Data/Analytics Co-op

Later • Vancouver, BC

4d • Hybrid

About The Position

Later is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. By combining real creator relationships, trusted intelligence, and expert guidance, Later removes fear and guesswork from one of marketing’s most visible investments.
Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch.
By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines, Later bridges creativity and performance so campaigns don’t just look good—they deliver results. Learn more at later.com.
About this position:
We're looking for a Data / Analytics Co-op to join our Data team and gain practical experience building the data models and analytics foundations that help teams across Later make better decisions.
You'll work alongside Data Engineers, Analytics Engineers, and Analysts to transform raw data into reliable, well-structured datasets that power reporting, dashboards, product analytics, and business decisions. You'll contribute to real projects using technologies such as SQL, dbt, BigQuery, Python, and business intelligence tools.

Requirements

• Currently pursuing an undergraduate degree or diploma in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, or a related technical 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 attention to detail.
• Curiosity about how data is transformed and used to support business decisions.
• Clear communication skills and an ability to collaborate with technical and non-technical partners.
• Ability to learn quickly and work effectively in a fast-paced environment.

Nice To Haves

• Exposure to dbt, BigQuery or other cloud data warehouses, Python, Git, or BI tools through coursework, personal projects, internships, or prior co-op experience is a plus.

Responsibilities

• Build and maintain SQL and dbt data models that transform raw data into reliable, analytics-ready datasets.
• Create reusable datasets and metrics that support consistent reporting and self-service analytics across teams.
• Build data quality tests and investigate issues to improve the accuracy and reliability of our data.
• Partner with Analysts and business teams to translate reporting and analytics needs into clear data models and definitions.
• Improve existing data models and pipelines for performance, maintainability, and scalability.
• Contribute to documentation, data lineage, code reviews, and engineering best practices.
• Work with large datasets in BigQuery and gain hands-on experience with a modern cloud data platform.

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed