阿里巴巴LAZADA-BI(搜索/广告/流量方向)-杭州
社招全职3年以上LAZADA地点:杭州状态:招聘
任职要求
Requirements: 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. Preferred Qualifications: 1. Previous experience in traffic product analysis (e.g. Search, recommendation, Ads). 2. Understanding of traffic product analysis trends and metrics. 3. Proficiency with data visualisation tools (e.g. Tableau, Power BI) and programming/scripting languages (e.g., Python, R) for advanced data analysis. 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。 优先条件 1. 有流量产品分析(如搜索、推荐、广告)的经验。 2. 了解流量产品分析的趋势和指标。 3. 熟练使用数据可视化工具(如Tableau、Power BI)和编程/脚本语言(如Python、R)进行高级数据分析。
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。
包括英文材料
SQL+
https://liaoxuefeng.com/books/sql/introduction/index.html
什么是SQL?简单地说,SQL就是访问和处理关系数据库的计算机标准语言。
https://sqlbolt.com/
Learn SQL with simple, interactive exercises.
https://www.youtube.com/watch?v=p3qvj9hO_Bo
In this video we will cover everything you need to know about SQL in only 60 minutes.
Tableau+
https://help.tableau.com/current/guides/get-started-tutorial/zh-cn/get-started-tutorial-home.htm
了解如何连接到数据、创建数据可视化项、演示您的发现以及与其他人共享您的见解。
https://www.youtube.com/watch?v=K3pXnbniUcM
Spent 2 years creating a 21-hour, high-quality course that covers everything about Tableau.
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文,免费,零起点,完整示例,基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
R+
[英文] R Tutorial
https://www.w3schools.com/r/
R is often used for statistical computing and graphical presentation to analyze and visualize data.
数据科学+
https://roadmap.sh/ai-data-scientist
Step by step roadmap guide to becoming an AI and Data Scientist
学历+
数据分析+
[英文] Data Analyst Roadmap
https://roadmap.sh/data-analyst
Step by step guide to becoming an Data Analyst in 2025
脚本+
[英文] Scripting language
https://en.wikipedia.org/wiki/Scripting_language
https://zhuanlan.zhihu.com/p/571097954
一个脚本通常是解释执行而非编译。脚本语言通常都有简单、易学、易用的特性,目的就是希望能让程序员快速完成程序的编写工作。
Power BI+
[英文] Power BI Tutorial
https://www.tutorialspoint.com/power_bi/index.htm
Power BI is a Data Visualization and Business Intelligence tool that converts data from different data sources to interactive dashboards and BI reports.
https://www.youtube.com/watch?v=FwjaHCVNBWA
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