Senior Analytics Engineer (Finance)

📋 Description Design, build, and maintain the dbt layer for financial actuals in Snowflake. Develop Snowflake-native functions, procedures, and frameworks for the model. Partner with FP&A to translate budgets, forecasts, and P&L into SQL/dbt models. Build and maintain data integrations from NetSuite, Stripe, payroll, and billing to Snowflake. Implement data quality testing; ensure actuals align with sources; enable Sigma handoffs. Design and document model architecture and data lineage; apply code practices. 🎯 Requirements 4-7 years of experience in analytics engineering, data engineering, or technical finance/BI with ownership of production dbt projects. Expert-level SQL with Snowflake: window functions, recursive CTEs, UDFs, and stored procedures. Deep dbt experience with macros, testing, incremental models, and docs-as-code. Strong understanding of financial data concepts: COA, revenue recognition, cost allocation, budget vs actual reconciliation, and driver-based modeling. Experience designing data models for parameterized analysis (scenarios, what-if). Familiarity with ERP/financial systems (NetSuite, Stripe, etc) and data integration challenges. Ability to work autonomously with FP&A stakeholders; translate requirements into technical specs. Strong opinions on data modeling best practices; adaptable to constraints. 🎁 Benefits Competitive benefits package. Generous equity package.