gitlab

FP&A Analyst, Marketing

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At a Glance

Location
US
Work Regime
remote
Posted
2026-02-12T10:20:44-05:00

Key Requirements

Required Skills

Data AnalysisExcel

Certifications

  • CFA
  • CPA

Domain Knowledge

  • Accounting
  • Education
  • Finance
  • Medical

Requirements

Experience as an FP&A Analyst or in a similar Finance role, with a focus on forecasting, budgeting, and performance analysis for revenue-generating teams.

GTM Business Partnership: Translate financial insights into actionable recommendations for cross-functional GTM stakeholders; evaluate investment decisions through ROI analysis.

Accounting Foundations: Ability to navigate through the three financial statements in detail and partner with Accounting during the monthly close process.

Financial Modeling: Be able to understand and update financial models that follow industry best practices. Experience in Google sheets (we do not use excel for modeling purposes).

Data Analysis and continuous learning: A passion for understanding business questions, staying current on industry trends and tools, and making data driven insights. Excellent analytical skills.

Communication: Ability to present financial data concisely using detailed reports and charts and through written and oral communication.

Responsibilities

Build, maintain, and enhance Google Sheets-based Marketing P&L models to forecast headcount investments, bookings, revenue, and margin performance, enabling accurate short- and long-range planning.

Lead quarterly business reviews, monthly forecast cycles, and annual planning for Marketing, delivering clear insights on performance versus plan and actionable recommendations for leadership.

Partner with Accounting during month-end close to validate accruals, reconcile key variances, and prepare concise variance commentary that explains performance drivers for Marketing leaders.

Communicate financial performance, risks, and opportunities to FP&A leadership and Marketing managers/directors through clear reports and presentations that support data-driven decisions.

Manage your workstream with guidance from senior team members as needed, prioritizing deliverables and proactively escalating risks to ensure deadlines for forecasts, close activities, and reporting are consistently met.