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FP&A Analyst
Tiger Data · United States
About The Role
Join Tiger Data as an FP&A Analyst, where you will play a crucial role in driving financial planning and analysis for our fast-growing business. You will be responsible for headcount planning, cost of goods sold analysis, marketing spend evaluation, and preparing executive materials for our leadership team and Board. This is a builder role for someone with strong FP&A experience who is energized by creating structure in an evolving environment. Enjoy flexible PTO, professional development benefits, fully remote work, and more.
- Ownership of planning and analysis across headcount, cost of goods sold, marketing spend, and recurring forecast updates.
- Preparation of recurring financial slides, executive materials, and written performance updates that explain what changed, why it changed, and what requires attention.
- Improvement of recurring FP&A processes, templates, and reporting workflows so the finance organization can operate with greater speed and consistency.
- Can move from financial data to a clear written explanation of business performance
- Have strong spreadsheet and financial modeling skills and are comfortable working with large or imperfect datasets
- Are curious about how AI can improve finance workflows and have demonstrated sound judgment in applying AI tools to analytical work
- Are comfortable partnering directly with department leaders and asking thoughtful questions when assumptions or spending plans do not make sense
- Can independently manage recurring financial processes and produce accurate work with limited supervision
- Believe that organizations are best when they’re diverse and inclusive, and you’re committed to ensuring that everything we do at Tiger Data reflects this belief
- Have a strong sense of intellectual curiosity and constantly find yourself asking “why” rather than simply reporting the numbers
- Have strong FP&A experience, including forecasting, headcount planning, budget management, and variance analysis
- Care deeply about data integrity and will investigate a number that looks wrong rather than simply passing it along
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