automatiq - FP&A Analyst
Requirements
• 2–5 years in FP&A, strategic finance, consulting, or analytics • Strong foundation across both cost management and revenue analysis • Experience with forecasting, BvA, and financial modeling • Ability to connect financial insights to business decisions, ROI, and capital allocation • Advanced Excel / Google Sheets skills (SQL / BI tools a plus) • Familiarity with AI tools for finance, automation, or analysis is a plus • Comfortable working across multiple stakeholders and shifting priorities • Strong problem-solving mindset and attention to detail • Experience in SaaS, marketplace, fintech, or transaction-based business preferred • ## What Success Looks Like • Finance is faster, more accurate, and more actionable • Leadership has clear visibility into ROI, capital allocation, and growth efficiency • Headcount and spend decisions become more disciplined and predictable • Revenue insights drive better GTM prioritization and monetization • Finance operates as a proactive, data-driven decision partner • You become a trusted resource across the business — not just within Finance
Responsibilities
• Core Finance & Planning • Improve reporting, forecasting accuracy, and planning processes • Build and maintain company-wide OKR metrics and monthly reporting • Help standardize and scale finance processes and data infrastructure • Operational Cost & Headcount Planning • Support expense management and improve cost visibility across teams • Maintain and track company-wide headcount and hiring plans • Build models linking staffing to business activity and output • Identify cost optimization opportunities and efficiency gains • Revenue & Marketplace Analytics • Analyze GOV, revenue, and take-rate trends across products and segments • Evaluate customer behavior, cohort performance, and expansion opportunities • Partner with GTM teams on pipeline quality, forecasting, and monetization • Strategic Finance & Capital Allocation • Build models to evaluate ROI, payback, and investment decisions • Partner with leaders to guide data-driven decision-making • Support vendor decisions, resource allocation, and strategic initiatives • Contribute to board materials and leadership reporting
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