Staff Analytics Engineer
About The Position
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.
Requirements
- 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
Responsibilities
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
101-250 employees
