高级产品分析师
Senior Product Analyst
### 关于我们:
Monarch 是一个功能强大的一站式个人理财平台,旨在让复杂的财务变得简单。自 2021 年推出以来,我们已成为用户和专家推荐的首选个人理财应用。我们的目标是让财务不再成为压力源,让用户专注于真正重要的事情。
我们是一支务实的团队,由经验丰富的创业者领导,他们热衷于帮助会员实现财务目标。我们专注于打造人们喜爱的产品,并不断寻找能让我们做得更好的优势。AI 是我们运作的核心:团队中的每个人都将其作为合作伙伴,以提升判断力、加快速度并拓展可能性。我们不追求工具的精通,而是追求熟练度和好奇心。重要的是 AI 已经是你工作的一部分,并且你正在不断提升自己使用 AI 的能力。
作为一家完全远程的公司(甚至在新冠疫情之前!),我们欢迎几乎所有地方的申请者。我们的团队主要在太平洋时间上午 9 点至下午 2 点进行同步协作,并采用异步工作方式,以保持跨时区的连接。
加入我们,共同实现简化金钱、改变生活的使命。
### 职位描述:
Monarch 正在寻找一位高级产品分析师加入我们的数据团队。在这个职位上,你将负责如何衡量产品以及如何从产品中学习,通过设定实验严谨性的标准,调查用户行为以发现真正推动转化和留存的因素,并全程运行我们的实验循环。你将与数据团队的同事紧密合作,并与增长、产品和工程团队协作,发挥关键作用,使我们能够做出数据驱动的决策。
### 你将负责:
- 主导 A/B 测试的设计和分析,并与产品经理合作得出结论和建议
- 与增长团队合作,贯穿整个实验循环,包括生成和优先排序想法、评估机会规模、设计和分析实验,并将学习成果融入下一轮实验
- 分析用户行为并深入研究异常情况,以理解业务变化的原因
- 与产品和工程团队合作,针对即将推出的特性,定义测量方法和成功指标,并确保跟踪事件已就位
- 为商业决策提供数据和洞察,并向公司更广泛的团队和管理层分享结果
- 自动化重复性工作
查看英文原文
### **About Us:**
Monarch is a powerful, all-in-one personal finance platform designed to help make the complexity of finances feel simple again. Since launching in 2021, we've become the top-recommended personal finance app by users and experts. Our goal? To take the stress out of finances so our members can focus on what truly matters.
We are a team of do-ers led by experienced entrepreneurs who are passionate about helping our members reach their financial goals. We're hyper focused on building a product people love, and on finding every edge that helps us do that better. AI is core to how we operate: every person on the team uses it as a partner to sharpen judgment, move faster, and expand what's possible. We're not looking for tool mastery, we're looking for fluency and curiosity. What matters is that AI is part of how you work today and that you're actively raising your own bar on how to use it well.
As a fully remote company (even before COVID!), we welcome applicants from almost anywhere. Our team collaborates synchronously mostly from 9 AM – 2 PM PT and embraces asynchronous work to stay connected across time zones.
Join us on our mission to transform lives by **simplifying money, together.**
### **The Role:**
Monarch is looking for a senior product analyst to join our data team. In this role, you'll own how we measure the product and how we learn from it by setting the bar for experimental rigor, investigating user behavior to find what actually drives conversion and retention, and running our experimentation loop end to end. You will partner closely with peers on the data team and work with growth, product, and engineering teams, playing a crucial role in enabling us to make data-driven decisions.
### **What You’ll Do:**
- Own A/B test design and analysis and partner with product managers on conclusions and recommendations
- Partner with the growth team across the full experimentation loop from generating and prioritizing ideas, sizing the opportunity, designing and analyzing the experiment, and folding learnings into the next round
- Analyze user behavior and dive into anomalies to understand changes in the business
- Partner with product and engineering teams on upcoming feature launches, defining the measurement approach and success metrics, and ensuring tracking events are in place
- Provide data and insight into business decisions and share results with broader company and leadership team
- Automate recurring workflows without sacrificing insight quality
- Build new datasets and pipelines while also helping to maintain/update our existing data infrastructure
### **What You’ll Bring:**
- At least 4 years in a product analyst (or similar) role, preferably at a growth stage company
- Advanced knowledge of statistical methodologies for A/B testing including designing experiments and analyzing their results
- You are naturally curious and comfortable with ambiguity. You think through the tradeoffs of speed and accuracy and can make recommendations on the best approach to solving a problem
- You can work with both technical and non-technical partners and translate requirements into actionable steps. You can comfortably explain technical topics and roadblocks to non-technical partners.
- Expert level SQL - you are comfortable not just with selecting data but with creating new tables, advanced features like window functions, and writing clear and succinct code
- Experience across a modern analytics stack. We use Amplitude and Statsig for product & experimentation and Snowflake, DBT, Hex, and Omni for BI.
- AI fluency - you are actively pushing the boundaries of AI and know when to use it and when it might introduce errors
### **Nice to Haves:**
- Experience in consumer subscription analytics
- Experience in an early stage, high growth startup
### **Typical Process (May vary depending on role):**
- Recruiter Video Call
- Hiring Manager Video Call
- Peer interview
- Take Home Assignment
- Virtual “onsite” round consisting of 2-4 rounds
- Reference Checks
- Offer!
#LI-DNI
### **Benefits :**
- Work wherever you want! As a **fully** remote company with no central office, we want you to work wherever you are happiest and most productive. Whether that’s out of your home, a co-working space, or elsewhere.
- Competitive cash and equity compensation in a hyper growth, early stage company 🚀.
- Stipend to set-up your ideal working environment.
- Competitive Benefit Plans for employees based on your location (e.g. in the US we offer: Medical, dental and vision benefits and the ability to contribute to a 401k plan).
- Unlimited PTO.
- 3 day weekend every month! We take off the “First Friday” every month to focus on rest, recuperation, or just having fun!
### **Equal Opportunity & Non-Discrimination**
We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy and gender identity), sexual orientation, age, marital status, veteran status, disability status, or genetic information.
### **Applicant Notices**
_California & San Francisco:_ Pursuant to the California Fair Chance Act and the San Francisco Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered for employment. We comply with all applicable fair chance hiring laws.