Why This Job is Featured on The SaaS Jobs
This Senior Data Analyst role stands out in SaaS because it sits at the intersection of product analytics and company-wide decision support inside an AI-native, enterprise software environment. The listing points to a platform with broad customer reach and cross-functional stakeholders, which typically means analytics must translate heterogeneous usage and operational signals into consistent, trusted measurement.
For a SaaS career path, the work emphasizes foundations that travel well between companies: defining durable metrics, building repeatable pipelines, and turning ambiguous questions into scaled reporting and recommendations. Close partnership with Product, GTM, Finance, and Engineering also reflects how modern SaaS organizations run on shared definitions of retention, activation, and revenue health, with analysts expected to influence prioritization rather than only report outcomes.
This role fits an analyst who prefers end-to-end ownership, from data discovery through stakeholder communication, and who is comfortable collaborating on data architecture choices rather than working solely in a BI layer. It also suits someone motivated by product performance questions in AI systems, where evaluation, experimentation, and model-adjacent measurement require rigor and clear storytelling across technical and non-technical audiences.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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.
EMPLOYER: HARVEY AI CORPORATION
TITLE: Senior Data Scientist
Location: 201 3rd Street, Suite 500, San Francisco, CA 94103; Must be in the office 3 days per week and 2 days at home.
Salary Range: 40 hours/week; $145,000 - $210,000/year
Job Description: Establishing scalable data foundations by designing and implementing robust data models, pipelines, and processes to support product and company-wide analytics at Harvey. Partnering with Product, Exec Team, GTM, & Finance to create and maintain standard dashboards that measure business health. Collaborating with cross-functional teams to understand their business needs and lead end-to-end analysis workflows that include data discovery and extraction (via SQL or APIs), analysis, ongoing scaled deliverables, and presentations. Delivering effective presentations of findings and recommendations to multiple levels of stakeholders. Collaborating 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. Analyzing and synthesizing competitive dynamics and customer insights to uncover strategic growth opportunities, driving experimentation and continuous optimization across the business opportunities to improve our business. Must be in the office 3 days per week and 2 days at home.
Requirements: Bachelor’s degree or foreign degree equivalent in Applied Math or Data Science, or related field and three (3) years of experience in the related role or job offered.
Experience and/or education must include:
Conducting data science and analytics work in legal technology, legal industry, or litigation consulting context
Analyzing AI/LLM product performance with knowledge of retrieval-augmented generation (RAG), agentic workflows, prompt engineering, and model benchmark & evaluations
Working closely with product, engineering, and design teams to define product metrics, diagnose metrics issues, and provide actionable business insights and decision support
Utilizing SQL for complex data analysis including CTEs, window functions, JSON array operations, and query optimization techniques
Building and maintaining data pipelines and transformation workflows using frameworks such as dbt or similar data engineering tools
Building and maintaining analytics dashboards and data visualizations using tools such as Looker, Omni, and/or Streamlit
Utilizing Python for data manipulation, regression, and machine learning analysis
Designing and analyzing A/B tests and multivariate experiments to measure impact of product features on site performance.
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 accommodations@harvey.ai
