Senior Financial Analyst

Jobtailor

Denver (CO)

On-site

USD 90,000 - 140,000

Full time

3 days ago

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Job summary

Jobtailor in Denver is seeking an experienced FP&A professional to own the go-to-market and revenue forecast in a fast-growing SaaS environment. You will build driver-based models for ARR/MRR, churn, CAC, LTV, and payback, and partner with Sales and Revenue Operations to align targets.

You will deliver monthly variance narratives, maintain KPI framework, and present insights to leadership. The role requires 3 days on-site in Denver and a strong background in financial modeling, automation, and

Qualifications

Bachelor's degree in finance, accounting, economics, or related field.
3–5 years of progressive FP&A, corporate finance, or strategic finance experience with forecast ownership.
Experience in a SaaS or recurring-revenue business with ARR/MRR, churn, CAC, LTV, payback, and pipeline coverage.
Experience partnering cross-functionally with sales, marketing, or revenue operations.
Advanced Excel / Google Sheets with driver-based modeling and large data manipulation.
Ability to build a reusable, versioned, documented model.
Strong written communication; explain variance succinctly to non-finance stakeholders.
Experience applying automation in finance workflows and AI-assisted analysis.
Comfort building frameworks for undefined problems and driving clarity.
Excellent organizational skills and ability to juggle priorities.
Willingness to work 3 days per week on-site in Denver.

Responsibilities

Build and maintain 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 investments, pipeline conversion, and channel returns.
Prepare variance narratives and explain drivers for monthly results.
Define and maintain the KPI framework including ARR, MRR, NRR, churn, CAC, LTV, payback period, and coverage.
Present metrics and interpretation to leadership on a regular cadence.
Track performance against SaaS peer benchmarks and drive data-informed decisions.
Build and maintain driver-based models for subscription revenue, hosting costs, and integrations.

Skills

Financial modeling

SaaS Revenue Analysis

Advanced Excel/Google Sheets

KPI Management

Cross-Functional Collaboration

Automation in Finance Workflows

Data Validation

Scenario Analysis

Revenue Forecasting

Board Reporting

Education

Bachelor's degree in finance, accounting, economics, or related field

Tools

Claude

Gemini

Rillet

Ramp

HubSpot

BambooHR

Carta

Excel

Google Sheets

Job description

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.

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