Lead Data Analyst

OUR STORY

Quince was started to challenge the existing idea that nice things should cost a lot. Our mission was simple: create an item of equal or greater quality than the leading luxury brands and sell them at a much lower price. 

OUR VALUES

Customer First. Customer satisfaction is our highest priority.

High Quality. True quality is a combination of premium materials and high production standards that everyone can feel good about.

Essential design. We don’t chase trends, and we don’t sell everything.  We’re expert curators that find the very best and bring it to you at the lowest prices.

Always a better deal. Through innovation and real price transparency we want to offer the best deal to both our customers and our factory partners.  

Environmentally and Socially conscious.  We’re committed to sustainable materials and sustainable production methods. That means a cleaner environment and fair wages for factory workers.

OUR TEAM AND SUCCESS 

Quince is a retail and technology company co-founded by a team that has extensive experience in retail, technology and building early stage companies. You’ll work with a team of world-class talent from Stanford GSB, Google, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc.

THE IDEAL CANDIDATE:

As an eCommerce Data Analyst, you’ll play a critical role in planning, measuring, analyzing, optimizing our marketing, operations and revenue driving programs for our Canada market. You’ll work closely with our performance marketing, data, merchandising and product teams to deliver data-driven insights and strategic recommendations. Your expertise in analyzing large datasets, interpreting trends, and translating them into actionable insights will help us make smarter, faster, and more effective marketing decisions. 

RESPONSIBILITIES:

• Analyze customer behavior, conversion funnels, and on-site metrics (e.g., CTR, CVR, bounce rate) to identify opportunities to improve product discovery and conversion.
• Provide cross-channel marketing insights (paid search, social, display, email, affiliate) to optimize campaigns and drive ROAS, CAC, and LTV goals.
• Partner with merchandising to uncover bundling trends, product affinities, and inventory insights that inform upsell and cross-sell strategies.
• Design and evaluate A/B and incrementality tests to optimize creative, targeting, and media mix performance.
• Forecast marketing and revenue performance for weekly, monthly, and quarterly planning cycles.
• Build dashboards and automate reporting to deliver real-time insights for marketing, merchandising, and leadership teams.
• Monitor inventory demand alignment to prevent stock outs from impacting campaign success.
• Perform ad hoc analysis and post-mortems to quantify business impact and inform future marketing and site strategies.
• Conduct deep-dive analysis of Canadian customer behavior and attribution to surface local growth opportunities in acquisition, retention, and cross-sell.

REQUIREMENTS:

• Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Data Science, or similar). Master’s degree is a plus.
• 5+ years in a data analytics role, ideally with a focus on performance or digital marketing within an e-commerce or technology company.
• Proficiency in SQL and data visualization tools (e.g., Tableau, Looker, Power BIm Mixpanel).
• Knowledge of statistical analysis and A/B testing; familiarity with Python or R is a plus.
• Ability to interpret complex data and translate it into actionable insights, with a focus on detail, accuracy, and clarity.
• Excellent verbal and written communication skills, with the ability to present data insights and recommendations effectively to both technical and non-technical audiences.
• Demonstrated ability to manage multiple projects and prioritize in a fast-paced, dynamic environment.
• Based in Toronto with the ability to come into the Toronto office 4 days per week.