Data/Analytics Co-op

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.

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

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 have

dbt; BigQuery; Python; Git; BI tools