携程Senior Business Analyst(MJ035717)
社招全职3年以上国际业务项目/流程/数据地点:上海状态:招聘
任职要求
任职要求(必备条件) 1. 学历专业:本科及以上学历,统计学、数学、经济学、计算机、信息管理、大数据等相关专业优先; 2. SQL能力:SQL功底扎实,可独立编写复杂多表关联、窗口函数、CTE语法,具备SQL语句性能优化能力;拥有Hive/Spark SQL、BigQuery、Redshift任意一类大数据查询实操经验; 3. 数理能力:数理统计基础扎实,熟练掌握假设检验、回归分析、置信区间、显著性检验、基础因果推断知识,可独立研判统计结果,规避样本偏差、归因错误等分析常见误区; 4. 建模工具:熟练使用Python数据分析生态工具,精通Pandas、NumPy数据处理,掌握Scikit-learn工具库,可独立完成分类、聚类、业务预测类基础建模工作; 5. AI能力:具备AI数据分析提效落地经验,可使用AI辅助代码开发、数据…
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工作职责
1. 负责海外OTA平台、跨境SEM广告渠道全链路数据分析,拆解CPC/CPA/ROAS、转化归因、渠道成本等核心指标,输出日报/周报/月度投放分析报告,定位投放损耗、流量异常问题; 2. 依托SQL/Hive/Spark SQL开展业务数据提取、多表关联数据清洗、复杂数据建模,优化查询语句,提升大数据取数效率,对接数仓完成业务口径对齐; 3. 运用数理统计、机器学习工具完成用户分层、流量聚类、转化预测、渠道价值建模,通过假设检验、显著性分析、因果分析验证投放策略有效性,规避数据分析偏差; 4. 联动投放运营,基于数据结论优化SEM投放策略、渠道配比、人群出价方案,落地渠道优化、预算调优方案,助力投放ROAS提升; 5. 对接海外业务团队,同步海外投放规则、平台数据口径,搭建渠道数据看板,沉淀投放分析方法论; 6. 参与业务A/B实验设计、效果复盘,配合完成营销模型测算、渠道增量价值评估,沉淀行业渠道分析数据资产。
包括英文材料
学历+
大数据+
https://www.youtube.com/watch?v=bAyrObl7TYE
https://www.youtube.com/watch?v=H4bf_uuMC-g
With all this talk of Big Data, we got Rebecca Tickle to explain just what makes data into Big Data.
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.
Hive+
[英文] Hive Tutorial
https://www.tutorialspoint.com/hive/index.htm
Hive is a data warehouse infrastructure tool to process structured data in Hadoop. It resides on top of Hadoop to summarize Big Data, and makes querying and analyzing easy.
https://www.youtube.com/watch?v=D4HqQ8-Ja9Y
Spark+
[英文] Learning Spark Book
https://pages.databricks.com/rs/094-YMS-629/images/LearningSpark2.0.pdf
This new edition has been updated to reflect Apache Spark’s evolution through Spark 2.x and Spark 3.0, including its expanded ecosystem of built-in and external data sources, machine learning, and streaming technologies with which Spark is tightly integrated.
BigQuery+
[英文] BigQuery Tutorial
https://www.tutorialspoint.com/bigquery/index.htm
Mastering the GCP tools, especially SQL engines like BigQuery, is critical when it comes to beginning or progressing in a data-oriented career.
Redshift+
https://aws.amazon.com/awstv/watch/d67f8f62aca/
This video demonstrates how to quickly set up an Amazon Redshift data warehouse and analyze data using Query Editor v2.
https://aws.amazon.com/redshift/getting-started/
Find resources to get started with Amazon Redshift, a cloud data warehouse.
因果推断+
https://web.stanford.edu/~swager/causal_inf_book.pdf
How best to understand and characterize causality is an age-old question in philosophy.
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