Senior Analytics Engineer, Digital Technology

Aritzia

Analytics engineer developing trusted data models, semantic layers, and data products for Aritzia’s luxury fashion business. Improving reporting, governance, and decision-making across the organization.

Posted 8/12/2026full-timeSeattle • Washington • 🇺🇸 United StatesSenior💰 $100,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data modeling, analytics engineering, and business intelligence, with a strong focus on data quality, governance, and documentation standards. Proven ability to collaborate with cross-functional teams to translate business needs into scalable analytical solutions.

Highest-signal resume keywords

SQL ProficiencyData ModelingAnalytics EngineeringBigQueryData Quality Standards

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data TransformationData GovernanceData LineageMetrics DefinitionSemantic Layer DefinitionDocumentation StandardsAnalytics WorkflowsBusiness IntelligenceData TestingReusable Data Products

Soft Skills

CollaborationMentoringCuriosityCommitment to Quality

Tools & Technologies

DbtSnowflakeRedshift

Certifications & Qualifications

Computer Science DegreeAnalytics Engineering CertificationBusiness Intelligence Certification

Industry Keywords

Digital MarketingCustomer DataDTCOwned ChannelsPaid Channels

Tech Stack

Tools & technologies

Amazon RedshiftBigQuerySQL

About the role

Key responsibilities & impact

Design, develop, and optimize trusted, reusable data models supporting 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
Contribute to the evolution of the customer data model, improving usability, consistency, and reliability
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

Requirements

What you’ll need

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; dbt preferred
Experience with modern data warehousing solutions; BigQuery, Snowflake, and 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
Commitment to learn and apply Aritzia's Values, Business and People Leadership principles
Ability to collaborate fluently with cross-functional partners
Commitment to quality and investing in results that add value to the business

Benefits

Comp & perks

Product Discount
Exclusive private shopping events
Up to 16 weeks of paid Baby Leave
Aritzia Virtual Wellness with 24/7 physical, mental, social, and financial wellbeing resources
Aspirational workplace
Private parent’s room
Shower facilities with elevated complementary conveniences
Bike rooms
Snacks and refreshments
Dry-cleaning discounts
Hotel discounts
Restaurant discounts
Health and wellness discounts
Self-care promos
Comprehensive benefits
Market-leading compensation packages with pay-for-performance philosophy