[Remote] Senior Analytics Engineer, Finance

Note: The job is a remote job and is open to candidates in USA. Harvey is transforming how legal and professional services operate. They are seeking a versatile Senior Analytics Engineer to partner closely with the Finance team in building the financial data foundation that drives decision-making at Harvey.ResponsibilitiesDesign and build scalable data models and pipelines using dbt to transform raw data into clean, reliable assets that power company-wide financial analytics and decision-makingDefine and implement a robust semantic layer (e.g. LookML/Omni/Other) that standardizes financial and operating metrics, including revenue, retention, customer growth, usage, margin, and forecast inputsPartner cross-functionally with Product, Finance, and the Exec Team to deliver intuitive, consistent dashboards and analytical tools that surface business health metrics (ARR, NRR)Establish and champion data modeling standards and best practices, guiding the organization in how to model data for accuracy, performance, usability, and long-term maintainabilityLead data governance initiatives, ensuring high standards of data quality, consistency, documentation, and access control across the analytics ecosystemStructure financial metric definitions, business logic, and accounting context in ways that can support AI-assisted reporting, natural language analytics, and automated anomaly detectionSkills5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or similar fieldDeep expertise in SQL, dbt, Python, SnowflakeExperience with modern BI tools like (Looker/Omni, or similar)Skilled at defining core financial and operating metrics, uncovering insights, and resolving data inconsistencies across complex systemsStrong familiarity with version control (GitHub), CI/CD, and modern development workflowsBias for action – you prefer launching usable, iterative data models that deliver immediate value over waiting for perfect solutionsStrong communicator who can build trusted partnerships across Finance, GTM, Product, and Exec stakeholdersComfortable working through ambiguity in fast-moving, cross-functional environmentsBalances big-picture thinking with precision in execution — knowing when to sweat the details and when to move quicklyExperience modeling financial, billing, subscription, CRM, or usage-based revenue dataStrong understanding of business metrics such as ARR, MRR, churn, retention, expansion, bookings, billings, and revenue recognitionEarly employee at a hyper-growth startupExperience with or knowledge of AI and LLMsData Engineering ExperienceExperience managing data warehouse (preferably Snowflake)Experience at world-class enterprise orgs (ex: Brex, Ramp, Stripe, Palantir)Company OverviewHarvey provides AI-driven tools to assist legal professionals with research, document review, and contract analysis. It was founded in 2022, and is headquartered in San Francisco, California, USA, with a workforce of 501-1000 employees. Its website is https://harvey.ai.Company H1B SponsorshipHarvey has a track record of offering H1B sponsorships, with 5 in 2026, 1 in 2025. Please note that this does not guarantee sponsorship for this specific role.