Data Science/Product Analyst

Job DescriptionJob DescriptionData is core to how ClassDojo makes decisions. As our next senior data scientist, you’ll help build the world's leading consumer education business, one that is already reaching tens of millions of parents, teachers, and children. You’ll help grow ClassDojo to our next major milestone: serving 100 million+ active families, and 100 million+ in revenue, while deepening love for our brand.The data science function at ClassDojo is an equal partner to product, engineering and design. As a senior leader on a high-performing, cross-functional team, you'll shape the team's strategic direction. You'll tackle a broad range of product and business problems: uncovering unique user insights, identifying the right growth strategies in each of the 180+ countries we operate in, identifying and testing critical product improvements, and driving revenue results. You'll also work with co-workers across the company to develop insights that inform strategy and decision-making across our entire business.You can expect talented, motivated, intense and interesting co-workers; the work you'll do will pioneer the future of education.Drive orders of magnitude of growth in ClassDojo's network and revenue growthDesign and analyze product experiments and improvements, working with cross-functional teams to translate insights into actionDefine product strategy and direction, in collaboration with cross-functional peersEmpower teams with the skills and tools to get their own insightsYou might be a good fit if:You have 5+ years experience in a data science or analytics role at a consumer company, ideally with a stint on a high quality growth teamYou have good business judgmentYou have the ability to write structured and efficient SQL queries on large data setsYou have experience designing AB/multivariate tests and drawing actionable conclusionsYou possess strong written and verbal communication skillsYou have intellectual curiosityYou have an inclination to move surprisingly fastBonus:Experience with data pipelines: transforming raw production and external data into user-friendly tables.