Senior Analyst, Corporate Fp&a

Dropbox Dropbox · Enterprise · Canada +1 · Financial Planning and Analysis (Sub Team)

This role is a Senior Analyst, Corporate FP&A at Dropbox. The primary focus is on financial planning and analysis, including forecasting revenue and expenses, synthesizing trends, and providing insights to senior leadership. The role involves partnering with various teams, including Data Science, to improve performance modeling and communication.

What you'd actually do

  1. Drive key aspects of integrated planning and forecasting across revenue and expense, including planning cadence, key assumptions, and executive narrative.
  2. Partner closely with business teams to understand performance drivers, challenge assumptions, and align on a shared view of what is changing in the business and why.
  3. Improve forecast quality by identifying gaps between modeled outputs and business reality, particularly in situations with incomplete or conflicting data.
  4. Surface and frame key tradeoffs, risks, and uncertainties to support decision-making, especially when data is inconclusive or evolving.
  5. Partner with Investor Relations and LRP teams to ensure alignment between internal forecasts, long-range planning, and external messaging.

Skills

Required

  • At least 5+ years of experience in FP&A, corporate finance, or a related field.
  • Strong analytical and financial modeling skills, with experience working on complex, multi-driver models.
  • Ability to interpret data and translate it into clear, decision-oriented insights for stakeholders.
  • Experience partnering with cross-functional teams to understand business performance and drivers.
  • 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.
  • Comfort making judgment calls and forming perspectives in the absence of perfect or complete data.
  • Strong communication skills, including experience contributing to executive-level materials.
  • Comfort working in ambiguity and bringing structure to evolving processes and datasets.
  • Proven ability to operate independently on high-visibility workstreams.

Nice to have

  • 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 with financial planning systems (e.g., Oracle PBCS, Anaplan, Pigment).
  • Experience working with data tools and platforms (e.g., Databricks, Tableau).
  • 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.

What the JD emphasized

  • improve how performance is modeled, interpreted, and communicated
  • connecting and interpreting signals across the full P&L
  • improve forecast quality by identifying gaps between modeled outputs and business reality
  • Surface and frame key tradeoffs, risks, and uncertainties to support decision-making, especially when data is inconclusive or evolving.
  • Ability to interpret data and translate it into clear, decision-oriented insights for stakeholders.
  • 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.
  • Comfort making judgment calls and forming perspectives in the absence of perfect or complete data.
  • Comfort working in ambiguity and bringing structure to evolving processes and datasets.