The posting
1. Partner closely with Growth, Operations, or Product teams to translate complex technical topics, such as 3D technologies, into measurable business metrics and actionable insights, and drive initiatives through execution; 2. Respond quickly to high-priority ad hoc requests, identify the root causes of metric anomalies and business changes, and provide decision support for business operations and product iteration; 3. Design and optimize core metric frameworks, business performance dashboards, and analytical methodologies to establish consistent and trusted data definitions; 4. Communicate analytical findings, limitations, and recommended actions clearly, drive follow-through with business leaders, and continuously track outcomes; 5. Apply A/B testing and sample size calculation proficiently to ensure the statistical validity of experiments; 6. Collaborate with the data platform and data engineering teams to define data requirements, metric semantics, and acceptance criteria, and jointly build analytical datasets, self-service analytics tools, and reusable data assets; 7. Use AI tools effectively to improve the efficiency of data acquisition, analysis, research, and knowledge management.
1. 深入服务增长、运营或产品业务线,将复杂技术问题转化为可衡量的商业指标和经营策略,推动项目落地; 2. 快速响应高优先级 ad-hoc 需求,定位指标异常和业务变化的原因,为经营决策和产品迭代提供判断依据。 3. 设计和优化核心指标体系、经营看板和分析框架,推动形成统一、可信的业务数据口径; 4. 清晰表达分析结论、适用边界和行动建议,推动业务负责人落实行动并持续追踪结果。 5. 熟练运用 A/B Test 及样本量计算,保障实验统计有效性; 6. 与数据中台和数据开发团队协作,提出数据需求、指标语义和验收标准,共同建设分析数据集、自助分析工具及可复用数据资产。 7. 合理使用 AI 工具提升数据获取、分析、研究和知识沉淀效率。
1. Master's degree or above in Statistics, Applied Mathematics, Economics, Computer Science, Artificial Intelligence, or another relevant discipline; 2. Advanced proficiency in SQL and Python, with hands-on experience across the full analytics workflow, including data querying, aggregation, analysis, and visualization; 3. Strong communication skills and a collaborative mindset; 4. Experience in AI, SaaS, internet products, startups or high-growth companies, or global products and markets is preferred.
1. 硕士及以上学历,统计学、应用数学、经济学、计算机、AI等专业或拥有相关专业背景; 2. 精通 SQL 与 Python,具备从数据查询、聚合、分析到可视化的全流程实践能力; 3. 良好的沟通能力和团队协作精神。 4. 具备 AI/SaaS/互联网、初创/高增长或出海/国际化产品经验者优先。



