Senior Data Analyst, Storefront

<div class="content-intro"><p><span style="text-decoration: underline;"><strong>ABOUT QUINCE</strong></span></p> <p>Quince is a destination for builders, creators, innovators, and operators who want to come together and challenge the status quo. Our mission is simple: make really high quality essentials for really low prices, fairly and sustainably. We deliver on that mission through a unique manufacturer-to-consumer (M2C) model eliminating the layers of traditional retail that add cost and result in consumers paying more than they need to. We find, build relationships with, and work directly with the manufacturing partners behind some of the world’s finest products. From there, our teams design smart, efficient operational processes  and build and deploy proprietary technology, AI, and analytics to help us scale fast.</p> <p>What began with a small assortment of elevated basics has quickly grown into a cross-category brand spanning apparel, accessories, home goods, and more. Today, tens of millions of people across a growing number of countries come – and return – to Quince because they trust us to deliver.</p> <p><span style="text-decoration: underline;"><strong>OUR CULTURE</strong></span></p> <p>Quince is a culture built for builders by builders. Our way of working starts with a blank sheet of paper. We question conventional thinking, use technology and data to uncover new opportunities, and move quickly to turn ideas into reality. We aren’t interested in replicating how others do retail. We’re building a better way – at a speed and scale unlike anything that’s been done before.</p> <ul> <li>We dream big and chase the hard problems others shy away from. Rejecting long-held assumptions is part of our company's DNA.  Where conventional wisdom says you have to choose – soft or durable, speed or rigor, quality or price – we ask why that trade-off has to exist in the first place.</li> <li>Our pace is fast and the bar is high because our customers expect a lot from us and we refuse to let them down. We believe the best results come from challenging ourselves, learning from one another, and building on each other's strengths. </li> <li>Here, responsibility is not determined by role, tenure, or seniority. Every team member - no matter their level - has the opportunity to drive our business and shape our trajectory. </li> </ul> <p>If you’re someone who likes to imagine new possibilities and build better systems rather than plug-in to outdated ones, Quince is the place for you.</p></div><p><span style="text-decoration: underline;"><strong>THE ROLE</strong></span></p> <p><strong>Senior Data Analyst, Storefront</strong></p> <p>We're seeking a <strong>Senior Data Analyst</strong> to join our Storefront team who is a true “super IC” —  deeply technical and fluent in the statistics that make an analysis trustworthy rather than just directional. You'll own analytics for the post-cart journey (cart, checkout, returns and exchanges, and accounts) on a live storefront with millions of sessions. Your work decides what we fix and build next. You'll partner directly with Product, Engineering, and Design, with high autonomy and a fast pace.</p> <p><strong>Responsibilities</strong></p> <ul> <li>Own analytics end to end for cart, checkout, post-purchase, and accounts, from framing the problem to a shipped recommendation.</li> <li>Design and run experiments with proper sizing, guardrails, and decision-ready readouts. Use causal inference (diff-in-diff, synthetic control, incrementality) when you can't randomize.</li> <li>Diagnose funnel leaks and root causes across abandonment, drop-off, and return friction, segmented by device, source, geo, and cohort.</li> <li>Build source-of-truth metrics and self-serve dashboards. Catch regressions before anyone asks.</li> <li>Write your own SQL and Python pipelines and work with Data Engineering on instrumentation and data quality.</li> <li>Build AI/LLM workflows that raise the whole team's throughput.</li> </ul> <p><strong>Qualifications</strong></p> <p><strong>Required: </strong></p> <ul> <li>Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, Math, or a related quantitative field.</li> <li>5+ years of experience as a data scientist, data analyst, or quantitative analyst, ideally on a consumer-facing or e-commerce product.</li> <li>You have deep hands-on expertise in Python and SQL — you write SQL and Python daily and build your own pipelines.</li> <li>You own experiments end to end, from design and sizing to a readout that drives a decision.</li> <li>You reach for causal inference (diff-in-diff, synthetic control, geo-lift) when you can't randomize.</li> <li>You use AI tools in your own workflow every day and can show how they changed the way you work.</li> </ul> <p><strong>Preferred: </strong></p> <ul> <li>Experience with returns, exchanges, or post-purchase analytics.</li> <li>Experience building an AI/LLM-powered analytics workflow, such as anomaly triage or automated readouts.</li> <li>Early-stage or high-growth startup experience, where you set your own bar for rigor.</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p data-renderer-start-pos="3150"><em><span style="font-size: 11px;">All posted ranges are reflective of base salary and may vary depe