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Digital - Senior Analytics Engineer​/Analytics Engineer, Digital Technology

Job in Toronto, Ontario, C6A, Canada
Listing for: Aritzia
Full Time position
Listed on 2026-08-23
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 100000 - 300000 CAD Yearly CAD 100000.00 300000.00 YEAR
Job Description & How to Apply Below

THE BUSINESS

We are Everyday Luxury™. It's what we do and how we do it — together. It's working alongside world-class talent in pursuit of world-class results. It's maximizing your potential in a high-performance culture. It's knowing that wherever you are, you belong. It's elevating your world — and the world of those who love and will love Aritzia. It's You. And an endless runway of opportunity.

With a Global Support Campus in Vancouver and additional Support Office hubs in major cities across North America — including Toronto, New York, Los Angeles and Seattle — our workplace network is strategically designed to support our People and serve our Clients a frictionless experience. So, you can do what you do best — with us.

THE TEAM

The mission of the Digital Technology department is to design, build, deliver and operate robust, efficient, and scalable technology solutions that align with our strategic, business and technology goals.

THE OPPORTUNITY

Aritzia is growing and our Digital Technology team is growing with it. This is a unique opportunity to be part of the team responsible for delivering everyday luxury experiences to Aritzia’s clients by leveraging technology to meet and exceed the vision and mission of the business. As the Senior Analytics Engineer / Analytics Engineer, you will transform complex data into trusted, business-ready assets that empower decision-making across the organization.

You will partner closely with cross-functional stakeholders to establish consistent metrics, develop scalable data models, and improve the accessibility and reliability of data. By combining strong technical capabilities with business acumen, you will create the foundation for meaningful insights, high-quality reporting, and data products that unlock opportunities, drive performance, and enable confident decision-making. And, with the skills you gain in this role, the opportunities are endless — from a rewarding career in Digital Technology to continued growth and development with Aritzia.

THE ROLE

As a Senior Analytics Engineer / Analytics Engineer, Digital Technology, you will:

  • Design, develop, and optimize trusted, reusable data models that support analytics, reporting, and downstream data products
  • Transform raw landed data into curated, documented datasets that enable consistent business use
  • Partner closely with analytics, data science, engineering, and business stakeholders to translate business needs into scalable analytical assets
  • Define and maintain semantic layers that support business intelligence, self-serve analytics, and downstream consumption
  • Establish and uphold data quality, governance, privacy, and documentation standards for trusted analytical datasets
  • Contribute to the evolution of the customer data model, improving usability, consistency, and reliability across data products
  • Support the development of data testing, lineage, and documentation practices that increase trust in business reporting
  • Mentor junior engineers and promote analytics engineering best practices, data standards, and operational excellence
THE QUALIFICATIONS

The Senior Analytics Engineer / Analytics Engineer, Digital Technology has:

  • Proven skills, education, and/or applicable certifications in computer science, analytics engineering, business intelligence, and/or data analytics
  • Proficiency in SQL and data modeling for analytics, reporting, and downstream data products
  • Experience developing transformation workflows and documented datasets using modern analytics engineering tools, with dbt preferred
  • Experience with modern data warehousing solutions (Big Query, Snowflake, Redshift preferred)
  • Experience defining metrics, business logic, semantic layers, and reusable data products
  • Experience with data quality, testing, governance, lineage, and documentation standards
  • Experience supporting Digital Marketing (DTC, Owned, Paid channels) and Customer Data (zero/first/third-party) preferred
  • Curiosity to leverage AI to accelerate workflows and generate business solutions
  • A commitment to learn and apply Aritzia's Values, Business and People Leadership principles
  • The ability to collaborate fluently with cross-functional partners
  • A commitment to…
Position Requirements
10+ Years work experience
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