Senior Data Analyst

Clutch is Canada's largest online used car retailer, delivering a seamless, hassle-free car-buying experience to drivers everywhere. Customers can browse hundreds of cars from the comfort of their home, get the right one delivered to their door, and enjoy peace of mind with our 10-Day Money-Back Guarantee… and that's just the beginning.

Named one of Canada's top growing Companies two years in a row and also awarded a spot on LinkedIn's Top Canadian Startups list, we're looking to add curious, hard-working, and driven individuals to our growing team.

Headquartered in Toronto, Clutch was founded in 2017. Clutch is backed by a number of world-class investors, including Canaan, BrandProject, Real Ventures, D1 Capital, and Upper90. To learn more, visit clutch.ca.

At Clutch, we believe advances in AI are fundamentally changing how great products are built. Traditional handoffs between product, design, and engineering are giving way to smaller, faster teams where builders can take ideas from concept to production in days instead of months.

As a Senior Data Analyst, you'll join our data team and take on some of the most important and complex questions facing the business. That means understanding how we buy and price vehicles, how customers move through our funnel, how we recondition and deliver cars, and how customers finance their purchases. You'll be the person leaders turn to when they need to know what's really happening and what to do about it.

This is a role for someone who thrives on ownership. You'll scope ambiguous problems, build the data models and pipelines needed to answer them, and turn your findings into clear recommendations that drive decisions. If you're energized by messy, high-stakes problems and want to bring modern engineering practices (including AI-powered tooling) into your analytics workflow, you'll thrive at Clutch.

• →Own deep-dive analyses on Clutch's highest-priority problems across acquisitions, inventory, retail conversion, operations, and financing.
• →Build models and frameworks to size opportunities, forecast outcomes, and evaluate trade-offs before decisions are made.
• →Define and own core business metrics so teams across Clutch work from a single source of truth.
• →Design and analyze experiments to measure the impact of product, marketing, and operational changes.
• →Build, maintain, and improve the production dashboards and data models that stakeholders rely on every day.
• →Build reliable, well-tested, production-ready pipelines using tools like dbt, Airflow, and Snowflake, in partnership with data engineering.
• →Partner with stakeholders across Marketing, Product, Operations, and Finance to translate business questions into clear, trustworthy analysis.
• →Use AI tooling as part of your everyday workflow to accelerate analysis, pipeline development, and iteration.
• →Communicate findings and recommendations clearly to both technical and non-technical audiences, including senior leadership.
• →Own your projects end-to-end, from scoping through delivery.
• →Contribute to data documentation and governance practices as our data infrastructure matures.

Must Haves

• 5+ years of experience in data analytics, analytics engineering, or a closely related field (6–7 years is ideal).
• Strong SQL expertise, with comfort working across large or complex datasets.
• A track record of analysis that changed business decisions, not just reporting on them.
• Ability to take a vague business question, structure it, and deliver a clear recommendation.
• Solid grounding in statistics and experimentation.
• Hands-on experience with a BI tool, such as Tableau or Power BI.
• A proven ability to explain technical concepts clearly to non-technical stakeholders.
• A track record of owning and delivering projects end-to-end, ideally with some project management experience.
• A collaborative, energetic communicator who works well within a close-knit team.

Nice to Have

• Experience in e-commerce, marketplaces, automotive, or financial services.
• Experience with dbt, Airflow, and Snowflake.
• Python or another coding language.
• Experience integrating AI tools into your day-to-day workflow.

• Autonomy & ownership: the opportunity to build your process and influence the company at every level.
• Help shape the future of car buying and selling in Canada by tackling the problems that matter most to the business.
• Broad and direct ownership over data analytics during a phase of rapid growth.
• We are dedicated to attracting and retaining top talent with top-of-market compensation packages.
• Above market health & dental benefits.

• New, Permanent Full-Time
• Hybrid, Downtown Toronto three days a week