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Salary: CAD 100,000 - 125,000 / annual
Clutch is Canada's largest online used car retailer, backed by top-tier investors including Canaan, D1 Capital, and Real Ventures. Founded in 2017 and headquartered in Toronto, the company has been named one of Canada's top growing companies two years running and recognized on LinkedIn's Top Canadian Startups list.
As a Senior Data Analyst, you will join the data team and own some of the most important and complex questions facing the business. You'll develop deep expertise across how Clutch buys and prices vehicles, how customers move through the funnel, how cars are reconditioned and delivered, and how customers finance purchases. You'll be the trusted advisor leaders turn to when they need to understand what's really happening and what to do about it.
This role emphasizes ownership and impact. You will scope ambiguous problems, build the data models and pipelines needed to answer them, and translate findings into clear recommendations that drive business decisions. The team is embracing modern engineering practices and AI-powered tooling to accelerate analytics workflows.
Key responsibilities include:
- 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
- Define and own core business metrics to create a single source of truth across teams
- Design and analyze experiments to measure the impact of product, marketing, and operational changes
- Build, maintain, and improve production dashboards and data models that stakeholders rely on daily
- Develop reliable, well-tested, production-ready pipelines using dbt, Airflow, and Snowflake in partnership with data engineering
- Partner with Marketing, Product, Operations, and Finance to translate business questions into clear analysis
- Leverage AI tooling as part of your everyday workflow to accelerate analysis and iteration
- Communicate findings and recommendations clearly to both technical and non-technical audiences, including senior leadership
- Own projects end-to-end from scoping through delivery
- Contribute to data documentation and governance practices as infrastructure matures
The role is permanent, full-time, and hybrid with three days per week in downtown Toronto.
REQUIREMENTS:
Must Haves:
- 5+ years of experience in data analytics, analytics engineering, or closely related field (6–7 years ideal)
- Strong SQL expertise with comfort working across large or complex datasets
- Track record of analysis that changed business decisions, not just reporting on them
- Ability to take vague business questions, structure them, and deliver clear recommendations
- Solid grounding in statistics and experimentation
- Hands-on experience with a BI tool such as Tableau or Power BI
- Proven ability to explain technical concepts clearly to non-technical stakeholders
- Track record of owning and delivering projects end-to-end, ideally with some project management experience
- 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 day-to-day workflow
