Workspace is looking to grow its customer base and identify opportunities to increase business by leveraging data-driven insights to inform product strategy and decision-making.
Requirements
performing statistical analysis
coding (e.g., Python, R, SQL)
Responsibilities
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.
Apply technical expertise with observational data analysis, modeling or causal inference to answer the most important product questions.
Partner with Product, Engineering, 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.
Other
8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree.
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
Sunnyvale, CA, USA; Kirkland, WA, USA; New York, NY, USA
