Bachelor's degree in Business, Finance, Economics, Statistics, another quantitative field, or equivalent practical experience.
7 years of experience in Financial Planning and Analysis (FP&A), consulting, or a related function, or 5 years with a relevant advanced degree.
Experience in manipulating data sets using SQL or another programming/scripting language.
Preferred qualifications:
Experience with Python or similar programming languages, as well as understanding of common statistical and data cleaning methodologies.
Knowledge of advanced analytics techniques and capabilities.
Strong business acumen with an understanding of business drivers and value-creation.
Ability to partner with executive stakeholders to define analysis requirements and priorities, develop and execute strategy, and balance short versus long-term deliverables.
Track record of pushing the boundaries of data and developing novel approaches to shed new light on difficult questions, or collaborating with technical partners to deliver projects leveraging complex, nuanced data.