Define, own and evolve product success metrics. Report, analyze and forecast trends of key product metrics and make recommendations to improve them.

Lead the design, analysis, and interpretation of product experiments. Proactively perform data exploration to understand user behavior and identify opportunities for improving and growing Workspace products.

Apply technical expertise with observational data analysis, modeling, and causal inference to answer the most important product questions.

Partner with Product, Engineering, UX and cross-functional teams to influence, prioritize and support product strategy.

Deliver effective presentations of data-driven insights and recommendations to multiple levels of stakeholders.

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years of experience with a Master's degree.