Senior Analyst, Corporate & Revenue FP&A

Dropbox is seeking an experienced Senior Analyst to drive forecasting, analysis, and strategic insights across revenue-related metrics. This role sits within Corporate Finance and partners closely with Revenue FP&A and cross-functional stakeholders to deliver a unified, high-quality view of business performance and outlook.

This is a highly dynamic role with significant ownership over complex, high-impact areas. The ideal candidate will drive forecast rigor, improve processes, and influence decision-making across Finance and business leadership.

• Own forecasting across revenue-related metrics, including billings, revenue, NNPU, ARPU, merchant fees, and contra revenue items, leveraging NNARR and upstream inputs and maintaining methodologies that translate bookings into revenue (cohorting, ramp, retention, and revenue recognition timing)
• Support guidance and executive communication by partnering with Investor Relations and Corporate Finance leadership, developing forecasts and scenarios, and translating analyses into clear narratives for senior stakeholders
• Drive insight and decision support by analyzing key drivers across billings and revenue metrics to identify risks and opportunities and providing a centralized financial perspective for strategic decisions and investment trade-offs
• Partner across Finance and business teams, aligning with Revenue FP&A and collaborating with Accounting, Tax, Treasury, LRP, Corporate FP&A, Finance Systems, and business teams to ensure consistency in assumptions, reporting, and financial narratives
• Improve forecasting processes and systems by driving initiatives that enhance accuracy, scalability, and efficiency and partnering with Analytics, Business Platform, and IT to improve data quality and tooling
• Contribute to Finance excellence by ensuring consistency in forecasting methodologies and elevating analytical rigor and standards across the organization

• At least 8+ years of experience in FP&A or Corporate Finance, with a focus on forecasting and revenue-related metrics
• Deep experience with SaaS models and operating metrics, including how NNARR informs billings and revenue
• Strong understanding of revenue mechanics, including revenue waterfall, deferred revenue, merchant fees, contra revenue, and revenue recognition timing
• Advanced Excel and modeling skills; experience with BI and data tools (e.g., Tableau, Databricks, Oracle Financials)
• Proven ability to independently own complex forecasting areas and ambiguous, high-impact projects
• Strong communication, storytelling, and cross-functional influence skills