FP&A Analyst

Overview

This role supports financial planning, forecasting, and decision-making through strong financial modeling and hands-on business partnering, with a focus on GTM finance. Responsibilities include analyzing bookings, ARR, pipeline, and operating efficiency, partnering cross-functionally with Sales, Marketing, and RevOps, and contributing to consolidated financial reporting.

Responsibilities

• Build and maintain detailed financial models supporting bookings, ARR, revenue recognition, and scenario analysis.
• Own department-level budget models for GTM functions, including headcount planning, compensation modeling, and OpEx tracking.
• Support the annual operating plan (AOP) and monthly/quarterly forecasting processes end-to-end.
• Analyze actuals vs. forecast and prepare clear, concise variance explanations for internal and external stakeholders.
• Serve as the primary FP&A partner for GTM functions (Sales, Marketing, RevOps).
• Partner with GTM leaders to evaluate investments, trade-offs, and growth initiatives using data-driven and market-based analysis.
• Develop and maintain GTM-specific KPIs, including pipeline coverage, CAC, LTV, payback period, NRR, and churn.
• Help standardize SaaS and GTM metric definitions and reporting across the organization.
• Prepare monthly management reporting packages and contribute to executive- and Board-level materials.
• Translate financial results and forecasts into clear narratives for non-finance audiences.
• Respond to ad hoc analytical requests from senior leadership with speed and accuracy.

Requirements

• 3–5 years of experience in FP&A, corporate finance, investment banking, or related fields.
• Strong command of SaaS financial metrics and models, including ARR, NRR, churn, CAC, LTV, pipeline coverage, and payback period.
• Advanced Excel and financial modeling skills; comfort working with large, complex datasets.
• Experience partnering cross-functionally with Sales, Marketing, or RevOps.
• Ability to synthesize complex data into clear, actionable insights and present findings to senior stakeholders.
• Strong written and verbal communication skills; regularly contributes to Board and executive-level materials.
• Comfortable operating independently in a lean, fast-paced, high-growth environment with shifting priorities.
• Demonstrated interest in emerging AI technologies and their application within FP&A to drive operational efficiency and support scalable reporting frameworks.
• Experience in a VC or PE-backed, post-acquisition, or similarly high-accountability environment is preferred.
• SaaS + hardware or SaaS + professional services revenue model experience is an advantage.
• Familiarity with OT/ICS, cybersecurity, or enterprise technology industries desirable.
• Experience with BI tools such as Power BI advantageous.
• CRM familiarity, particularly Salesforce, in a RevOps or GTM finance context preferred.
• Experience with FP&A planning tools such as Pigment is ideal.

Compensation & Benefits

• Base pay scale: $97,953 - $125,588.
  • This is the range the employer reasonably and in good faith expects to pay for the position taking into account factors including job-related knowledge, skillset, experience, education and training, certifications, and other relevant business factors. Applications outside the range are welcome.
• Additional compensation and benefits: medical, dental, vision, life insurance, and disability insurance for eligible employees.
• Eligible employees may also participate in an equity program and/or variable bonus program, subject to the rules governing such programs.
• Eligible employees can enroll in a 401(k) plan with an employer matching program.
• Flexible paid time off, paid holidays, and paid parental leave.

Location

Remote-first role in an internationally distributed, async-friendly, cross-functional environment (collaboration across time zones; supports consolidated financial reporting and parent company deliverables).

Additional Information

• Successful candidates will be subjected to background verification checks.
• Applicants should be cautious of unsolicited messages, fake email addresses, requests for money, and unclear job descriptions.