Senior Analytics Engineer, Finance

Harvey is seeking a Senior Analytics Engineer in Finance to build the financial data backbone, develop scalable pipelines, and design semantic models that empower company-wide analytics and informed decision-making. This hybrid role, based in New York, NY, partners with Finance, Product, and leadership to standardize metrics and deliver clear financial insights that drive strategic outcomes.

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 and decision-making.
• Define and implement a robust semantic layer (such as LookML/Omni/Other) that standardizes financial and operating metrics, including revenue, retention, customer growth, usage, margin, and forecast inputs.
• Partner cross-functionally with Product, Finance, and the Executive Team to deliver intuitive, consistent dashboards and analytical tools that surface business health metrics like ARR and NRR.
• Establish and champion data modeling standards and best practices, guiding the organization on accuracy, performance, usability, and long-term maintainability.
• Lead data governance initiatives, ensuring high standards of data quality, consistency, documentation, and access control across the analytics ecosystem.
• 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 related field.
• Deep expertise in SQL, dbt, Python, and Snowflake.
• Experience with modern BI tools such as Looker/Omni or similar platforms.
• Proven ability to define core financial and operating metrics, extract insights, and resolve data inconsistencies across complex systems.
• Strong familiarity with version control (GitHub), CI/CD, and contemporary development workflows.
• Bias for action, prioritizing the rapid launch of usable, iterative data models that deliver value over perfection.
• Strong communicator capable of building trusted partnerships with Finance, GTM, Product, and Executive stakeholders.
• Comfort navigating ambiguity in fast-moving, cross-functional environments.
• Balance between big-picture thinking and precise execution, knowing when to delve into details and when to move quickly.
• Experience modeling financial, billing, subscription, CRM, or usage-based revenue data.
• Solid understanding of business metrics such as ARR, MRR, churn, retention, expansion, bookings, billings, and revenue recognition.

Technologies

• dbt
• SQL
• Python
• Snowflake
• LookML
• Omni
• Looker
• GitHub

Benefits

• Eligible to participate in equity plan
• Comprehensive health, dental and vision coverage
• 401k match up to 4%
• Flexible PTO

Bonus

• 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 organizations (e.g., Brex, Ramp, Stripe, Palantir)

Compensation

$155,000 - $235,000 USD annually