Why Harvey
Harvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:
Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.
Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.
World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.
Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.
Performance: 4x ARR in 2024.
Competitive compensation.
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)
Please find our CA applicant privacy notice 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 in the early innings of a generational company. Joining early at a hypergrowth startup has proven to lead to exponential growth in responsibility, access, and ability. Apply here today!
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