高级分析工程师，财务
Senior Analytics Engineer, Finance
为什么选择Harvey
在Harvey，我们正在改变法律和专业服务的运作方式。通过结合前沿的代理AI、企业级平台和深厚的专业知识，我们正在重塑未来数十年关键知识工作的完成方式。
这是一个难得的机会，帮助打造一家具有时代意义的公司，在真正的转折点上共同成长。我们拥有强大的产品市场匹配度和世界级的投资支持。我们正在快速扩展，并实时定义一个全新的品类。这项工作充满雄心，标准很高，个人、职业和财务上的成长机会是无与伦比的。
我们的团队行动迅速，有责任感，对使命充满热情——以高强度运作，贴近客户，不断追求卓越。我们秉持三个价值观：果断、简洁、工作未完成。我们在清晰判断的基础上快速行动，而非等待完美信息；我们相信简洁才是可扩展的关键；我们从不满足于现状。如果你希望与志同道合的人一起完成职业生涯中最出色的工作，我们期待与你携手共创。
在Harvey，专业服务的未来正在今天被书写——而我们才刚刚开始。
职位概述
我们正在寻找一位多面手的高级分析工程师，与我们的财务团队紧密合作，构建推动Harvey决策的财务数据基础。在产品市场匹配度已经得到验证、各细分客户群体需求激增的背景下，你将设计干净、可靠的管道和语义数据模型，将原始数据转化为可用的洞察。作为我们团队的分析工程师，你将帮助演进我们的数据栈，倡导测试和文档的最佳实践，并与产品、财务和管理层密切合作，确保每个团队都能自信地回答自己的问题。如果你兼具工程严谨性和通过数据讲故事的热情，我们期待与你见面。
你将负责
- 使用dbt设计并构建可扩展的数据模型和管道，将原始数据转化为干净、可靠的数据资产，支持公司范围内的财务分析和决策。
- 定义并实现一个稳健的语义层（例如LookML/Omni/其他），标准化财务和运营指标，包括收入、留存率、客户增长、使用情况、利润率和预测输入。
- 与产品、财务和高管团队跨职能合作，交付直观、一致的仪表盘和分析
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WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
We’re looking for a versatile Senior Analytics Engineer to partner closely with our Finance team in building the financial data foundation that drives decision-making at Harvey. With product-market fit already proven and demand surging across diverse customer segments, you’ll design clean, reliable pipelines and semantic data models that turn source data into usable insights. As an Analytics Engineer on our team, you’ll help evolve our data stack, champion best practices in testing and documentation, and collaborate closely with product, finance, and leadership to ensure every team can answer its own questions with confidence. If you combine engineering rigor with a love of storytelling through data we’d love to meet you.
WHAT YOU'LL DO
- Design and build scalable data models and pipelines using dbt to transform raw data into clean, reliable assets that power company-wide financial analytics and decision-making.
- Define and implement a robust semantic layer (e.g. LookML/Omni/Other) that standardizes financial and operating metrics, including revenue, retention, customer growth, usage, margin, and forecast inputs.
- Partner cross-functionally with Product, Finance, and the Exec Team to deliver intuitive, consistent dashboards and analytical tools that surface business health metrics (ARR, NRR).
- Establish and champion data modeling standards and best practices, guiding the organization in how to model data for accuracy, performance, usability, and long-term maintainability.
- Lead data governance initiatives, ensuring high standards of data quality, consistency, documentation, and access control across the analytics ecosystem.
- Structure financial metric definitions, business logic, and accounting context in ways that can support AI-assisted reporting, natural language analytics, and automated anomaly detection.
WHAT YOU HAVE
- 5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or similar field.
- Deep expertise in SQL, dbt, Python, Snowflake.
- Experience with modern BI tools like (Looker/Omni, or similar).
- Skilled at defining core financial and operating metrics, uncovering insights, and resolving data inconsistencies across complex systems.
- Strong familiarity with version control (GitHub), CI/CD, and modern development workflows.
- Bias for action – you prefer launching usable, iterative data models that deliver immediate value over waiting for perfect solutions.
- Strong communicator who can build trusted partnerships across Finance, GTM, Product, and Exec stakeholders.
- Comfortable working through ambiguity in fast-moving, cross-functional environments.
- Balances big-picture thinking with precision in execution — knowing when to sweat the details and when to move quickly.
- Experience modeling financial, billing, subscription, CRM, or usage-based revenue data.
- Strong understanding of business metrics such as ARR, MRR, churn, retention, expansion, bookings, billings, and revenue recognition.
BONUS
- Early employee at a hyper-growth startup
- Experience with or knowledge of AI and LLMs
- Data Engineering Experience
- Experience managing data warehouse (preferably Snowflake)
- Experience at world-class enterprise orgs (ex: Brex, Ramp, Stripe, Palantir)
COMPENSATION
$155,000 - $235,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
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Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai