6 months ago
Base Salary
$156k - $234k/yr
Responsibilities
- Design and build scalable data models and pipelines with dbt to transform raw data into reliable financial analytics assets.
- Define a semantic layer using tools such as LookML, Omni, or similar platforms for financial and operating metrics.
- Partner with Product, Finance, and executive stakeholders to deliver dashboards and analytical tools covering metrics such as ARR and NRR.
- Establish data modeling standards and best practices for accuracy, performance, usability, and maintainability.
- Lead data governance initiatives covering data quality, consistency, documentation, and access control.
- Structure financial definitions, business logic, and accounting context for AI-assisted reporting, natural-language analytics, and automated anomaly detection.
Requirements
- At least 5 years of experience in Analytics Engineering, Data Engineering, Data Science, or a similar field.
- Deep expertise in SQL, dbt, Python, and Snowflake.
- Experience with modern business intelligence tools such as Looker, Omni, or similar.
- Ability to define financial and operating metrics, uncover insights, and resolve data inconsistencies across complex systems.
- Familiarity with GitHub, CI/CD, and modern development workflows.
- Experience modeling financial, billing, subscription, CRM, or usage-based revenue data.
- Strong understanding of ARR, MRR, churn, retention, expansion, bookings, billings, and revenue recognition.
- Strong cross-functional communication skills and comfort working with Finance, GTM, Product, and executive stakeholders in ambiguous, fast-moving environments.
- Preferred qualifications include early experience at a hyper-growth startup, familiarity with AI and LLMs, data engineering experience, experience managing a data warehouse such as Snowflake, and experience at a leading enterprise organization.
About Harvey
Harvey builds domain-specific generative AI for legal and other professional services, delivered as an enterprise platform and APIs to automate contract analysis, due diligence, compliance, and litigation workflows. Founded in 2022 and headquartered in San Francisco, it sells to law firms and corporate legal departments on enterprise agreements; investors include Sequoia Capital and OpenAI. Customers include multiple Am Law 100 firms and Fortune 500 companies’ legal teams.