Revenue analytics and FP&A for B2B SaaS
Forecast models that hold up, built on data models that last—from someone who has owned both.
What I do
Revenue and ARR
One set of numbers for ARR, retention, and bookings—modeled in dbt and Snowflake, surfaced in Power BI, and trusted across finance, sales, and CS.
Financial models for forecasting and planning
Multi-year forecasts, scenario models, and three-statement builds that survive contact with a board meeting.
FP&A processes and reporting
Budget process, KPI frameworks, and board-ready reporting—fractional support for teams without a full FP&A bench.
Recent writing
- The level you aggregate at decides the answer
The same data can tell opposite stories depending on the grain you roll it up to. In SaaS, choosing that grain isn't a detail—it's the analysis.
Have a problem worth modeling?
Engagements are scoped per project. Tell me what you're working on.