Harvey
Senior Analytics Engineer, Finance
New York, Remote. Posted 5 months ago
The role
You will design and build scalable data models and pipelines to power financial analytics. You will partner with Finance, Product, and Executive teams to deliver dashboards and standardize metrics.
What you will do
- Design and build scalable data models and pipelines using dbt.
- Define and implement a robust semantic layer to standardize financial and operating metrics.
- Partner cross-functionally to deliver intuitive dashboards and analytical tools.
- Establish and champion data modeling standards and best practices.
- Lead data governance initiatives for data quality, consistency, and access control.
- Structure financial metric definitions and business logic to support AI-assisted reporting and automated anomaly detection.
Required qualifications
- 5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or 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, uncovering insights, and resolving data inconsistencies.
- Strong familiarity with version control (GitHub), CI/CD, and modern development workflows.
- Bias for action.
- Strong communicator.
- Comfortable working through ambiguity in fast-moving, cross-functional environments.
- Balances big-picture thinking with precision in execution.
- 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 data warehouse (preferably Snowflake)
- Experience at world-class enterprise orgs (ex: Brex, Ramp, Stripe, Palantir)
About the company
Harvey is transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise.