Staff Analytics Engineer

classdojo· Data Science
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🌍 Remote📍 RemoteFullTime

About this role

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, Netflix, Dropbox, Stripe, Uber, 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.

The Role:

We are hiring a Staff Analytics Engineer to own and evolve our analytics data layer, ensuring that teams across ClassDojo can rely on high-quality, trusted data to make decisions. This role is both foundational and forward-looking. In the near term, you will take ownership of core data models, improve data quality, and ensure consistency across key metrics. Over time, you will play a critical role in shaping how analytics evolves at ClassDojo — introducing AI-assisted workflows and enabling faster, more intuitive access to insights.

You will partner closely with product, engineering, and data stakeholders to define and maintain the datasets that power decision-making. You will also identify opportunities to increase leverage — through better models, improved tooling, and AI-driven capabilities. This is a high-impact role for someone who is excited not just to build reliable data systems, but to rethink how teams interact with data in an AI-enabled future.

What you’ll do:

  • Own and maintain core data models that power product and business insights

  • Improve data quality, consistency, and trust across key datasets and metrics

  • Design scalable, well-structured data models that enable self-serve analytics

  • Introduce and operationalize AI-assisted workflows to accelerate insight generation

  • Identify inefficiencies and build tools or processes to improve analytics velocity

  • Partner with stakeholders to translate business questions into reliable data solutions

  • Contribute to the evolution of analytics practices and standards across the company

We’re looking for someone who combines strong technical fundamentals with a forward-looking mindset.

You will be a match if:

  • Have strong experience in analytics engineering, data modeling, and SQL

  • Take ownership of data quality and care deeply about accuracy and consistency

  • Think of datasets and metrics as products that require maintenance and stewardship

  • Are excited about applying AI to improve analytics workflows and insight generation

  • Have a builder mindset and proactively improve systems and processes

  • Can design scalable, maintainable data models and standards

  • Communicate clearly with both technical and non-technical stakeholders

[1] Some more context:

(If you are on LinkedIn, you will not be able to access the hyperlinks below. Once you click apply, you will be directed to our career website (if you are not on there already) and will be able to access the hyperlinks)

Click here if you're interested in learning more about what we've been up to.


We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. In accordance with the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are happy to accommodate any disabilities or special needs. We are a distributed company, so we hire regardless of location, as long as you are willing to have significant hours overlap with one of the Americas time zones.

ClassDojo takes a number of factors into consideration when determining compensation, including geographic location, experience, and skillset. Salary ranges (United States):

CA, WA, NY, NJ, CT states: $175,000 - $235,000 (USD)

All other states in the US: $150,000 - $200,000 (USD)


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Frequently Asked Questions

Is the salary disclosed for the Staff Analytics Engineer position at classdojo?
The salary for this Staff Analytics Engineer role at classdojo is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Is the Staff Analytics Engineer job at classdojo remote?
Yes, this Staff Analytics Engineer position at classdojo is remote, with team members based in Remote. You can work from home or anywhere in the supported regions.
Is the Staff Analytics Engineer role at classdojo full-time or part-time?
This is listed as a FullTime position. It is posted as a Staff Analytics Engineer role in the Data Science department at classdojo.
Which team or department does the Staff Analytics Engineer at classdojo belong to?
This Staff Analytics Engineer position is part of the Data Science department at classdojo. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Staff Analytics Engineer position at classdojo?
Click the "Apply Now" button on this page. You will be redirected to classdojo's official application portal hosted on ashby where you can submit your application directly.
When was the Staff Analytics Engineer job at classdojo posted?
This Staff Analytics Engineer position at classdojo was posted on Apr 1, 2026. Apply as soon as possible — early applications are often reviewed first.
Staff Analytics Engineer
classdojo
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