Accounting fluency. You understand how the GL works, how accruals flow through the financials, and how actuals are produced. You can bridge the close process and the planning process without someone translating for you.
Financial modeling depth. You can build clean, auditable, driver-based models from scratch in Excel or Google Sheets.
Data fluency. You can pull, clean, and work with data from multiple systems, including ERP, BI tools, and CRM exports.
Clear communication. You can turn variance analysis into insight, not just a table. You frame findings in terms of business impact, next steps, and audience needs.
1–3 years of experience in FP&A, strategic finance, investment banking, or a related analytical role.
Familiarity with SaaS metrics such as ARR, NRR, CAC, and payback period, or a strong desire to learn them quickly.
Comfort working in an environment where planning complexity is growing faster than the team.
Curiosity about AI and developer tooling. You do not need a CS degree, but you should be genuinely interested in how the technology works and how it shapes demand.