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Added 9 mins ago
Loan Administrator / Loan Operations Analyst
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Full-time
Au sein des équipes Loan Operations OPC-FTO, en coordination avec les groupes de soutien aux affaires situés à New York et à Mumbai, notre client cherche un(e) Administrateur(trice) de…
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Clutch Technologies Inc.

Senior Data Analyst

Toronto, ON, Canada

Pay: Salary range: $100,000 - $125,000
Experience: 5+ years of experience in data analytics, analytics engineering, or a closely related field (6–7 years is ideal).
Posting language: English
Posted: Sep 30, 2026

Apply About employer

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Original job 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.

Apply About employer

More about this job

Responsibilities

The Senior Data Analyst will own deep-dive analyses on high-priority business problems and build models to forecast outcomes and evaluate trade-offs. They will also define core business metrics, design experiments, and maintain production-ready data pipelines in partnership with data engineering.

Requirements

Candidates must have 5+ years of experience in data analytics or a related field with strong SQL expertise and a track record of driving business decisions. Proficiency in BI tools, statistical grounding, and the ability to translate complex technical concepts for non-technical stakeholders are required.

Skills

Data analytics
SQL
Data modeling
Statistics
Experimentation
Tableau
Power BI
Dbt
Airflow
Snowflake
Python
Data pipelines
Business intelligence
Project management
Communication
AI tooling

Benefits

Healthcare
Dental care
Vision care
Prescriptions
Life insurance
Dependent coverage

Visa sponsorship

Not detected in the job text

Keywords

Data Analytics
SQL
Dbt
Airflow
Snowflake
Tableau
Power BI
Python
AI
Business Intelligence
Data Modeling
Data Pipelines
Statistics
Experimentation
E-commerce
Marketplaces
Automotive
Financial Services
Forecasting
Data Governance
Product Analytics
Operations
Finance
Marketing
Retail
Inventory
Acquisitions
Dashboarding
Project Management
Stakeholder Management

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