Top Hat
Junior Analytics Engineer
Edtech.com's Summary
- Develop, maintain, and optimize data models to ensure data integrity and pipeline reliability.
- Monitor data pipelines and resolve inconsistencies.
- Translate stakeholder needs into efficient SQL queries under senior guidance.
- Build, document, and maintain internal dashboards and troubleshoot reporting issues.
- Assist with ad-hoc data requests and perform data quality checks.
- Apply software engineering best practices including version control and automated testing.
- Requires 1-2+ years of experience in analytics or data engineering.
- Proficient in SQL (CTEs, window functions, query optimization) and Python.
- Familiarity with data modeling and BI tools such as Looker or Tableau.
- Bonus for experience in tech startups or higher education roles.
Junior Analytics Engineer Full Description
We are looking for a Junior Analytics Engineer to help maintain data pipelines and surface key insights at Top Hat. You will be part of Business Analytics, a small but impactful data team serving our Operational teams (Revenue, Finance, Customer Success,Marketing, etc.), helping to ensure our data is trusted and ready to support the needs of Top Hatâs growth.
You will:
Develop, maintain, and optimize data models to ensure data integrity and pipeline reliability.
Monitor data pipelines, identifying and resolving inconsistencies in existing processes.
Learn our business, translating stakeholder requirements into clean, efficient SQL queries under the guidance of senior team members.
Build, document, and maintain internal dashboards; troubleshooting 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.
About you:
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 (CTEs, window functions, query optimization) and Python.
Familiarity with data modeling and Business Intelligence tools (e.g., Looker, Tableau).
Eagerness to learn and apply modern data tools (dbt, Airflow) and software engineering best practices (Git, testing).
Detail-oriented, with a drive to solve technical problems in collaborative, hands-on settings.
Bonus points for: Experience working in tech products, particularly in startups. Recent experience in higher ed as a teacher or student.
Why team members love working at Top Hat:
A noble mission that creates meaningful, fulfilling work
A team that cares deeply for customers and for each other
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
A management team focused on performance, growth, engagement and connection
Our winning strategy and market potential
Innovative PTO policy with lots of time and space for self-care
Passionate customers that believe in usâand what we do
A chance to work with new tech like generative AIâand see the customer impact
Similar Jobs
Data Engineer 4 - Enterprise Data and Analytics - FT - Remote
University of California - Irvine
🇺🇸 Remote - Irvine, CA
Financial Business Intelligence Analyst
Pennsylvania State University
🇺🇸 Remote - US
Healthcare Analytics Engineer 4 - Enterprise Data and Analytics -FT - Day
University of California - Irvine
🇺🇸 Remote - CA
Business Data Analyst II
University of North Texas
🇺🇸 Denton, TX
Business Intelligence Analyst
University of North Texas
🇺🇸 Hybrid - Fort Worth, TX
