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
工作描述
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、数据复盘、业务报告产出，面试可清…
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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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