Strategic Finance Analyst: Forecast & Reporting Leader

Webhosting; Northern (KY); Hybrid; USD 97,000 - 132,000; Full time

Job summary

Netlify is seeking a finance professional to own the end-to-end monthly close, maintain the 3-statement operating model, and drive driver-based forecasting. You will manage headcount and software/vendor spend, oversee a KPI layer including ARR and CAC payback, and ensure data integrity across reports.

The role emphasizes automation of close cycles, AI-driven tooling improvements, and building repeatable processes.

Qualifications

• Own the monthly reporting cycle end to end: actuals load, budget vs. actuals, variance commentary, management reporting package.

Responsibilities

• Maintain and run the 3-statement operating model and driver-based forecast, including reforecast mechanics and scenario updates.
• Own headcount and software/vendor expense forecasting, and track actuals against approved budget throughout the month.
• Maintain the company-level KPI and metrics layer – ARR, NRR, gross margin, CAC payback, Rule of 40.
• Own Pigment model hygiene, integrations, and report building, ensuring data integrity as the source of truth.
• Build and maintain department-level budget tracking reports, and support department leaders with budget coverage.
• Partner with GTM leadership on sales planning and KPI tracking; be the go-to for spend/headcount questions.
• Drive automation of monthly close and forecast cycles using AI and tooling improvements, reducing cycle time.
• Document processes so they are repeatable and auditable.
• Build internal tooling to improve financial reporting and budget workflows, moving away from spreadsheet dependency.

Job description

Netlify is seeking a finance professional to own the end-to-end monthly close, maintain the 3-statement operating model, and drive driver-based forecasting. You will manage headcount and software/vendor spend, oversee a KPI layer including ARR and CAC payback, and ensure data integrity across reports.

The role emphasizes automation of close cycles, AI-driven tooling improvements, and building repeatable processes.