Senior Analyst, Corporate FP&A

🕒 April 29

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Dropbox

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2007

🏢 Enterprise

⚡ Productivity

Cloud Storage • Enterprise • Productivity

Dropbox is a cloud-based service that provides tools for storing, sharing, and accessing files across devices. It offers features such as document sharing, video review, automatic backups, and AI-driven scheduling. Dropbox also provides solutions for different sectors like teams, sales, marketing, and education, and industries including construction, media, technology, and manufacturing. With a focus on security, Dropbox ensures files are encrypted and protected against tampering. It offers integrations with various productivity tools and is trusted by major companies for efficient file management and collaboration.

📋 Description

• 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.

🎯 Requirements

• 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.