[Skip to main content](#main-content)

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All Ping An Insurance Group jobs](https://jobs.opennash.com/companies/ping-an-insurance/) · [Search jobs](/search/)

Ping An Insurance Group · 西安市

# 西安分行基础零售部线上运营岗

西安市 

Listed on Ping An Insurance Group’s official careers site. Posted August 20, 2026. Check that it is still open and apply there.
[Apply on Ping An Insurance Group’s careers site →](https://talent.pingan.com/recruit/position.html?positionId=FC860A1DC150431087A1FDB290BAA517)

[OpenNash Jobs](https://jobs.opennash.com/) / [Ping An Insurance Group](https://jobs.opennash.com/companies/ping-an-insurance/) / 西安分行基础零售部线上运营岗

## Job description

岗位职责
- 负责银行零售业务全流程的数据分析工作，通过数据洞察支撑业务决策。
- 深入理解业务需求，独立完成报表、数据类系统的设计与开发。
- 对接各业务部门，负责需求沟通、承接与落地实施，全面提升分行数字化水平。
- 完成分行及上级交办的其他相关工作。 任职资格
- 本科及以上学历，计算机、统计学、数学等相关专业。
- 熟练掌握SQL语言，具备3年及以上数据开发或数据分析相关工作经验。
- 精通Oracle、MySQL等至少一种关系型数据库，熟悉Hive、Spark等主流大数据技术栈。
- 具备扎实的数据分析能力，熟练运用常用数理统计方法；掌握机器学习、深度学习方法者优先。
- 熟悉银行业务逻辑与数据体系，有银行从业经验者优先。
- 具备高度责任心与执行力，良好的团队协作意识、沟通协调能力，以及优秀的学习能力与逻辑分析能力。

## At a glance
- Posted by the employer: Aug 20, 2026
- First seen by OpenNash: Oct 20, 2026
- Last checked: Oct 20, 2026
- Listed for: 61 days
- Location: 西安市[Apply on Ping An Insurance Group’s careers site →](https://talent.pingan.com/recruit/position.html?positionId=FC860A1DC150431087A1FDB290BAA517)

## More jobs at Ping An Insurance Group

### [05419S-商务拓展经理](https://jobs.opennash.com/companies/ping-an-insurance/jobs/147072362640def262d4/)

西安市

### [2M客户经理——陕西](https://jobs.opennash.com/companies/ping-an-insurance/jobs/4b8ff300236e1ab4b9b0/)

西安市

### [AI训练岗](https://jobs.opennash.com/companies/ping-an-insurance/jobs/9f0d083bf292096b5ffb/)

西安市

### [M1风险资产管理专员](https://jobs.opennash.com/companies/ping-an-insurance/jobs/f625e7dde6511dd6b13e/)

西安市

### [业务拓展经理](https://jobs.opennash.com/companies/ping-an-insurance/jobs/349405681246f68cee69/)

西安市

OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)
