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Aritzia

Women's fashion retailer selling in-house brands

Senior Analytics Engineer/Analytics Engineer - Digital Technology

Data Engineering +1Confirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • 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.
  • Experience with modern data warehousing solutions.
  • Experience defining metrics, business logic, semantic layers, and reusable data products.
  • Experience with data quality, testing, governance, lineage, and documentation standards.
  • A commitment to learn and apply Aritzia's Values, Business and People Leadership principles.

Responsibilities

  • 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.

Desired Qualifications

  • Experience developing transformation workflows and documented datasets using dbt.
  • Experience with BigQuery, Snowflake, or Redshift.
  • Experience supporting Digital Marketing (DTC, Owned, Paid channels) and Customer Data (zero/first/third-party).
  • Curiosity to leverage AI to accelerate workflows and generate business solutions.

About the Company

Aritzia

Women's fashion retailer selling in-house brands

Aritzia designs and sells women's clothing and accessories through physical stores and aritzia.com, primarily in North America with growing online reach. It uses multiple in-house brands, such as Tna, Babaton, and Denim Forum, and offers items like sweatpants, denim, jackets, dresses, and more, with online features like personalized recommendations and exclusive collections. The company differentiates itself through its multi-brand approach, focus on high-quality, trend-aware apparel, and active customer engagement via loyalty programs and the Aritzia Research Community. Its goal is to expand its North American footprint and extend its online presence globally while maintaining brand loyalty and delivering consistent fashion-forward products.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Vancouver, Canada
Founded
1984

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