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Overview
Senior

Senior Analytics Engineer (m/f/d)

Confirmed live in the last 24 hours

AutoTrader.ca

AutoTrader.ca

Compensation

$90K - $140K

Toronto, ON (Canada)
On-site
Posted April 28, 2026

Job Description

We are TRADER, a Canadian leader in digital automotive solutions. Our flagship brands - AutoTrader.caAutoSyncDealertrack Canada and CMS - help Canadians buy, sell, and finance vehicles with confidence. 

AutoTrader.ca is Canada’s largest automotive marketplace, with over 25 million monthly visits.Through AutoSync, we provide software solutions to 3,500+ dealers, streamlining their operations, marketing,and sales. Dealertrack Canada is the country’s top automotive financing portal, processing more than 6.5 million credit applications each year. Collateral Management(CMS) is anational tech solution that boosts lien and registration services,recovery services, and insolvency management solutions for Canadian Lenders. 

Learn more at tradercorporation.com. 

ABOUT THE ROLE 

 
As a Senior Analytics Engineer, you will own and shape the analytical data architecture and modelling that powers enterprise reporting, self-service analytics, and AI-driven insights. You will define modeling standards, semantic layers, and data foundations across the organisation and act as a technical leader for reporting, analytics and AI use cases. You will work closely with data platform, data governance, and analytics teams across a modern cloud data stack. This position is permanent and based in Toronto, Canada. 

 

WHAT YOU’LL DO 

  • define and evolve enterprise analytical data models and architecture using AWS technology  
  • build and own semantic layers to align KPIs and business logic 
  • lead AI-driven analytics use cases such as text-to-SQL and conversational BI 
  • Set modeling standards, documentation, and best practices across teams 
  • Collaborate with data platform engineering , data governance and the business stakeholders on scalable pipelines 
  • Contribute to data modeling best practices  

 

YOU COME WITH 

  • 7+ years in analytics engineering or data engineering roles 
  • Advanced SQL skills and strong experience with data modeling 
  • Strong experience with AWS, Glue, Athena, S3, and cloud analytics 
  • Knowledge of orchestration tools (Airflow, Prefect, Dagster) 
  • strong Python and PySpark skills for large-scale data processing 
  • experience with AI-driven analytics and semantic modeling 

 

WHY TRADER 

We support your growth, well-being, and long-term success. Our benefits are designed to help you perform at your best - both at work and in your personal life. Benefits from Day One:  

  • Gym membership discounts 
  • Employee and Family Assistance Program 
  • Virtual wellness sessions 
  • Budget for conferences and external training 
  • Regular internal learning programs 
  • Financial Well-Being 
  • 3% employer pension matching 
  • Comprehensive income-protection options 
  • Compensation 
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