Junior Analytics Engineer maintaining data pipelines, models, and dashboards for Top Hat, an education technology company.
Supporting operational teams with trusted data, SQL analysis, and data quality improvements.
Responsibilities
Develop, maintain, and optimize data models to ensure data integrity and pipeline reliability.
Monitor data pipelines, identifying and resolving inconsistencies in existing processes.
Learn the business and translate stakeholder requirements into clean, efficient SQL queries under the guidance of senior team members.
Build, document, and maintain internal dashboards; troubleshoot issues to ensure accurate reporting.
Assist with ad-hoc data requests and perform data quality checks.
Apply software engineering best practices, including version control and automated testing.
Serve Operational teams including Revenue, Finance, Customer Success, and Marketing through the Business Analytics team.
Help ensure data is trusted and ready to support Top Hat’s growth.
Requirements
1–2+ years of experience in analytics, data engineering, or similar quantitative work.
Degree in Computer Science, Statistics, Engineering, or equivalent practical experience.
Solid foundation in SQL, including CTEs, window functions, and query optimization.
Python experience.
Familiarity with data modeling and Business Intelligence tools such as Looker and Tableau.
Eagerness to learn and apply dbt, Airflow, Git, automated testing, and software engineering best practices.
Detail-oriented approach and drive to solve technical problems in collaborative, hands-on settings.
Bonus: experience working in tech products, particularly in startups.
Bonus: recent experience in higher education as a teacher or student.
Benefits
Flexible, remote first work environment
Professional learning and development for all role levels
An awesome and welcoming Toronto HQ
Competitive health benefits that start on day one
Innovative PTO policy with lots of time and space for self-care
A chance to work with new tech like generative AI—and see the customer impact
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