[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

# 直播流量策略实习生-【电商】

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/31752)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 直播流量策略实习生-【电商】

## Job description
- 负责快手平台电商直播在push等方向的流量策略优化；

### 数据分析和经营诊断
- 基于实验逻辑，做好单个实验分析并挖掘进一步优化空间；基于业务逻辑，通过目标监测、归因分析、问题诊断等助力业务目标达成；
- 能尝试理解用户，通过数据分析发现用户真实诉求，制定差异化策略，达成GMV增长目标；
- 推进算法、分析、数据、行业等相关协同方落地项目需求，拿到项目收益。
- 本科及以上学历，有互联网数据分析、经营分析、策略分析、搜推广策略产品实习经验；
- 逻辑清晰，有自驱力，有责任心，有较强的沟通能力和项目推进能力；

### 硬技能
- 熟练使用SQL及数据分析工具（现场考核SQL，Python/R等加分），具备统计学基础，若硬技能较强情况下，可适当放宽第1点要求；
- 实习时长6个月及以上，每周出勤5天。

## 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/31752)

## 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/)
