About the job
At ClassDojo, we are driven by a singular mission: to ensure every child on Earth receives an education they truly love.
We began by creating a robust communication network. Our flagship app is recognized as the leading communication tool connecting K-12 teachers, students, and families worldwide. Teachers utilize ClassDojo to share daily classroom activities through photos, videos, and messages, making parents feel engaged in their child's learning journey. Currently, our app is actively utilized in over 95% of U. S. schools, impacting over 45 million students in 180 countries, supported by a dedicated team of around 200 professionals.
We prioritize talent density, bringing together some of the most skilled, entrepreneurial, and innovative individuals from across the globe, with backgrounds in education and major consumer internet companies like Instagram, Netflix, Dropbox, Stripe, Uber, and Y Combinator. Our aim is to cultivate an environment where top talents aspire to work, helping them achieve their best work while shaping the future of education.
Your Role:
We are on the lookout for a Staff Analytics Engineer to take charge of and enhance our analytics data layer, ensuring that all teams at ClassDojo can access high-quality, trustworthy data for informed decision-making. This role is both foundational and visionary. Initially, you will manage essential data models, enhance data quality, and ensure consistency across key metrics. Over time, you will significantly influence the evolution of analytics at ClassDojo by introducing AI-assisted processes and facilitating quicker, more intuitive access to insights.
You will collaborate closely with product, engineering, and data stakeholders to define and maintain the datasets that drive decision-making. You will also identify opportunities to amplify impact through superior models, enhanced tools, and AI-driven capabilities. This position is perfect for someone eager not only to create reliable data systems but also to innovate how teams engage with data in an AI-driven future.
Your Responsibilities:
Take ownership of core data models that drive product and business insights.
Enhance data quality, consistency, and trust across key datasets and metrics.
Design scalable, well-structured data models that empower self-service analytics.
Implement and operationalize AI-assisted workflows to speed up insight generation.
Identify inefficiencies and develop tools or processes to enhance analytics effectiveness.
