Senior Analytics Engineer (m/f/d)
AutoTrader.ca3 months ago
Toronto, CanadaSenior
Responsibilities
- Own complex analytics engineering workstreams from problem framing through delivery and adoption.
- Design and evolve scalable analytical models, semantic layers, shared metrics, and reusable data products.
- Set technical direction for team-owned analytical systems and align stakeholders around pragmatic technical decisions.
- Improve modeling standards, documentation, testing, review practices, observability, and quality gates.
- Drive consistency in KPIs, metrics, and analytical logic.
- Improve the performance, reliability, and cost efficiency of AWS-based analytical workloads.
- Contribute to AI-driven capabilities including text-to-SQL, semantic modeling for AI, automated insights, and conversational analytics.
- Guide 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 and delivery issues into reusable standards, automation, and documentation.
- Connect technical decisions to product, operational, and business outcomes.
Requirements
- 7+ years of experience in Analytics Engineering, Data Engineering, or a related data role.
- Deep experience designing, building, and scaling analytical models and reusable data products.
- Advanced SQL skills and strong knowledge of dimensional and semantic modeling.
- Strong experience with cloud-native analytical platforms, ideally AWS services such as Glue, Athena, S3, or MWAA.
- Practical Python experience for data processing, automation, validation, or troubleshooting.
- Track record of owning complex technical initiatives within a team or across closely related teams.
- Experience setting technical direction, resolving ambiguity, and aligning stakeholders.
- Strong understanding of data quality, testing, observability, documentation, and operational ownership.
- Experience improving modeling standards, development workflows, review practices, or quality gates.
- Ability to influence technical and business stakeholders through clear reasoning and communication.
- Experience mentoring analytics engineers, analysts, or other data practitioners.
- Understanding of data privacy, security, governance, and compliance in analytical systems.
- Experience with semantic layers, shared metric frameworks, or AI-driven analytics is a strong advantage.
- Proactive, collaborative, and solution-driven mindset.
Benefits
- Gym discounts.
- Employee and Family Assistance program.
- Virtual wellness events.
- Conferences and training budget.
- Regular internal training programs.
- Financial planning with 3% matching Pension.
- Competitive salary and annual bonus structure.
About AutoTrader.ca
AutoTrader.ca operates Canada’s largest online automotive marketplace, where consumers buy and sell new and used vehicles, and dealerships and OEMs advertise inventory. The company monetizes through listings, advertising, and digital retailing and marketing software (including AutoSync). Founded in 1975 and headquartered in Etobicoke, Ontario, its marketplace reports over 25 million monthly visits, and it is privately held under the TRADER corporate brand.