中级数据分析师（Findies）
Middle Data Analyst (Findies)
关于Findies
Findies是一个由个人数字专家组成的网络，帮助女性发现真正符合她们生活方式的产品——包括时尚、美妆、健康、家居园艺等更多领域。
我们的团队规模小、注重实践、行动迅速且以AI为核心。我们正在寻找有抱负的专业人士，他们希望拥有真正的决策权，并有机会塑造和建设业务。
随着我们在1.19万亿美元的电子商务行业中不断增长，你交付成果和快速行动的能力将对我们的成功至关重要。
关于该职位
我们正在寻找一位有抱负的数据分析师，为我们的市场和产品团队赋能，帮助我们做出正确的决策，推动我们快速增长的产品。作为数据团队的第二位分析师，你将直接向分析负责人汇报。
最棒的是？核心数据基础设施和主要仪表盘已经搭建完成，主要的数据质量问题也已解决。这意味着你可以直接进入分析工作的最精彩部分：寻找洞察、验证假设，并看到你的研究对业务的直接影响。
此外，这个职位还提供了一个独特的机会，与团队一起在数据分析和业务中实施以AI为核心的方法。
你将负责的工作
- 假设验证：对产品和营销计划拥有主导权并担任评判角色。分析跨产品功能、网页漏斗、付费营销和社交媒体营销活动的A/B测试，消除认知偏差并确保数据驱动的决策。
- 深度研究：独立深入数据，发现隐藏的问题和非显而易见的洞察，以加速项目增长。
- 评估产品中的AI功能：通过发展我们的LLM-as-a-judge方法，对聊天机器人的情感进行分析。开发新的框架用于有效的用户体验分析。
- 自助式分析：在Tableau中开发仪表盘，并构建代理AI工具，以增强关键利益相关者的分析能力。
- ELT（转换层）：通过构建和优化dbt模型，为我们的DWH（BigQuery）做出贡献。
你所需的条件
- 具备强大的分析思维，拥有出色深度研究和解决问题的能力。
- 有基于订阅的产品经验；产品和/或绩效营销分析经验。
- 精通SQL，最好有云数据仓库经验（BigQuery、Redshift、Snowflake等）。
- 熟悉统计学、A/B测试分析方法和预测方法。
- 精通Tableau
查看英文原文
About Findies
Findies is a network of personal digital experts that help women discover products that truly fit their lifestyle — in fashion, beauty, wellness, home and garden, and more.
Our team is small, hands-on, fast-moving, and AI-first. We're looking for ambitious professionals who want real ownership and the opportunity to shape and build the business.
As we grow within the $1.19 trillion e-commerce industry, your ability to deliver results and move fast will be essential to our success.
About the role
We are looking for an ambitious Data Analyst to empower our marketing and product teams and help us make the right decisions to drive our rapidly growing product. Joining as the second analyst on our data team, you will report directly to the Analytics Lead.
The best part? The core data infrastructure and main dashboards are already set up, and major data quality issues have been resolved. This means you get to dive straight into the most exciting part of the analytics job: seeking insights, validating hypotheses, and seeing the immediate impact of your research on the business.
Moreover, this role offers a unique opportunity to grow alongside the team in implementing AI-first approaches in data analytics and business in general.
What you'll be doing
- Hypothesis Validation: take ownership and act as a judge for product and marketing initiatives. Analyze A/B tests across product features, web funnels, paid marketing, and SMM activities, eliminating cognitive bias and ensuring data-driven decisions.
- Deep Research: dive deep into the data independently to find hidden issues and non-obvious insights that can accelerate project growth.
- Evaluate AI-features in the product: conduct sentiment analysis of chatbots by evolving our LLM-as-a-judge approach. Develop new frameworks for effective user experience analysis.
- Self-service analytics: develop dashboards in Tableau and build agentic AI tools to empower the analytical capabilities of key stakeholders.
- ELT (Transform layer): contribute to our DWH (BigQuery) by building and enhancing dbt models.
What you'll need
- Strong analytical mindset with excellent deep-dive research and problem-solving skills.
- Experience in subscription-based products; product and/or performance marketing analytics.
- Advanced SQL, preferably with cloud data warehouses (BigQuery, Redshift, Snowflake, etc.)
- Knowledge of statistics, A/B test analytics approaches, forecasting methods.
- Expertise in Tableau or other BI tools.
- High AI Literacy: solid understanding of LLM principles, a high interest and experience in using modern AI-tools for work and analytics.
- As a plus: basic skills with modern ELT stack (Airflow, dbt) and Python for ELT.
Originally posted on Himalayas