Senior Analytics Engineer (Finance)

RESPONSIBILITIES:

Design build and maintain the dbt transformation layer that standardizes financial actuals (revenue costs headcount operational metrics) from source systems into model-ready datasets. 
Develop Snowflake-native functions stored procedures and frameworks that serve as the computational engine for the financial model — including allocation logic driver-based calculations and scenario parameterization. 
Partner with FP&A to translate complex financial modeling logic (budgets forecasts variance analysis cohort-level P&L) into maintainable version-controlled SQL and dbt models. 
Build and maintain data integrations between financial source systems (NetSuite Stripe payroll billing) and the Snowflake warehouse collaborating with Data Engineering on ingestion reliability. 
Implement comprehensive data quality testing frameworks — ensuring actuals tie to source systems and that downstream model outputs are auditable and trustworthy. ● Support the FP&A team's use of Sigma as the model interface layer ensuring clean handoff points between the dbt/Snowflake backend and the Sigma workbook frontend (input tables formulas parameterized views). 
Document the model architecture assumptions and data lineage so that the system is transparent and maintainable beyond a single person. 
Apply software engineering best practices to all analytics code: version control (Git) modular design CI/CD and peer review.
Proactively identify opportunities to improve model performance reduce refresh latency and scale the system as WHOOP's financial complexity grows. 
Design and implement AI-augmented financial workflows using Snowflake Cortex ML functions — including automated forecasting anomaly detection for variance analysis and contribution analysis for driver decomposition. 
Build LLM-powered automation where appropriate (e.g. auto-generated variance commentary natural language model interrogation via Cortex Analyst / Snowflake CoWork).

QUALIFICATIONS:

• 4-7 years of experience in analytics engineering data engineering or a technical finance/BI role with hands-on ownership of production dbt projects. 
• Expert-level SQL — comfortable writing complex window functions recursive CTEs UDFs and stored procedures in Snowflake. 
• Deep dbt experience: sophisticated projects custom macros testing strategies incremental models and documentation-as-code. 
• Strong understanding of financial data concepts: chart of accounts structure revenue recognition cost allocation budget vs. actual reconciliation and driver-based modeling.
• Experience designing data models that support parameterized analysis (scenarios sensitivities what-if calculations) — not just static reporting. 
• Familiarity with ERP and financial systems (NetSuite Stripe or similar) and the data integration challenges they present. 
• Ability to work autonomously with FP&A stakeholders — translating ambiguous business requirements into precise technical specifications without heavy project management overhead. 
• Strong opinions on data modeling best practices loosely held — comfortable advocating for the right design while adapting to business constraints. 

NICE TO HAVE 

• Experience with Sigma Computing (workbooks input tables materialization calculated columns) or a similar spreadsheet-over-warehouse BI tool. 
• Python or Snowpark for more complex transformations or automation. ● Experience with Snowflake ML functions (FORECAST ANOMALY_DETECTION TOP_INSIGHTS) or equivalent time-series / statistical tooling. 
• Familiarity with LLM-based automation (prompt engineering structured outputs Snowflake Cortex AI functions). 
• Interest in AI-augmented finance — someone who sees the financial model as a living system that should get smarter over time not just a static set of tables. 
• Prior experience building financial models or FP&A systems specifically (vs. general analytics engineering). 
• Exposure to subscription/SaaS business metrics (LTV CAC cohort retention MRR/ARR).

What We Do

At WHOOP we’re on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device and performance optimization platform has been adopted by many of the world's greatest athletes and consumers alike.

Why Work With Us

At WHOOP we’re focused on building an inclusive and equitable team with a strong sense of belonging for everyone—increasing representation in every way as our team grows. We believe that our differences are our source of strength—so much so it’s one of our core values.


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