Senior/Staff Data Analyst, Storefront

ABOUT QUINCE

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. 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. OUR CULTURE 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. 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. 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.

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.

If you’re someone who likes to imagine new possibilities and build better systems rather than plug-in to outdated ones, Quince is the place for you. The ideal candidate is deeply analytical, highly curious, and motivated by using data science to shape the trajectory of fast-scaling international storefronts. They are skilled at uncovering the underlying drivers of customer behavior, business performance, and product outcomes, and translating those insights into clear opportunities for growth. They thrive in ambiguous, fast-moving environments where they are expected to move beyond reporting into proactive problem solving, experimentation, and strategic influence. This person is energized by building from zero-to-one, partnering closely with product, engineering, merchandising, and business teams to help new storefronts scale successfully. The ideal candidate combines strong technical depth in analytics and experimentation with strong business judgment. They are comfortable owning complex analytical initiatives end-to-end, influencing prioritization through data, and helping teams focus on the highest-leverage opportunities to improve customer experience and accelerate growth in emerging markets. This role will be jointly accountable for helping drive the growth and success of emerging storefront markets by identifying the highest-impact opportunities across product experience, customer behavior, and operational performance. Lastly, they are excited by a culture where transparency, speed, accountability, and high standards are core operating principles, and where data is central to decision-making across the organization.

Responsibilities

Partner closely with product, engineering, merchandising, and business stakeholders to support the launch and growth of new international storefronts and customer experiences. Develop scalable dashboards, KPI frameworks, and automated reporting to monitor business health across acquisition, engagement, conversion, retention, orders, and revenue. Identify and quantify the key drivers behind storefront performance and customer behavior, translating findings into actionable recommendations for product and business teams. Lead deep-dive analyses to uncover growth opportunities, diagnose friction points, and improve the end-to-end customer journey. Design, analyze, and interpret A/B tests and other experimentation frameworks to measure product impact and guide roadmap prioritization. Apply advanced statistical and analytical techniques to forecast trends, measure causal impact, and support strategic decision-making in new and growing markets. Partner with global analytics teams to improve data quality, governance, instrumentation, and best practices in analytics and AI-enabled workflows. Help define success metrics and analytical frameworks for new product initiatives and international expansion efforts. Act as a strategic thought partner to cross-functional teams by proactively surfacing insights, risks, and opportunities that drive measurable business outcomes. Contribute to building a high-performing analytics culture grounded in rigor, speed, curiosity, and ownership.

Qualifications

Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Data Science, or a related discipline. Advanced degree preferred. 7+ years of experience in product analytics, growth analytics, or data science roles within e-commerce or technology environments. Strong expertise in SQL and experience working with large-scale behavioral and transactional datasets. Advanced proficiency in Python for analytics, experimentation, statistical modeling, and data exploration. Extensive experience designing and evaluating experiments, including A/B testing methodologies and causal inference approaches. Strong understanding of KPI d