Senior Corporate FP&A Analyst

About the role

Join Dropbox as a Senior Corporate FP&A Analyst, a high-impact role with direct exposure to senior leadership and company-wide decision-making. You will contribute to topline forecasting, support expense planning and consolidation, and synthesize trends across the company. This role offers a unique, end-to-end view of the P&L and a cross-company perspective on business operations. You will partner closely with FP&A partner teams, Data Systems, and Data Science to improve performance modeling and communication. Over time, the role will expand into deeper strategic exposure and influence on corporate planning and executive-level communication. Key missions: Contribuer à la prévision des revenus et à la planification des dépenses, en partenariat avec les équipes de direction.. Améliorer la qualité des prévisions en identifiant les lacunes entre les résultats modélisés et la réalité commerciale.. Collaborer avec les équipes interfonctionnelles pour comprendre les performances commerciales et les moteurs de performance. Profile: - Comfort making judgment calls and forming perspectives in the absence of perfect or complete data - Ability to explain variances, challenge assumptions, and reconcile differences between data, models, and business performance, including forming a clear point of view when they diverge - Proven ability to operate independently on high-visibility workstreams - At least 5+ years of experience in FP&A, corporate finance, or a related field - Experience partnering with cross-functional teams to understand business performance and drivers - Ability to interpret data and translate it into clear, decision-oriented insights for stakeholders - Strong communication skills, including experience contributing to executive-level materials - Comfort working in ambiguity and bringing structure to evolving processes and datasets - Preferred Qualifications - Strong analytical and financial modeling skills, with experience working on complex, multi-driver models - Experience with SaaS business models and key metrics (e.g., NNPU, ARPU, billings, revenue, NRR) - Familiarity with revenue forecasting concepts, including cohort behavior and revenue timing - Experience working with data tools and platforms (e.g., Databricks, Tableau) - Experience with financial planning systems (e.g., Oracle PBCS, Anaplan, Pigment) - Exposure to Investor Relations, long-range planning (LRP), or corporate reporting processes - Interest in building and scaling topline forecasting systems and connecting them to expense planning