Senior Data Analyst

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.

1. Conducting data science and analytics work in legal technology, legal industry, or litigation consulting context

2. Analyzing AI/LLM product performance with knowledge of retrieval-augmented generation (RAG), agentic workflows, prompt engineering, and model benchmark & evaluations

3. Working closely with product, engineering, and design teams to define product metrics, diagnose metrics issues, and provide actionable business insights and decision support

4. Utilizing SQL for complex data analysis including CTEs, window functions, JSON array operations, and query optimization techniques

5. Building and maintaining data pipelines and transformation workflows using frameworks such as dbt or similar data engineering tools

6. Building and maintaining analytics dashboards and data visualizations using tools such as Looker, Omni, and/or Streamlit

7. Utilizing Python for data manipulation, regression, and machine learning analysis

8. Designing and analyzing A/B tests and multivariate experiments to measure impact of product features on site performance.

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