Senior Analytics Engineer, Finance

Harvey offers a hybrid, New York, NY based Senior Analytics Engineer, Finance role designed to build a solid financial data foundation. You will develop data pipelines and semantic models that empower company-wide analytics and informed decision-making, collaborating closely with Finance, Product, and leadership. The position comes with a competitive annual salary, equity eligibility, comprehensive benefits, and a flexible approach to work-life balance.

Responsibilities

• Architect and implement 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 maintain a robust semantic layer (LookML/Omni/Other) that standardizes financial and operating metrics, including revenue, retention, customer growth, usage, margin, and forecast inputs
• Collaborate with Product, Finance, and the Exec Team to deliver intuitive, consistent dashboards and analytical tools that surface business health metrics such as ARR and NRR
• Establish and champion data modeling standards and best practices to guide the organization on accuracy, performance, usability, and long-term maintainability
• Lead data governance initiatives to uphold 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 equivalents
• Proven ability to define core financial and operating metrics, surface insights, and resolve data inconsistencies across complex systems
• Strong familiarity with version control (GitHub), CI/CD, and modern development workflows
• Bias for action and a preference for launching usable, iterative data models that deliver value quickly
• Strong communication skills and the ability to build trusted partnerships across Finance, GTM, Product, and Executive stakeholders
• Comfort navigating ambiguity in fast-moving, cross-functional environments
• Balance of big-picture thinking with precision in execution
• 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 (for example Brex, Ramp, Stripe, Palantir)

Compensation

Salary: USD 155,000 - 235,000 per year