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China Taiping Insurance · 香港特别行政区

# 企划部-业务分析岗-专业序列-中级

香港特别行政区 

Listed on China Taiping Insurance’s official careers site. Posted December 23, 2021. Check that it is still open and apply there.
[Apply on China Taiping Insurance’s careers site →](https://cntp.zhiye.com/social/detail?jobAdId=9b074feb-95c5-4698-a7a6-f0cd1a2dbf35)

[OpenNash Jobs](https://jobs.opennash.com/) / [China Taiping Insurance](https://jobs.opennash.com/companies/china-taiping-insurance/) / 企划部-业务分析岗-专业序列-中级

## Job description
- 跟踪和分析业务数据，发现潜在的商业机会，支持业务优化和产品改进。
- 组织编写业务分析报告，识别和分析潜在风险或变化，为业务拓展提供决策支持。
- 构建数据评估系统和业务数据分析系统。设计并完成业务分析表，使数据分析环节多样化，能够从多个维度提取有价值的信息，简化和自动化数据提取和分析过程。
- 在内部数据和外部数据的基础上进行单体图形分析和业务评估。
- 准备和维护知识库、系统相关文件、培训材料等。
- 保险、统计、精算、数学、金融或相关专业的学士学位。
- 在相关领域有3至5年的工作经验。
- 熟练掌握中文和英文的口语和写作。
- 良好的团队合作精神，善于沟通。
- 熟悉Microsoft Word / Excel / PowerPoint。
- 对商业分析有敏感度和热情，能够提供有价值的建议；有Python/Tableau/PowerBI方面的经验者优先。
- 可立即上岗者优先。

## At a glance
- Posted by the employer: Dec 23, 2021
- First seen by OpenNash: Oct 13, 2026
- Last checked: Oct 20, 2026
- Listed for: Over a year
- Location: 香港特别行政区[Apply on China Taiping Insurance’s careers site →](https://cntp.zhiye.com/social/detail?jobAdId=9b074feb-95c5-4698-a7a6-f0cd1a2dbf35)

## More jobs at China Taiping Insurance

### [Accounts Manager](https://jobs.opennash.com/companies/china-taiping-insurance/jobs/dedd879d0703277539de/)

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### [Accounts Manager (Reinsurance)](https://jobs.opennash.com/companies/china-taiping-insurance/jobs/672a9225eceb0997e5d8/)

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### [Accounts Manager (Reporting)](https://jobs.opennash.com/companies/china-taiping-insurance/jobs/d421517cb3b7a7664ecc/)

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### [Accounts Manager (Settlement)](https://jobs.opennash.com/companies/china-taiping-insurance/jobs/6d071ed5e94a8c0e152b/)

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### [Actuarial Position, SA/AM/M (Non-life Reinsurance)](https://jobs.opennash.com/companies/china-taiping-insurance/jobs/fc9747212d30144f060d/)

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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.

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