Senior Data Analyst
At a glance
Highlights
- World-class investor backing
- Rapidly scaling startup
- Early analytics team member
- Impact on product strategy
Why this role might suit you
The position enables shaping analytics foundations at a fast‑growing AI startup, collaborating across product, finance and executive teams, and influencing strategic decisions with modern data tools.
Skills
About the role
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 https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Compensation
This Data Analyst role pays $145k-$210k/yr. Within typical range for data analyst roles in United States.
Questions about this role
How do I apply to this Senior Data Analyst role at Harvey AI?
Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.
What's the typical salary for Data Analyst in United States?
Compensation for Data Analyst roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Data Analyst hub for United States medians across recent openings.
How fast does AI Applyd auto-apply?
Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.
What ATS does Harvey AI use?
AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, LinkedIn Easy Apply, and most other ATS platforms. If we can submit through the platform, we do.
Want AI Applyd to auto-apply to roles like this?
We tailor your resume per posting, fill the forms, and track replies for you.