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Senior Data Analyst

Clutch Technologies

CA$100,000 - CA$125,000 / year

Toronto, ON Full-timeOn-siteProficient

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Description

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.
  • 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.

What we're looking for:

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.

Why you'll love it at Clutch:

  • 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.

Employment Type:

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

Compensation & Benefits:

  • Salary range: $100,000 - $125,000
  • Benefits: Comprehensive benefits plans include healthcare, dental care, vision care, prescriptions, life insurance and dependent coverage; start from day 1. (Applicable for Permanent Full-Time)
  • Pay decisions reflect objective criteria: skills, performance, market benchmarking, responsibilities and working conditions.

Benefits

  • life insurance

About this role

Clutch Technologies, Canada's largest online used car retailer, is seeking a Senior Data Analyst to join its data team in downtown Toronto. You'll own high-impact analyses across the full business—from how vehicles are acquired and priced to customer conversion, operations, and financing. This role demands someone who can take ambiguous problems, build the data infrastructure to solve them, and translate findings into clear recommendations that drive decisions at the leadership level. You'll work across acquisitions, inventory, retail, operations, and finance, making you the person teams turn to when they need to understand what's really happening.

The day-to-day involves deep-dive analyses, building models and dashboards that stakeholders depend on, designing experiments to measure impact, and owning production-ready pipelines using tools like dbt, Airflow, and Snowflake. You'll partner closely with Marketing, Product, Operations, and Finance to translate business questions into trustworthy analysis, and you're expected to communicate findings clearly to both technical and non-technical audiences, including senior leadership. Modern analytics practices matter here—the role explicitly calls for incorporating AI tooling into your workflow to accelerate your work.

You'll need at least five to seven years in data analytics or analytics engineering, strong SQL skills, and a proven track record of analysis that actually changed business decisions. Hands-on experience with BI tools like Tableau or Power BI, solid statistics and experimentation knowledge, and the ability to explain technical concepts to non-technical stakeholders are essential. The role is in-office three days a week in downtown Toronto, full-time and permanent, with a salary range of $100,000 to $125,000 and comprehensive benefits starting day one. Experience with e-commerce, automotive, or financial services, plus familiarity with dbt, Airflow, Snowflake, or Python would strengthen your candidacy.

How this employer is doing

average

  • Recent Acquisition

Typical pay for this role

$120,000

Typical range: $100,000 to $140,000

This role's local market on JobMinglr

Pay for this role

$100,000 to $125,000 per year

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