Harvey
Product
SeniorAnalyticsEngineer,Product
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Analytics Engineer, Product at Harvey. Skills: Analytics Engineering, Data Modeling, SQL, dbt. Design data models and pipelines. Build scalable data models”
What You'll Achieve.
power company-wide analytics; decision-making; ensure self-serve capabilities; surface business health metrics; deliver immediate value
Industry & Context.
uncovering insights; resolving data inconsistencies
What They're Looking For.
Must Have
5+ years of experience in Analytics Engineering, Data Engineering, Data Science, Deep expertise in SQL, dbt, Python, Snowflake, Experience with modern BI tools, Skilled at defining core business and product metrics, uncovering insights, resolving data inconsistencies, familiarity with version control (GitHub), CI/CD, modern development workflows, Bias for action, communicator, Balances big-picture thinking, precision in execution, Experience modeling high-volume, semi-structured product event data, JSON payloads, nested properties, user/account identifiers, sessions, funnels, cohorts, behavioral metrics
Nice to Have
Early employee at a hyper-growth startup, Experience with or knowledge of AI and LLMs, Data Engineering Experience, Experience managing data warehouse, Experience at world-class enterprise orgs
What You'll Do.
Design data models and pipelines
Build scalable data models
Define semantic layer
Standardize business metrics
Ensure self-serve capabilities
Deliver dashboards and analytical tools
Establish data modeling standards
Guide data modeling practices
Design tracking plans
Implement events accurately
Own product event tracking strategy
Empower stakeholders with data
Make analytical assets discoverable
Turn datasets into insights
Capture user behavior
How You'll Work.
Team & Collaboration
Partner cross-functionally with Product; GTM; Finance; Exec Team; Partner with Product Managers; Engineers; Data teams; build trusted partnerships across Product; GTM; Finance; Exec stakeholders
Communication Scope
communicator; build trusted partnerships
Full Job Description
WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. 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 1500+ 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 moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We’re looking for a versatile Senior Analytics Engineer focusing on Product to architect event data models that power decision-making at Harvey. With product-market fit already proven and demand surging across diverse customer segments, you’ll design clean, reliable pipelines and semantic data models that turn raw events into usable insights. As an Analytics Engineer on our team, you’ll help evolve our data stack, champion best practices in testing and documentation, and collaborate closely with product, GTM, and leadership to ensure every team can answer its own questions with confidence. If you combine engineering rigor with a love of storytelling through data we’d love to meet you. WHAT YOU'LL DO - Design and build scalable data model
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