Senior 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.

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

• We dream big and chase the hard problems others shy away from. Rejecting long-held assumptions is part of our company's DNA.
• Our pace is fast and the bar is high because our customers expect a lot from us and we refuse to let them down.
• 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If you're someone who likes to imagine new possibilities and build better systems rather than plug-in to outdated ones, Quince is the place for you.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 Role

We're seeking a Senior Data Analyst to join our Storefront team, partnering across cart, checkout, post-purchase (returns & exchanges), and accounts to quantify what's working, what's broken, and what to build next. This role sits at the center of a live, high-velocity storefront: millions of customer sessions, real-time inventory and pricing signals, and decisions that need rigor and speed in equal measure. You'll build statistical models (causal inference, incrementality testing, funnel diagnostics) that separate signal from noise, design and run a disciplined experimentation program, and partner directly with Product, Engineering, and Design to prioritize the highest-impact opportunities across the post-cart customer journey.

You are a true individual-contributor 'super IC', deeply technical, hands-on with Python and SQL every day, and fluent in the statistics that make an analysis trustworthy rather than just directional. You're excited by the newest AI tools and use them to move faster: LLM-assisted exploratory analysis, agentic coding for pipeline work, automated anomaly detection and insight generation. You have grit, push through messy data, ambiguous asks, and legacy instrumentation to ship something correct, then iterate. You thrive with autonomy in a fast-moving environment where you set your own standards for rigor and communicate findings with clarity and confidence to stakeholders at every level.

Responsibilities

• Own end-to-end analytics and data science support for cart, checkout, post-purchase (returns & exchanges), and accounts, from problem framing to statistical modeling to shipped recommendation.
• Design and run experiments (A/B tests, holdouts) across these surfaces, including sizing, guardrail metrics, variance reduction, and rigorous post-test readouts.
• Apply causal inference methods (e.g., diff-in-diff, synthetic control, incrementality testing) when randomized testing isn't feasible, especially for returns/exchanges policy and account-experience changes.
• Drive funnel diagnostics and root-cause analysis across cart abandonment, checkout drop-off, return/exchange friction, and account engagement, segmented by device, traffic source, geo, and cohort.
• Partner directly with Product, Engineering, and Design on these teams to prioritize hypotheses, size opportunities, and translate findings into clear product requirements and trade-offs.
• Build and maintain source-of-truth metrics and self-serve dashboards for cart/checkout/post-purchase/accounts KPIs; flag regressions and anomalies proactively.
• Write and maintain the SQL and Python pipelines behind your own analyses; partner with Data Engineering on event instrumentation, validation, and data quality.
• Adopt and champion AI/LLM-powered workflows, from analysis acceleration to automated anomaly narratives, to raise the team's analytical throughput.
• Communicate insights with clear, evidence-based storytelling to cross-functional stakeholders and leadership; run post-mortems and document learnings so they compound.

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, Math, or a related quantitative field.
• 5+ years of experience as a data scientist or quantitative analyst, ideally on a consumer-facing product, e-commerce, or marketplace team.
• Deep hands-on expertise in Python and SQL; you write and debug both yourself, daily, not just direct others to.
• Strong grounding in statistics and experimentation: hypothesis testing, regression, experiment design, and causal inference methods (e.g., diff-in-diff, propensity matching, incrementality/geo-lift testing).
• Track record of scoping and running experiments end-to-end, from design through analysis to a decision-ready readout.
• Experience with BI/visualization tools (e.g., Looker, Mixpanel) and comfort building self-serve dashboards that stakeholders actually use.
• AI-forward: you actively use LLMs and AI-assisted tooling in your own analytical and engineering workflow, and you stay current on what's newly possible.
• Excellent written and verbal communication; able to translate ambiguous, cross-functional problems (cart, checkout, returns, accounts) into a clear analytical plan and a clear recommendation.
• Grit and ownership: comfortable with ambiguity, messy data, and a fast-moving startup environment with limited process.

Pay Range

All posted ranges are reflective of base salary and may vary depending upon experience level and location. Bonus and equity may also be provided for eligible roles.

$150,000 to $200,000 USD

Why Quince?

Joining Quince means being part of a mission-driven team reshaping retail. You will work alongside talented colleagues, tackle meaningful challenges, and contribute to building a more sustainable, accessible future for customers and partners alike.

Equal Opportunity & Hiring Integrity

Quince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Quince is committed to providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation to complete your application or to perform the essential functions of a role at Quince, please let us know by completing this accommodation form. We review all requests individually and will work with you to determine appropriate accommodations on a case-by-case basis.

Employment is contingent upon successful completion of a background check. Quince will conduct background checks in compliance with applicable federal, state, and local laws.

Security Advisory: Beware of Frauds

At Quince, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Quince emphasizes legitimate recruitment practices. Initial communication is primarily via official Quince email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Google Meets or Zoom, never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.