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

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All Kuaishou Technology jobs](https://jobs.opennash.com/companies/kuaishou-technology/) · [Search jobs](/search/)

Kuaishou Technology · Beijing

# 高阶岗位（分析）-【生活服务】

Beijing 

Listed on Kuaishou Technology’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/31933)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 高阶岗位（分析）-【生活服务】

## Job description
- 深度洞察生活服务/商业化等行业趋势和竞争格局，并进行深入的数据分析；
- 深入了解业务、挖掘业务问题和痛点，通过数据分析为业务提供专业支持，并为管理团队提供决策建议；
- 带领团队支持公司关键业务的分析决策，提出有价值的落地策略并推动落实；
- 平衡团队内同学分工，并和其他业务团队形成高效联动机制。 1、2年以上管理经验，有互联网一线大厂数据分析/商业分析/经营分析相关经验优先； 2、具备高学习能力和问题拆解能力，能够与业务深度结合，做出判断，同时高自驱力和Leadership，追求卓越，充满正能量； 3、具有良好的分析能力和敏感度，能够快速学习了解业务知识，能够将模糊的业务问题转化为具体的分析课题并解决； 4、出色的逻辑能力和表达能力，善于和业务团队沟通，能够跨部门组织协调，推动问题解决。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: Under a day
- Location: Beijing[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/31933)

## More jobs at Kuaishou Technology

### [(大模型专项）多模态大模型算法工程师](https://jobs.opennash.com/companies/kuaishou-technology/jobs/98edf462c05648daadcf/)

Beijing

### [AI Agent 开发实习生（电商在线推荐引擎）](https://jobs.opennash.com/companies/kuaishou-technology/jobs/5945a85b9a833fcbb5f8/)

Beijing

### [AI Agent 策略实习生](https://jobs.opennash.com/companies/kuaishou-technology/jobs/b814e14328b750da25f6/)

Beijing

### [AI Agent算法专家](https://jobs.opennash.com/companies/kuaishou-technology/jobs/0e36be4e740de43e02ad/)

Beijing

### [AI Agent算法专家（智能创作方向）](https://jobs.opennash.com/companies/kuaishou-technology/jobs/41a78c4c892cbbd1bc50/)

Beijing

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/)
