As a Senior Financial Analyst (Corporate FP&A), you will turn data into decisions across our planning engine. Partnering with GTM Finance (bookings and pricing/mix), Finance Business Partners-Operations (capacity/throughput and unit cost), and Customer Success (retention/expansion), you will shape a single, trusted view for leadership. Your work sharpens forecast accuracy, shortens close-to-outlook cycle time, and elevates CFO/Board narratives with clear "so what / now what" insights. We're looking for a systems-savvy analyst who blends rigorous modeling with crisp storytelling and disciplined data hygiene. If you enjoy building driver-based models, pressure-testing scenarios, and partnering cross-functionally to turn variance into action, we'd love to hear from you. The Gig You will build and maintain driver-based model modules for Plan , monthly rolling outlook, and scenario/sensitivity analyses that connect operating levers (pipeline, backlog throughput, hiring, unit cost) to revenue, gross margin, EBITDA, cash, and working capital. You will prepare monthly variance bridges (price/volume/mix/timing) and partner with Revenue Planning on ARR and revenue roll-forwards, ensuring outputs land cleanly in the integrated 3-statement model. You will develop and automate the standard report pack and executive dashboards in EPM/BI, aligned to the enterprise KPI dictionary and master-data policy governed by Corporate FP&A. You will consolidate inputs from GTM Finance, FBP Operations, RevOps into a single forecast; you will surface risks/opportunities and recommend actions with owners and dates. You will support long-range planning and capital allocation with scenario packs, liquidity views, and covenant/headroom tracking in coordination with the broader FP&A team. You will contribute to M&A by preparing diligence-ready schedules (ARR/NRR cohorts, revenue waterfalls, run-rate opex, unit economics) and assisting with pro-forma and purchase-accounting planning impacts in partnership with Accounting and Corporate Development. You will uphold data governance by stewarding KPI definitions and mapping tables (COA, cost centers, product tags, CRM stage definitions), reconciling CRM/EPM/ERP views, and running data-quality checks with EPM/Data teams.
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Job Type
Full-time
Career Level
Mid Level
Industry
Publishing Industries
Number of Employees
1,001-5,000 employees