• Perform large-scale hypothesis testing and statistical analysis to find which solution will bring the best results; including AB and multivariate testing, and pre/post or difference-in-difference analysis • Participate in a product team ‘squad’ and advise on hypothesis design, primary success metrics, and secondary metrics, which could inform deeper learning or future iterations of a feature • Collaborate with product to set up analytics tracking necessary to get them the insights that they need • Be the last line of defense as we sanity-check variants and test setup • Create clear and easy-to-understand analysis and recommendations • Develop solutions for communicating data across various stakeholders by leading requirements collection, metrics definition, data extraction and manipulation, design of dashboards and ad hoc reports • Partner with product leadership to solve business problems and identify trends for growth opportunities (i.e. suggest new analyses, experiments, user cohorts) • Most importantly, be a trusted partner to our product managers and help them succeed in their mission to improve our product