Staff Analytics Engineer

Job Description

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not specified

ClassDojo’s goal is to give every child on Earth an education they love. We started by building a powerful network for communication. ClassDojo’s flagship app is the #1 communication app connecting K-12 teachers, children, and families globally. Teachers use it to share what’s happening throughout the day through photos, videos, and messages that make parents feel like they’re there. It’s actively used in over 95% of US schools, reaching over 45 million children in 180 countries, with a team of just around 200 people [1]. We are now beginning to use this network to give kids the best learning experiences in the world, far beyond those a standard school can provide. We hire for talent density. Our team comprises the most talented, entrepreneurial, and innovative teammates from around the world, with experience in education and large scale consumer internet companies, including Instagram, Lyft, Dropbox, Stripe, Airbnb, Y Combinator, and more. We’re building a company where the most talented people want to work. We believe you’ll do the best work of your life here—and you’ll pioneer the future of education, too.

Requirements

• Experience: 7+ years experience with data / analytics engineering
• Collaboration & Communication:
  • Proven experience owning large-scale data projects that drove significant impact across the company.
  • Ability to effectively partner with engineering, data analysts, data scientists, and other business stakeholders.
• Understanding: Ability to dive deep into understanding the product itself, team roadmaps, technical architecture, and data flow from logging to warehouse.
• Mentorship: Enjoy mentoring other data-savvy stakeholders (Data Science, PM, Eng) on data best practices.

Responsibilities

• Partner and lead across multiple product team functions and domains, driving impact through data vision and architecture.
• Design, implement, and monitor large-scale data warehouses and data marts.
• Create clean fact, dimension, aggregate, and cube tables.
• Expert in SQL, including window functions, STRUCT/ARRAY manipulation, and query optimization.
• Promote performance best practices for tables.
• Share data design ideas in thoughtful design reviews.

Application Instructions

• Not specified. (Further details would be required for a complete application process.)