Why Harvey

At Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. 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. With 1000+ customers in 60+ countries, 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 is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.

At Harvey, the future of professional services is being written today — and we’re just getting started.

Role Overview

We are looking for a generalist data analyst who can set the foundation for our analytics function. We have incredible product-market fit & demand across diverse customer profiles. We’re in need of someone with data rigor to drive key decision making across the business. As an early member of the analytics team, you’ll help make key decisions on data technologies.

What You’ll Do

• Establish scalable data foundations by designing and implementing robust data models, pipelines, and processes to support product and company-wide analytics at Harvey.

• Partner with Product, Exec Team, GTM, & Finance to create and maintain standard dashboards that measure business health

• Collaborate with cross-functional teams to understand their business needs and lead end-to-end analysis workflows that includes data discovery and extraction (via SQL or APIs), analysis, ongoing scaled deliverables, and presentations

• Deliver effective presentations of findings and recommendations to multiple levels of stakeholders

• Collaborate closely with engineering to jointly lead data architecture decisions, co-design data schemas, and implement orchestration strategies that optimize pipeline reliability and data warehouse performance

• Analyze and synthesize competitive dynamics and customer insights to uncover strategic growth opportunities, driving experimentation and continuous optimization across the business opportunities to improve our business

What You Have

• 3-9 years of experience in an analytics focused role - analytics engineer, data engineer or analyst / consultant with a strong engineering background

• Expert at answering product questions & crafting narratives with data

• Expert with SQL, dbt, Python, Looker/Omni and other common analytics tools

• Eager to move fast & drive impact — you’d rather build an imperfect data model quickly that is used by many people than a perfect data model that collects dust

• Expertise at both defining the right metrics as well as diagnosing and understanding data inconsistencies

• Strong communication with the ability to build meaningful stakeholder relationships.

• Ability to thrive in ambiguous cross-functional projects across Product, GTM, and Finance

• Big picture thinking while still delivering on the details

• Experience in a B2B / commercial environment

Bonus

• Early employee at a hyper-growth startup

• Experience with or knowledge of AI and LLMs

• Experience at world-class enterprise orgs (ex: Brex, Ramp, Stripe, Palantir)

Compensation

$145,000-$210,000

Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].

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 [email protected]