Data Analyst

About Clutch:

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.

About the Role

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.

What you'll do:

• 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.