Senior Financial Analyst (GTM)
Human Interest
full-remoteseniorpermanentfinance Full remote - New York, US Today via WTTJ
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FP&AExcelFinancial ModelingVariance AnalysisGo-to-Market FinanceSaaS MetricsARRNetSuitePigmentSQL
About the role
Role Overview
As a Senior Financial Analyst (GTM), you’ll support the Go-to-Market (GTM) Finance function by building financial models, improving forecasting accuracy, and partnering with GTM leaders to drive spend accountability and business performance.
Key Responsibilities
- Modeling & Forecasting: Design, build, and maintain financial models for GTM operating expenses, including sales & marketing spend, headcount, compensation, commissions, and revenue share.
- Variance Analysis: Own budget-to-actual variance analysis, identify root causes, and translate findings into actionable insights for leadership.
- Business Partnering: Partner with GTM leaders/teams to own budgets and headcount plans, drive spend accountability, and provide ad hoc analysis and budget support.
- Data-Driven Optimization: Provide insights to optimize sales and marketing efficiency.
- Automation & Reporting: Automate core processes to support a single source of truth for financial reporting.
Requirements
- Excel strength and ability to build robust financial models.
- 3+ years of progressive FP&A experience, ideally in high-growth SaaS or FinTech.
- Strong attention to detail and accuracy.
- Excellent communication skills; ability to collaborate across functions and levels.
- Comfortable working with ambiguity and balancing multiple priorities in a fast-paced environment.
- Deep understanding of SaaS metrics and how they flow into the P&L (e.g., ARR, Churn, LTV/CAC, NRR).
- Ability to derive insights from large datasets.
Nice to Have
- Familiarity with NetSuite and Pigment.
- SQL experience.
About Human Interest
Human Interest is a high-growth company focused on helping Americans save for their future. It operates in the fintech/financial services space, supporting go-to-market finance and analytics to improve revenue and efficiency through data-driven decision-making.
Scraped 8/1/2026