FP&A Analyst
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Job Description
FP&A Analyst role at Nylas focusing on financial modeling and execution. Utilizing AI for enhanced productivity in financial planning and analysis.
Responsibilities:
- The work spans the full breadth of FP&A at a high-growth SaaS company:
- ARR and revenue modeling: maintaining driver-based ARR forecast models, platform and product-level forecasting, and preparing data for system uploads
- Working capital and cash flow: building and maintaining dynamic working capital forecasts that tie to operational assumptions
- Customer and cohort analytics: ARR trending by customer segment, churn and expansion analysis, and retention metrics
- Variance analysis: budget vs. actual, period-over-period, and narrative commentary for exec and board audiences
- Ad hoc executive support: rapid-turnaround analyses and summary documents when leadership needs answers fast.
Requirements:
- 2-4 years of experience in SaaS FP&A, preferably with experience working on the three statements.
- Strong foundational knowledge of finance and accounting principles, with experience in forecasting, budgeting, and financial modeling.
- Advanced Excel / Google Sheets — complex financial models, dynamic formula logic, structured data ranges, named ranges, and cross-sheet architecture
- Proficient with AI tools for knowledge work — you actively use tools like Claude, ChatGPT, Copilot, or similar to build models, draft analysis, summarize documents, reformat outputs, and think through problems.
- Analytical and Critical Thinking Skills: You can work backward from a business question to a model structure.
- Clear, concise written communication. You can turn a model into a one-page executive summary without losing the substance.
- Resourceful by default - when you hit a wall, you find a way around it.
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