optimization and improvement.
岗位职责： ● 负责核心业务指标体系的构建与维护，通过日常数据监控与异常排查，及时发现并诊断业务健康度，输出日报、周报等数据看板，为业务部门提供高效的数据支持 ● 深入理解用户行为、商业模式与业务流程，主动开展专项分析，如版本迭代、用户行为、增长策略、商业化变现等，找出用户行为规律，并输出高质量的分析洞察与 actionable 的优化建议，为产品和运营决策提供引导 ● 独立负责或协同产品、运营、算法团队，进行A/B实验的设计、数据分析与结果评估，为产品功能、运营策略和算法优化提供数据支撑 ● 负责业务数据埋点需求的梳理、评审及验收，确保数据采集的准确性、完整性与规范性，为后续分析工作提供高质量数据基础