Analytics Engineer at Clutch Technologies Inc

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

03 Apr, 26

Salary

140000.0

Posted On

03 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Analytics, Data Engineering, Data Modeling, Cloud Data Warehouses, Self-Serve BI, Python, Airflow, Data Quality, Collaboration, Data Governance, Mentoring, CI/CD, Documentation, Observability, Performance

Industry

technology;Information and Internet

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. Named one of Canada’s Top Growing Companies two years in a row and 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 world-class investors including Canaan, BrandProject, Real Ventures, D1 Capital, and Upper90. To learn more, visit clutch.ca About the role Clutch is seeking a Data Analytics / Analytics Engineering professional to build and maintain our analytics data stack, deliver reliable insights, and empower teams across the company. You’ll play a key role in defining metrics, building scalable data models, and enabling self-serve analytics for multiple business functions. What you’ll do Build, maintain, and optimize analytics data stack, including ELT pipelines, dimensional models, and semantic layers using dbt, Snowflake, and Airflow Collaborate with Marketing, Product, Operations, and Finance teams to define key metrics, improve reporting fidelity, and enable self-serve analytics Own and evolve core data models and pipelines that drive dashboards, reporting, and downstream analysis Apply best practices for data testing, observability, and CI/CD to ensure reliable, version-controlled, production-ready analytics code Partner with stakeholders to understand business needs and translate them into performant, trustworthy data products Contribute to internal data documentation and governance practices Mentor team members on data modeling, tooling, and processes, bringing a scalable, engineering-first approach to analytics What we’re looking for 4–6 years of experience in analytics engineering, data analytics, or data engineering, ideally in fast-paced or high-growth environments Strong SQL expertise and experience with large-scale, normalized, or dimensional datasets Hands-on experience building data models with dbt in a production environment (CI, testing, documentation) Experience with cloud data warehouses like Snowflake, BigQuery, or Redshift Experience building semantic layers and enabling self-serve BI (Looker, Sigma, Tableau) Proactive communicator able to collaborate with business stakeholders and technical teams Strong ownership and accountability for data quality, performance, and maintainability Familiarity with Python and orchestration tools (Airflow, Prefect, Dagster) for data pipelines is a plus Why you’ll love it at Clutch Autonomy & ownership – create your own path and own your work Competitive compensation and equity incentives Generous time off program Health & dental benefits Employment Type Existing, Permanent Full-Time Compensation & Benefits Salary: $110,000 - $140,000 annually Equity incentives Comprehensive healthcare, dental, vision, prescriptions, life insurance, and dependent coverage Pay decisions reflect skills, performance, market benchmarking, responsibilities, and working conditions Clutch is committed to fostering an inclusive workplace where all individuals have an opportunity to succeed. If you require accommodation at any stage of the interview process, please email talent@clutch.ca

Responsibilities

Build and maintain the analytics data stack, including ELT pipelines and data models. Collaborate with various teams to define metrics and enable self-serve analytics.