About the role#
As a Data/Analytics Co-op, you will join the Data team to gain practical experience building the models and foundations that help teams across the company make data-driven decisions. You will work alongside Data Engineers, Analytics Engineers, and Analysts to transform raw data into reliable datasets that power reporting, product analytics, and business strategy. This role offers hands-on experience with modern cloud data platforms and technologies including SQL, dbt, BigQuery, and Python.
What you'll do#
- Build and maintain SQL and dbt data models to transform raw data into analytics-ready datasets.
- Create reusable datasets and metrics to support consistent reporting and self-service analytics.
- Develop data quality tests and investigate issues to improve the accuracy and reliability of data.
- Partner with Analysts and business teams to translate reporting requirements into clear data models.
- Improve existing data pipelines for performance, maintainability, and scalability.
- Contribute to documentation, data lineage, code reviews, and engineering best practices.
What you'll need#
- Currently pursuing an undergraduate degree or diploma in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, or a related field.
- Strong interest in analytics engineering, data engineering, or business intelligence.
- Working knowledge of SQL, relational databases, and basic data modeling concepts.
- Strong analytical and problem-solving skills with high attention to detail.
- Curiosity regarding how data is transformed and used to support business decisions.
- Ability to learn quickly and collaborate effectively with technical and non-technical partners.
- Exposure to dbt, BigQuery, Python, Git, or BI tools is considered an asset.
Location & details#
- Location: Vancouver, British Columbia, Canada.
- Modality: Hybrid.
- Employment: Full-time co-op position.
- Compensation: $4,000 per month.
