Analyze budget vs. actual variances by account, cost center, and driver. Draft management commentary explaining variances, identify root causes, and recommend corrective actions.

Build a 12-month rolling forecast using driver-based assumptions. Update with actuals each month, reproject remaining periods, and produce forecast-vs-prior-forecast waterfall to track model accuracy.

Draft concise, board-ready financial narrative for monthly and quarterly board packages: executive summary, KPI dashboard commentary, variance explanation, and forward guidance language.

Model department headcount plans with hiring timelines, fully-loaded cost (salary, benefits, equity, overhead), attrition scenarios, and productivity ramp curves. Output cost impact for annual budget and rolling forecast.

Build multi-scenario financial models: base, bull, bear cases with defined assumption sets. Run Monte Carlo simulation, compute breakeven points, and produce sensitivity tables showing which drivers most impact EBITDA and cash.

Compute and analyze the complete SaaS metric stack: ARR, NRR, GRR, CAC, LTV, payback period, Rule of 40, magic number, and cohort retention. Benchmark against SaaS public company comps.

Evaluate capital investment proposals using NPV, IRR, payback period, and modified IRR. Compare multiple capex scenarios, run sensitivity analysis on key assumptions, and draft capital committee proposals.