Digital - Senior Analytics Engineer /Analytics Engineer

Aritzia • Seattle, WA

5d

About The Position

Aritzia is hiring a Senior Analytics Engineer / Analytics Engineer in its Digital Technology department. The role transforms complex data into trusted, business-ready assets that support decision-making across the organization. The engineer partners with cross-functional stakeholders to establish consistent metrics, develop scalable data models, and improve data accessibility and reliability. The work creates a foundation for meaningful insights, high-quality reporting, and data products that help identify opportunities, improve performance, and enable confident decisions.

The Digital Technology department designs, builds, delivers, and operates robust, efficient, and scalable technology solutions aligned with Aritzia’s strategic, business, and technology goals. This role contributes to delivering digital experiences for Aritzia’s clients and offers opportunities for continued career growth and development.

Requirements

• Demonstrated 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.
• Ability to collaborate fluently with cross-functional partners.
• Commitment to learn and apply Aritzia’s Values, Business and People Leadership principles.
• Commitment to quality and investing in results that add value to the business.

Nice To Haves

• Experience with dbt; preferred analytics engineering tool.
• Experience with BigQuery, Snowflake, or Redshift; preferred data warehousing solutions.
• 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.

Responsibilities

• Design, develop, and optimize trusted, reusable data models for analytics, reporting, and downstream data products.
• Transform raw landed data into curated, documented datasets for consistent business use.
• Partner with analytics, data science, engineering, and business stakeholders to translate business needs into scalable analytical assets.
• Define and maintain semantic layers for 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 to improve usability, consistency, and reliability across data products.
• Support 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.

Benefits

• Product discount and exclusive private shopping events.
• Up to 16 weeks of paid Baby Leave to support employees and their growing families.
• Aritzia Virtual Wellness, with 24/7 resources supporting physical, mental, social, and financial wellbeing.
• Aspirational workplace and specially designed offices.
• Amenities including a private parent’s room, shower facilities, and bike rooms.
• Snacks and refreshments, dry-cleaning, hotel and restaurant discounts, health and wellness discounts, and self-care promotions.
• Comprehensive benefits, aspirational workspaces, and elevated perks and experiences.
• Compensation may include base pay, bonus, and/or equity, depending on the role.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed