招商银行数据分析岗
社招全职3年以上信息技术类地点:东莞状态:招聘♡ 收藏
工作描述
截止时间:2026-12-31 岗位职责 1.负责数据平台相关模块的设计与开发,包括数据采集、清洗加工、ETL 流程构建及数据接口封装,保障数据链路稳定、高效、可追溯; 2.搭建和维护业务指标体系与数据仓库口径,负责数仓分层模型设计与数据表建设,确保"数出同源"、口径统一; 3.开发自动化报表与可视化看板,对各条线经营数据进行日常监控与异常波动跟踪,为管理层提供及时、可靠的数据支撑; 4.结合业务场景开展专题数据分析,独立完成数据挖掘与统计建模任务,反向定位经营问题、输出可落地的改进建议; 5.围绕大数据平台资源与调度能力进行性能调优,优化 SQL 与 ETL 任务执行效率,保障数据加工按时、按…
登录查看完整工作描述
微信扫码,1秒登录
包括英文材料
ETL+
https://www.ibm.com/think/topics/etl
ETL—meaning extract, transform, load—is a data integration process that combines, cleans and organizes data from multiple sources into a single, consistent data set for storage in a data warehouse, data lake or other target system.
https://www.youtube.com/watch?v=OW5OgsLpDCQ
It explains what ETL is and what it can do for you to improve your data analysis and productivity.
数据仓库+
https://www.youtube.com/watch?v=9GVqKuTVANE
From Zero to Data Warehouse Hero: A Full SQL Project Walkthrough and Real Industry Experience!
https://www.youtube.com/watch?v=k4tK2ttdSDg
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
数据挖掘+
https://www.youtube.com/watch?v=-bSkREem8dM
Database vs Data Warehouse vs Data Lake
https://www.youtube.com/watch?v=7rs0i-9nOjo
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.
性能调优+
https://goperf.dev/
The Go App Optimization Guide is a series of in-depth, technical articles for developers who want to get more performance out of their Go code without relying on guesswork or cargo cult patterns.
https://web.dev/learn/performance
This course is designed for those new to web performance, a vital aspect of the user experience.
https://www.ibm.com/think/insights/application-performance-optimization
Application performance is not just a simple concern for most organizations; it’s a critical factor in their business’s success.
https://www.oreilly.com/library/view/optimizing-java/9781492039259/
Performance tuning is an experimental science, but that doesn’t mean engineers should resort to guesswork and folklore to get the job done.
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.
数据治理+
https://www.ibm.com/think/topics/data-governance
Data governance is the data management discipline that focuses on the quality, security and availability of an organization’s data.
https://www.youtube.com/watch?v=uPsUjKLHLAg
Building data fabric eliminates the technological complexities of data governance so users can connect to the right data at the right time, regardless of where it resides.
学历+
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.
Pandas+
[英文] 10 minutes to pandas
https://pandas.pydata.org/docs/user_guide/10min.html
This is a short introduction to pandas, geared mainly for new users.
[英文] Cookbook - pandas
https://pandas.pydata.org/docs/user_guide/cookbook.html#cookbook
This is a repository for short and sweet examples and links for useful pandas recipes.
https://www.kaggle.com/learn/pandas
Solve short hands-on challenges to perfect your data manipulation skills.
https://www.youtube.com/watch?v=2uvysYbKdjM
I'm super excited for this one. We're doing another complete Python Pandas tutorial walkthrough.
https://www.youtube.com/watch?v=Mdq1WWSdUtw
Filtering, Joins, Indexing, Data Cleaning, Visualizations
还有更多 •••
相关职位
社招2年以上总行数据经营与管
岗位职责 负责数据主题集市数据应用服务的研发,通过数据整合指标提炼和服务共享,有效提升数据分析效能;负责数据标签、数据模型和数据算法研发,有效推动标签模型和算法在数据分析过程中的运用,赋能数字化营销管
更新于 2025-09-11上海

社招2年以上保险类
1、统计学、数学、计算机、经济学等相关专业本科及以上 2、2年以上数据分析/数据科学相关经验 3、精通SQL,熟悉Hive/Spark等大数据平台 4、熟练使用Python(pandas/numpy/
更新于 2026-08-12深圳

社招2年以上金融类
1.本科及以上学历,统计、数学、计算机、工商管理等专业优先。 2.拥有数据分析领域2年或以上的实际工作经验, 有金融和互联网行业经验优先。 3.具有良好的数据敏感度,能够从海量数据提炼核心洞察,识别商
更新于 2026-08-03深圳