Senior Analyst, Corporate FP&A
Dropbox
Use the employer link to read the full source listing and submit your application.
Listing data may include public employer ATS feeds and Jobs by Adzuna.
Before you apply
The decision-making details job seekers want first
We pulled the strongest signals from the listing so you can quickly judge fit, compensation, and what the company expects before opening the full source post.
Compensation
Salary & market context
55% above the BLS national median
BLS national median: $74,680
- n
- US Zone 1
- This role is not available in Zone 1
Requirements
Top requirements
- s
- 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.
Perks & setup
Work setup
- Remote
- Senior level
- Posted 4w ago
Start here
Requirements
- s
- 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.
Responsibilities
What you'll do
- s
- Drive key aspects of integrated planning and forecasting across revenue and expense, including planning cadence, key assumptions, and executive narrative.
- 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.
- Improve forecast quality by identifying gaps between modeled outputs and business reality, particularly in situations with incomplete or conflicting data.
- Surface and frame key tradeoffs, risks, and uncertainties to support decision-making, especially when data is inconclusive or evolving.
- Partner with Investor Relations and LRP teams to ensure alignment between internal forecasts, long-range planning, and external messaging.
- Help create and continuously uplevel corporate materials, ensuring clear, consistent, and decision-oriented communication.
- Collaborate across Data Science, Accounting, Treasury/Tax, and FP&A to ensure data accuracy, consistency, and a cohesive view of performance across the CFO organization.
Role snapshot
About the role
Role Description
This is a high-impact corporate finance role with direct exposure to senior leadership and company-wide decision-making. The role sits at the center of Dropbox’s corporate finance function, offering a unique, end-to-end view of the P&L and a cross-company perspective on how the business operates across revenue and expense.
Operating as a generalist, you will contribute to and help operationalize topline forecasting in close partnership with revenue finance leadership, support expense planning and consolidation, and synthesize trends across the company—translating business signals into decision-ready forecasts and insights for senior leadership.
You will partner closely with FP&A partner teams, Data Systems, and Data Science to improve how performance is modeled, interpreted, and communicated, with the goal of providing leadership with earlier visibility into trends, risks, and tradeoffs. This role focuses on connecting and interpreting signals across the full P&L, ensuring forecasts translate into clear, actionable insights for decision-making.
More detail
Nice to have
- s
- 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.
Source text