Support productivity analysis and modeling across GTM and Engineering, leveraging key productivity metrics (e.g., CAC payback, R&D spend) to optimize global talent distribution and evaluate internal AI efficiency gains.
Minimum qualifications
Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.
4 years of experience in financial planning and analysis (FP&A), consulting, or a related function.
Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting.
Experience with programming (i.e. SQL).
Preferred qualifications
7 years of financial planning and analysis, corporate finance, strategy, or workforce planning experience, with expertise managing enterprise-scale goals payroll budgets and large global workforces.
Experience designing complex workforce strategies, structuring large headcount datasets, and delivering talent recommendations to executives.
Experience developing strategies in a changing engaged environments with impeccable business judgment for resource allocation.
Experience with building data infrastructure (e.g., designing data schemas, building pipelines, implementing scalable monitoring) and implementing reporting solutions (SQL, PLX, Looker, Tableau).
Strong communication skills with the ability to work cross-functionally across a wide variety of departments, take complete project ownership, set clear objectives, and drive results.
Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.
4 years of experience in financial planning and analysis (FP&A), consulting, or a related function.
Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting.
Experience with programming (i.e. SQL).