Senior Analytics Engineer, Finance

Stack

Responsibilities

• ▹Design and build scalable data models and pipelines using dbt that power company-wide financial analytics
• ▹Define and implement a semantic layer (e.g. LookML/Omni/other) standardizing metrics like revenue, retention, growth, usage, margin, and forecast inputs
• ▹Partner with Product, Finance, and the Exec team to deliver dashboards and analytical tools surfacing ARR, NRR, and other business health metrics
• ▹Establish and champion data modeling standards and best practices across the organization
• ▹Lead data governance initiatives ensuring data quality, consistency, documentation, and access control
• ▹Structure financial metric definitions and business logic to support AI-assisted reporting, natural language analytics, and automated anomaly detection

Requirements

• ▹5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or a similar field
• ▹Deep expertise in SQL, dbt, Python, Snowflake
• ▹Experience with modern BI tools like Looker/Omni or similar
• ▹Skilled at defining core financial and operating metrics and resolving data inconsistencies across complex systems
• ▹Strong familiarity with version control (GitHub), CI/CD, and modern development workflows
• ▹Experience modeling financial, billing, subscription, CRM, or usage-based revenue data
• ▹Strong understanding of business metrics such as ARR, MRR, churn, retention, expansion, bookings, billings, and revenue recognition

Nice to have

• ▹Early employee at a hyper-growth startup
• ▹Experience with or knowledge of AI and LLMs
• ▹Data Engineering experience
• ▹Experience managing a data warehouse (preferably Snowflake)
• ▹Experience at world-class enterprise orgs (e.g. Brex, Ramp, Stripe, Palantir)

Soft skills

About the company

Harvey builds AI for legal and professional services, combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. The company serves 1,500+ customers in 60+ countries, has strong product-market fit and world-class investor backing, and is scaling fast.