This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Analytics Engineer based in Canada.
As a Staff Analytics Engineer, you will play a pivotal role in designing and scaling the data infrastructure that powers analytics, reporting, and strategic decision-making across a large education technology workplace. You will lead the development of robust ELT/ETL pipelines, high-quality analytical data models, and semantic layers that transform complex datasets into reliable business insights. Working with modern technologies such as dbt, SQL, Airflow, and Snowflake, you will help build scalable data systems supporting millions of students and educators. You will collaborate closely with data scientists, software engineers, analysts, and business stakeholders to improve data accessibility, quality, and performance. Beyond hands-on engineering, you will mentor colleagues, establish technical standards, and influence the long-term analytics engineering strategy.



This is an opportunity to combine technical leadership, architectural ownership, and meaningful impact in an organization focused on improving educational outcomes through data.
Accountabilities: Design, develop, and maintain scalable ELT/ETL pipelines using dbt, Airflow, SQL, and modern cloud-based data technologies.
Build clean, reusable, and well-documented analytical data models and semantic layers that support business intelligence, reporting, and product analytics.
Architect and optimize data warehouse schemas, transformation workflows, and metrics systems to ensure performance, scalability, and long-term maintainability.
Develop reliable datasets that support student performance analysis, adaptive learning platforms, educational insights, and operational decision-making.
Design and maintain slowly changing dimensional models that accurately

📌 Staff Analytics Engineer (Canada)
🏢 Jobgether
📍 Canada