Senior Analytics Engineer, Finance

Stack

Responsibilities

• ▹Design and build scalable data models and pipelines using dbt to transform raw data into clean, reliable assets that power company-wide financial analytics
• ▹Define and implement a robust semantic layer (e.g. LookML/Omni or similar) that standardizes financial and operating metrics — revenue, retention, customer growth, usage, margin, and forecast inputs
• ▹Partner cross-functionally with Product, Finance, and the Exec Team to deliver intuitive, consistent dashboards and analytical tools (ARR, NRR)
• ▹Establish and champion data modeling standards and best practices for accuracy, performance, usability, and long-term maintainability
• ▹Lead data governance initiatives, ensuring high standards of data quality, consistency, documentation, and access control
• ▹Structure financial metric definitions, business logic, and accounting context 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 (Looker/Omni or similar)
• ▹Skilled at defining core financial and operating metrics, uncovering insights, and resolving data inconsistencies across complex systems
• ▹Strong familiarity with version control (GitHub), CI/CD, and modern development workflows
• ▹Bias for action — prefers launching usable, iterative data models over waiting for perfect solutions
• ▹Strong communicator who can build trusted partnerships across Finance, GTM, Product, and Exec stakeholders
• ▹Comfortable working through ambiguity in fast-moving, cross-functional environments
• ▹Balances big-picture thinking with precision in execution
• ▹Experience modeling financial, billing, subscription, 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 experience 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 is transforming how legal and professional services operate, combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, they are scaling fast.