Senior Financial Analyst

Build and maintain the AI-native revenue model covering new customer ramp, go-live timing, expansion, contraction, and churn. Partner with revenue operations on accurate revenue targets and go-to-market metrics. Model go-to-market economics, including sales and marketing investment, pipeline conversion, and channel returns. Build the monthly plan-to-forecast-to-actual revenue bridge and explain every variance by driver. Prepare revenue review analysis and flag anomalies. Define and maintain the company KPI framework, including ARR/MRR, NRR, churn, CAC, LTV, payback period, and pipeline coverage. Present metrics and interpretation to leadership on a regular cadence. Track performance against SaaS peer benchmarks. Provide proactive analysis that informs business decisions. Build and maintain driver-based models for subscription revenue, integration costs, and hosting; keep them versioned, documented, and auditable. Drive quarterly reforecast cycles to completion with immutable baselines and documented changes. Perform scenario and sensitivity analysis for pricing, ramp, churn, and cost assumptions. Model headcount, vacancy impact, contractor timing, and fully loaded costs. Analyze third-party integration and data costs, monitor vendor variance, and flag cost drift. Monitor cloud infrastructure spend with in-month early reads. Track software, vendor, and contractor operating expenses against budget and produce department-level variance commentary. Maintain gross margin by revenue stream, unit economics, and cost-to-serve models. Deliver company- and department-level budget-versus-actuals reporting each close. Draft monthly variance narratives explaining what moved, why, and annual implications. Maintain and extend executive and department dashboards. Prepare recurring financial schedules and analysis for board packages. Partner with accounting on department-level actuals and classification so reporting ties across the GL, platform, and reports. Run data validation and quality checks across revenue, cost of revenue, and operating expenses. Automate repetitive finance workflows. Document models and underlying logic. Requirements Bachelor's degree in finance, accounting, economics, or a related field. 3–5 years of progressive FP&A, corporate finance, or strategic finance experience, including direct ownership of a forecast. Experience in a SaaS, subscription, or recurring-revenue business, with a strong command of ARR/MRR, bookings, NRR, churn, gross margin, CAC, LTV, payback period, and pipeline coverage. Experience partnering cross-functionally with sales, marketing, or revenue operations. Advanced Excel / Google Sheets — driver-based modeling, scenario analysis, and large data manipulation (pivot tables, XLOOKUP / INDEX-MATCH). Demonstrated ability to build a model someone else can pick up — versioned, documented, and auditable. Strong written communication: you can explain a variance in two sentences to someone who does not work in finance. Experience using automation in finance workflows, along with curiosity about applying AI tools such as Claude, Gemini, or similar technologies to analysis and process improvement. Comfort building in white space — you can take an undefined problem and return with a framework. Strong organizational skills and the ability to juggle competing priorities without dropping balls. Able to work 3 days per week on-site in Denver. Preferred: Experience automating a recurring report, model, or reporting process. Preferred: Prior experience at a high-growth startup, technology company, or SaaS environment. Preferred: Background in automotive retail, dealer technology, or another vertical SaaS with usage- and implementation-driven revenue. Preferred: Experience supporting board reporting, 409A valuations, or fundraise diligence. Preferred: Experience with Rillet, Ramp, HubSpot, BambooHR, Carta, or similar tools. Core Competencies Demonstrates expertise in financial modeling, revenue analysis, and KPI management within a SaaS environment, with a strong focus on ARR/MRR, churn, and cost management. Proficient in advanced Excel modeling and automation of finance workflows to support strategic decision-making. Highest-signal resume keywords Financial Modeling SaaS Revenue Analysis Advanced Excel / Google Sheets KPI Management Cross-Functional Collaboration Hard Skills Financial Planning & Analysis Driver-Based Modeling Scenario Analysis Data Validation Variance Analysis Cost Management Revenue Forecasting Budgeting Automation in Finance Workflows Documentation of Financial Models Soft Skills Strong Written Communication Organizational Skills Problem-Solving Curiosity for Process Improvement Ability to Manage Competing Priorities Industry Keywords SaaS Subscription Revenue Recurring Revenue Gross Margin CAC LTV Payback Period Pipeline Coverage High-Growth Startup Board Reporting Tools & Technologies Excel Google Sheets Claude Gemini Rillet Ramp HubSpot BambooHR Carta #J-18808-Ljbffr