Staff Analytics Engineer

March 7

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🦌 Connecticut – Remote

Although this job is listed in Connecticut, this company may be open to hiring remote in other states.

+3 more states

🏄 California – Remote 🦌 Connecticut – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $190k - $250k / year

⏰ Full Time

🔴 Lead

📊 Analytics Engineer

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ClassDojo

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ClassDojo is a communication platform that connects teachers, families, and students, facilitating better engagement and collaboration in educational settings. It offers a suite of tools that allow teachers to communicate with parents, share classroom updates, and support students' social-emotional learning. The platform also features a portfolio function that allows students to share their learning progress with their families. It's widely popular, used by millions of students and parents, and supports multilingual communication. ClassDojo is focused on building communities within classrooms, providing resources for teachers, and ensuring privacy and security for all its users.

51 - 200 employees

Founded 2011

📚 Education

🌍 Social Impact

💰 $125M Series D on 2022-07

📋 Description

• 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. 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. • We are seeking a Staff Analytics Engineer to join our Data Science and Analytics team. The ideal candidate will possess a passion for education and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

🎯 Requirements

• 7+ years experience with data / analytics engineering • You have owned large-scale data projects that drove significant impact across the company • You are an effective partner with engineering, data analysts, data scientists, and other business stakeholders. • You dive deep into understanding the product itself, team roadmaps, technical architecture, and data flow from logging to warehouse. You ask questions and unblock yourself in truly owning your project scope. • You enjoy mentoring other data-savvy stakeholders (Data Science, PM, Eng) on data best practices • You live and breathe schema design (whether it's Snowflake, Star, or Data Vault 2.0) and sharing your ideas in thoughtful design reviews • You have a deep love of creating clean fact, dimension, aggregate, cube tables and get excited about tracking their downstream usage and feedback • You have led the design, implementation, and monitoring of large scale data warehouses and data marts that enable clear product-focused insights • You are an expert at SQL and are very comfortable writing window functions, STRUCT/ARRAY manipulation, and query optimization • You adhere to and promote performance best practices for your tables depending on the database engine (partitions, sort keys, dist keys, clustering, incremental modeling) • You have a passion for data cataloging and metadata management tools to document data assets and ensure data lineage • You live by data governance principles, including data classification, data ownership, and data stewardship • You design systems with a test-driven approach in mind to trap bad quality data or highlight alerts as part of your data flow • Familiarity with ETL (Extract, Transform, Load) processes and tools to prepare and clean data for analysis • Skill in using tools like dbt to build data transformation pipelines • You love working with SQL frameworks like dbt to cleanly abstract model code from implementation • You are an Airflow expert and digging into DAG failures and optimizing task run times excites you • You are passionate about data governance and how we can apply principles like least-privilege access, retention policies, and data minimization at scale • You are a continuous learner. Staying current in the latest trends and technologies in data analytics and educational technology is no easy feat . You will have the opportunity to lead initiatives to experiment with new data sources, data warehouses, analytics methodologies, and technologies to enhance our analytics capabilities and drive innovation within the company.