Data/Analytics Co-op

Socket.dev; Vancouver; On-site; CAD 40,622 - 48,657; Part time

Job summary

Later is seeking a Data/Analytics Co-op to join the Data team and build data models and analytics foundations to help teams make better decisions.

You’ll work on SQL and dbt data models, create reusable datasets, and grow hands-on with BigQuery on a modern cloud data platform. The role emphasizes collaboration, documentation, and scalable data solutions.

Qualifications

• Pursuing undergrad in CS, data science, statistics, math, engineering, IS, or related field.
• Strong interest in analytics engineering, data engineering, or BI.
• Working knowledge of SQL, relational databases, and basic data modeling.
• Strong analytical and problem-solving skills with attention to detail.
• Curiosity about data transformation and business decisions.
• Clear communication and collaboration with technical and non-technical partners.
• Ability to learn quickly in a fast-paced environment.
• Exposure to dbt, BigQuery, Python, Git, or BI tools is a plus.

Responsibilities

• Build and maintain SQL and dbt data models transforming raw data into analytics-ready datasets.
• Create reusable datasets and metrics to support reporting and self-service analytics.
• Build data quality tests and investigate issues to improve data accuracy.
• Partner with Analysts and business teams to translate reporting needs into data models.
• Improve existing data models and pipelines for performance and scalability.
• Contribute to documentation, data lineage, and engineering best practices.
• Work with large datasets in BigQuery and gain hands-on experience with a cloud data platform.

Skills

Analytical thinking

Attention to detail

Clear communication

Fast learner

Team collaboration

Problem-solving

Education

Undergraduate degree in CS / Data Science / Statistics / Math / Engineering / IS

Tools

SQL

dbt

BigQuery

Python

Git

BI tools

Job description

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.

What you’ll be doing

• 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 success looks like

• 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.

What you bring

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.

How you work:

• 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.

Our approach to compensation:

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

Where we work:

We have offices in Boston, MA; Vancouver, BC; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates. We post our positions in the location(s) where we are open to having the successful candidate be located.

Diversity, inclusion, and accessibility:

At Later, we are committed to fostering a culture rooted in an inclusion‑first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit. We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change. We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.