Senior Analytics Engineer (m/f/d)

AutoTrader.ca

Location
Toronto, ON (Canada)
Employment type
unknown
Posted
Posted
  • Engineering

About the role

We are a Canadian leader in digital automotive solutions. Our flagship brands - AutoTrader.ca , AutoSync , Dealertrack 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 . As part of AutoScout24 group , Europe’s largest online car marketplace, we’re shaping the future of automotive retail in Canada and beyond. As a Senior Analytics Engineer , you will be a senior technical contributor within the Analytics Engineering team and help shape the data foundations behind reporting, self-service analytics, and AI-driven decision-making. You will own complex technical workstreams, set direction for team-level analytical systems, and help improve the standards, practices, and architecture used across the team. What youʼll do Own complex analytics engineering workstreams from problem framing through delivery and adoption Design and evolve scalable analytical models, semantic layers, and reusable data products Set technical direction for team-owned models and analytical systems Resolve ambiguity and align stakeholders around clear, pragmatic technical decisions Improve modeling standards, documentation, testing, review practices, and quality gates Drive consistency in KPIs, metrics, and analytical logic Partner with Data Platform, Product Analytics, Engineering, and Data Governance teams Improve the performance, reliability, and cost efficiency of AWS-based analytical workloads Contribute to AI-driven capabilities such as text-to-SQL, semantic modeling for AI, automated insights, and conversational analytics Guide complex refactoring, migrations, and technical debt reduction Review analytical solutions for correctness, maintainability, privacy, security, performance, and business fit Mentor analytics engineers and analysts through reviews, pairing, and technical guidance Turn recurring quality or delivery issues into reusable standards, automation, and documentation Connect technical decisions to product, operational, and business outcomes <span data-ccp-props="{"134233117":false,"134233118":false,"335557856":16777215,"335559738":240,"335559739":240}"

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