Financial Analyst

About The Role

The Financial Analyst owns forecasting, variance analysis, and financial modeling for a high-growth technology business. This role builds the budgets, driver-based projections, and monthly reporting that leadership uses to allocate capital and manage the P&L.

Working across accounting, FP&A, and compliance, the analyst ensures reporting is accurate under US GAAP, supports SOX control testing, and delivers the analysis behind board-level decisions. This is a hands-on role with direct visibility into how the business runs.

Key Responsibilities

Build and maintain driver-based financial models and forecasts in Excel and NetSuite, updating monthly against actuals Own monthly variance analysis across revenue, opex, and headcount, delivering commentary to finance leadership within close deadlines Prepare GAAP-compliant reporting packages, reconciliations, and supporting schedules for quarterly and annual close Support SOX compliance by documenting key controls, coordinating walkthroughs, and remediating deficiencies with internal audit Analyze unit economics, SaaS metrics (ARR, NRR, CAC payback), and margin trends to inform pricing and spend decisions Partner with accounting managers and compliance analysts to streamline close processes and automate reporting Present findings and recommendations to senior finance leadership, including board-ready summaries What We Are Looking For 3-6 years of experience in FP&A, financial analysis, or public accounting (audit or advisory) Bachelor's degree in Finance, Accounting, or Economics; CPA or CMA preferred Deep working knowledge of US GAAP and exposure to SOX controls and SEC reporting requirements Advanced Excel skills (complex modeling, pivot tables, INDEX/MATCH); experience with NetSuite, Workday, or similar ERP Strong SQL or Power BI/Tableau skills for pulling and visualizing data independently Ability to manage close deadlines, work with incomplete data, and communicate findings clearly to non-finance stakeholders Bonus: Experience at a venture-backed or publicly traded technology company; familiarity with ASC 606 revenue recognition; Python or advanced BI automation