Conduct data analysis to make product recommendations (feature prioritization, user growth, product quality, etc).

Deliver effective presentations of findings and recommendations to multiple levels of stakeholders, and creating visual displays of quantitative information.

Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for investigative needs.

Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations.

Develop comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both products and sales activity, as well as external marketing spend trends.

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

5 years of experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 years of experience with a Master's degree.