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酷澎
Manager, Data Analytics
立即应聘

Manager, Data Analytics

发布于 大约 2 个月前

中层管理(经理/总监)

Taipei, Taiwan
高级经验
全职员工
仅现场办公
本科
数据分析与科学
数据可视化
数据挖掘
机器学习
SQL

AI 估算 · 40k–70k

台湾电商高级经理级别，Coupang为上市大厂，薪资有竞争力，但整体市场比大陆略低。

职位详情

关于这个职位

作为数据分析与科学经理，你将领导团队，利用数据驱动增长营销决策

你需要与市场团队紧密合作，通过分析、实验和机器学习优化客户生命周期，并推动自动化仪表盘和报告的建设
这是一个在快速发展的电商环境中发挥影响力的机会

最低要求

数学、统计学、计算机工程或其他定量学科本科/硕士/博士，5年以上相关经验

至少2年管理专注于增长营销的分析和/或数据科学团队的经验，具备指导分析师和数据科学家的能力
精通Python、SQL、R及可视化工具，具有数据挖掘经验（包括网络日志、点击流、客户数据）
熟悉Hadoop、Spark、Presto等大数据工具
精通实验设计和A/B测试，具备统计学和因果推断知识
能够独立通过数据操作、假设制定、实验设计和统计分析解决业务问题
了解数据科学和AI/ML，包括回归、分类、决策树、聚类和深度学习模型
能够编写清晰简洁的技术文档
强大的批判性思维能力，能够解决非结构化问题

工作职责

理解业务目标并将其转化为可通过分析、数据科学和BI报告解决的技术问题

作为球员兼教练，为多个增长营销渠道（包括付费、CRM、现场营销和产品）创造价值
与增长营销团队紧密合作，提供可操作的见解和建议，定期向领导层和利益相关者展示发现
构建和维护自动化仪表盘和数据管道，为综合报告创建和自动化新数据集
使用全渠道归因测量框架推动增量性和客户增长
设计和进行实验和A/B测试以衡量营销举措，应用统计严谨性和因果推断测量增量性
构建帮助决策和优化的机器学习模型，与数据科学和增长营销团队紧密合作部署优化数据源和受众定位的ML解决方案
领导分析、数据科学和BI报告的技术卓越
建立流程以提高卓越性、有效性和效率，包括文档、数据质量、代码卫生以及与AI工具的集成

优先资格

年以上管理电商领域增长营销分析和/或数据科学团队的经验

有与增长营销团队和大规模活动合作的经验，熟悉Google和Meta等广告平台
有优化数字营销和CRM活动的机器学习模型经验
有优化包含推送、邮件、短信的CRM活动经验
有交付优化营销运营的数据产品和模型的可证实的记录
精通在版本控制环境中编写干净代码
有Gen-AI工作流和LLM经验者优先

AI 洞察

优缺点分析

优点

  • Coupang is a leading e-commerce company with rapid growth in Taiwan, offering exposure to large-scale data and challenges.
  • The role combines hands-on technical work with team management, enhancing both skills.
  • Opportunity to work on cutting-edge areas like ML, causal inference, and Gen-AI.
  • Strong career progression potential in a fast-growing international team.
  • Fast-paced environment requiring high efficiency and ability to deliver under pressure.
  • Need to balance people management with individual technical contributions.
  • May require deep expertise in both analytics and marketing domains.
  • This role is ideal for experienced analytics leaders who thrive in fast-growing e-commerce settings and enjoy combining technical depth with business impact.

缺点 / 挑战

暂无明显挑战项

角色解读

  • Progress to senior leadership roles like Director of Analytics or VP of Data.
  • Expand into broader data science leadership or cross-functional product roles.
  • Become a domain expert in e-commerce growth analytics with high industry demand.
  • Translate business goals into technical problems and drive data-driven solutions for growth marketing.
  • Lead a team of analysts and data scientists, manage multiple channels like Paid, CRM, and On-Site.
  • Design experiments, build dashboards, and deploy ML models to optimize marketing campaigns.
  • Communicate insights and recommendations to leadership and stakeholders regularly.
  • Strong technical skills in Python, SQL, R, and big data tools (Hadoop, Spark).
  • Expertise in experimentation, A/B testing, and causal inference.
  • Experience managing and mentoring analytics/data science teams.
  • Knowledge of digital marketing platforms (Google, Meta) and CRM tools.

申请策略

  • Tailor your resume to demonstrate both technical leadership and business acumen.
  • Prepare to discuss how you've driven growth through data-driven experiments and ML.
  • Emphasize experience managing analytics or data science teams in growth marketing.
  • Showcase hands-on projects using Python, SQL, and big data tools with measurable business impact.
  • Highlight expertise in A/B testing, causal inference, and ML models that optimized campaigns.
  • Include examples of automated dashboards and data pipelines built.
  • Strengthen knowledge of digital advertising platforms (Google Ads, Facebook Ads).
  • Familiarize with Gen-AI workflows and LLMs as mentioned in preferred qualifications.

面试指南

  • Use the STAR method (Situation, Task, Action, Result) to structure answers with clear metrics.
  • For experiments, emphasize hypothesis, design, statistical significance, and business relevance.
  • For management, highlight coaching, delegation, and maintaining technical excellence.
  • Describe a time you used A/B testing to improve a marketing campaign. What was the outcome?
  • How would you design an experiment to measure the incrementality of a paid search initiative?
  • How do you manage a team of data scientists while still contributing hands-on?
  • Explain a complex data science model you deployed and its business impact.
  • How do you handle stakeholders with conflicting priorities?

职位点评

71
综合评分

High-growth analytics leadership role at a major e-commerce company, with cutting-edge tech but demanding pace.

从薪资福利、成长空间、工作节奏和岗位方向综合评估，方便横向比较。

更适合这类人
This role best suits candidates motivated by career growth, technical challenges, and business impact, who are willing to trade off work-life balance for fast-paced growth.
表现最好
成长发展
相对薄弱
工作生活
薪资福利75
成长发展85
工作生活50
使命价值60

薪资福利

75中等

Coupang is a publicly traded global company, likely offering competitive compensation and benefits, typical of large e-commerce firms. However, salary details are not disclosed in the JD.

薪资信号未披露（AI估算：40K-70K/月）

成长发展

85较高

The role offers significant growth opportunities: leading a team, working with cutting-edge tech (ML, Gen-AI), and being part of an early-stage expansion team. JD mentions 'upward growth potential'.

技术前沿前沿/新兴技术
技术栈Python、SQL、R、Hadoop、Spark、Presto、A/B testing、机器学习、因果推断、Gen-AI、LLM
成长机会upward growth potential
业务类型profit_center

工作生活

50较低

No explicit mention of remote work or WLB policies. The role demands a fast-paced environment and likely requires onsite presence in Taipei. No flexibility signals.

工作模式仅现场办公
办公地点市区核心地段
加班情况未提及（无法判断）

使命价值

60中等

E-commerce is a stable and growing industry, but the role's impact is primarily commercial (driving growth). No strong social mission signals in the JD.

行业发展稳定成熟行业
社会影响中性/一般
创新程度积极采用新技术

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