Internship Insurance Data Analytics Jobs in Vancouver, BC

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.

• 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.

• Within 30 days: You've ramped up on Later's data platform, core datasets, and development workflows and are contributing to SQL and dbt projects.
• Within 90 days: You're independently building and testing analytics models and contributing reliable datasets used in reporting and analysis.
• By the end of your co-op: You've shipped meaningful improvements to our analytics platform and can take a data requirement from definition through development, testing, documentation, and delivery.
• You've developed a strong understanding of how to translate business questions into simple, reliable, and useful data solutions.

We are committed to building an inclusive, supportive place for you to do the best and most rewarding work of your career. If you identify with any of the following, we encourage you to apply!

• 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.
• 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.

• Driven by Impact: You deliver results that matter-prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast-challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive-removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$4,000 per month 

*Co-op team members, independent contractors, and freelancers are not eligible for company benefits. 

#LI-Hybrid  #LI-Remote