1. ETL of various data within the company
2. Use crawler technology to obtain external data
3. Create reports and dashboards on BI tools
4. Understand the company's needs, conduct data analysis, and provide the company with suggested implementation strategies
5. Collaborate with members to produce systematic service functions

1. Be familiar with Python and be able to perform ETL on data from different sources.
2. Be familiar with SQL including DDL and DML, be able to JOIN multiple data tables, and be able to create and plan data tables and their fields.
3. Python and SQL can be combined to produce data reports in Excel format.
4. Experience in communicating and discussing with cross-departments, data connection, and data analysis needs
5. Familiar with Internet data interception (crawlers)
6. Use Git for version control

Bonus points:
Familiar with Airflow and Metabase
Familiarity with containerization services such as Docker

学历：不拘
科系：不拘
年資：3年以上工作经验
管理责任：不需负担管理责任
出差外派：无需出差外派

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