Senior Analytics Engineer (Finance)

TL;DR

Senior Analytics Engineer (Finance) (Snowflake/dbt): Designing and owning the data infrastructure for WHOOP's financial planning model with an accent on scalable data layers for forecasting and reconciliation. Focus on building the computational engine for financial models, implementing AI-augmented workflows, and ensuring data quality for FP&A stakeholders.

Location: On-site in Boston, MA

Salary: $150,000 - $215,000

Company

WHOOP is a human performance company on a mission to unlock healthspan through a deeper understanding of bodies and daily lives.

What you will do

• Design and maintain the dbt transformation layer that standardizes financial actuals from source systems into model-ready datasets.
• Develop Snowflake-native functions, stored procedures, and frameworks to serve as the computational engine for the financial model.
• Partner with FP&A to translate complex financial modeling logic into maintainable, version-controlled SQL and dbt models.
• Build and maintain data integrations between Snowflake and financial source systems such as NetSuite and Stripe.
• Implement comprehensive data quality testing frameworks to ensure actuals are auditable and trustworthy.
• Design AI-augmented financial workflows using Snowflake Cortex ML for forecasting and anomaly detection.

Requirements

• 4-7 years of experience in analytics engineering, data engineering, or a technical BI/finance role.
• Expert-level SQL proficiency, including complex window functions and stored procedures in Snowflake.
• Deep experience with dbt, including custom macros, testing strategies, and incremental models.
• Strong understanding of financial data concepts such as revenue recognition, cost allocation, and budget vs actual reconciliation.
• Ability to translate ambiguous business requirements into precise technical specifications autonomously.
• Must be based in Boston, MA for on-site work.

Nice to have

• Experience with Sigma Computing or similar spreadsheet-over-warehouse BI tools.
• Proficiency in Python or Snowpark for complex transformations and automation.
• Experience with Snowflake ML functions (FORECAST, ANOMALY_DETECTION) or LLM-based automation.
• Prior experience building financial models specifically for subscription/SaaS business metrics (LTV, CAC, ARR).

Culture & Benefits

• Competitive base salary and a generous equity package aligning employees with long-term company success.
• Comprehensive benefits package.
• Opportunity to work in a builder role at the intersection of Analytics Engineering and FP&A.
• Culture of applying software engineering best practices to analytics (Git, CI/CD, peer review).