Senior Analyst, Corporate FP&A

DropboxDropbox·Remote(Canada)
Data & Analytics

WFA Digital Insight

The demand for skilled financial analysts in the remote job market has grown exponentially, with a 25% increase in job postings over the past year. As companies like Dropbox continue to expand their remote teams, professionals with expertise in digital finance tools and data analysis are in high demand. With the rapid evolution of the digital landscape, corporations are seeking talented individuals who can provide actionable insights to drive business decisions. Before applying, candidates should be aware of the importance of strong communication skills, the ability to work independently, and the capacity to interpret complex data sets.

Job Description

About the Role

As a Senior Analyst, Corporate FP&A at Dropbox, you will be at the forefront of the company's financial decision-making process. Your expertise will be crucial in developing forecasts and insights that drive business strategy. You will be working closely with cross-functional teams, including revenue finance leadership, data systems, and data science, to provide a comprehensive view of the company's performance.

The role of a Senior Analyst, Corporate FP&A is multifaceted and requires a deep understanding of financial modeling, data analysis, and business operations. You will be responsible for identifying trends, challenges, and opportunities, and providing recommendations to senior leadership. Your work will have a direct impact on the company's growth and success.

What You Will Do

  • Develop and maintain complex financial models to forecast revenue and expenses
  • Collaborate with revenue finance leadership to create and refine topline forecasting systems
  • Analyze data to identify trends, risks, and opportunities, and provide insights to senior leadership
  • Partner with cross-functional teams to develop and implement business strategies
  • Create and present executive-level materials, including dashboards, reports, and presentations
  • Identify and mitigate financial risks, and develop strategies to optimize financial performance
  • Develop and maintain relationships with stakeholders, including business teams, data science, and investor relations
  • Stay up-to-date with industry trends and developments, and apply this knowledge to improve forecasting and analysis
  • Develop and implement processes to improve data quality, accuracy, and consistency
  • Collaborate with data science and data systems teams to develop and implement new tools and technologies

What We Are Looking For

  • 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
  • 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
  • Experience with financial planning systems, such as Oracle PBCS, Anaplan, or Pigment
  • Familiarity with data tools and platforms, such as Databricks, Tableau, or similar technologies

Nice to Have

  • Experience with SaaS business models and key metrics, such as NNPU, ARPU, billings, revenue, and NRR
  • Familiarity with revenue forecasting concepts, including cohort behavior and revenue timing
  • Experience working with investor relations, long-range planning, or corporate reporting processes
  • Interest in building and scaling topline forecasting systems and connecting them to expense planning
  • Knowledge of data science and machine learning concepts, and experience working with data science teams

Benefits and Perks

  • Competitive salary and benefits package
  • Opportunity to work with a talented and experienced team
  • Collaborative and dynamic work environment
  • Professional development and growth opportunities
  • Flexible work arrangements, including remote work options
  • Access to cutting-edge tools and technologies
  • Comprehensive health and wellness programs
  • Generous paid time off and vacation policy

How to Stand Out

  • Develop a strong understanding of financial modeling and data analysis, and be prepared to provide examples of your work
  • Highlight your experience working with cross-functional teams and your ability to communicate complex ideas to non-technical stakeholders
  • Be prepared to discuss your experience with financial planning systems and data tools, and how you have used them to drive business decisions
  • Showcase your ability to work independently and operate in ambiguity, and provide examples of times when you have brought structure to evolving processes and datasets
  • Research the company and the role, and be prepared to discuss how your skills and experience align with the company's goals and objectives
  • Practice your presentation skills, as you will be expected to create and present executive-level materials
  • Be prepared to discuss your experience with data science and machine learning concepts, and how you have applied them to drive business insights

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