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About The Position
Quince is a tech company disrupting the retail industry by putting AI, analytics and automation at the center of everything we do. Our unwavering commitment to excellence and company values guide our teams and actions: Customer First, High Quality, Essential Design, Always a Better Deal, Social & Environmental Responsibility. Quince partners with world-class manufacturers across the globe and serves millions of customers. With strong investor backing and a focus on sustainable growth, we are a company that is rapidly scaling while maintaining a commitment to quality, simplicity, and radical price transparency. At Quince, you will be part of a high-performing team that is redefining what quality, value, and sustainability mean in modern retail. We are a destination for builders, innovators, and operators to come together and challenge the status quo. Our collective ambition is bold. We are creating an entirely new category and customer experience – one that democratizes luxury and provides high quality products at radically low prices. That mission demands a world-class team committed to excellence. If you are motivated by impact, growth, and purpose, you will find a strong sense of belonging at Quince.
Requirements
- Bachelor's degree in a quantitative discipline (e.g., Economics, Mathematics, Statistics, Engineering, Physics, Computer Science,Industrial Engineering), Master’s preferred
- 7+ years of relevant experience in data analytics, operations analytics, or supply chain analytics—preferably with exposure to returns, reverse logistics, or warehouse operations
- Expert-level SQL proficiency; ability to write complex queries, optimize performance, and work with large-scale transactional datasets
- Proficiency in Python or R for statistical analysis, data modeling, and exploratory analysis
- Strong analytical skills: ability to define metrics, diagnose root causes, and translate data insights into actionable business recommendations
- Experience with dashboarding and data visualization tools (Looker, Tableau, Sigma, or similar); familiarity with automation and alerting frameworks
- Strong proficiency with AI tools to increase productivity, surface insights, and accelerate analysis
- Excellent written and oral communication; ability to explain complex analyses to both technical and non-technical audiences
- Proven ability to manage multiple workstreams, prioritize effectively, and deliver in a fast-paced environment
- Strong ownership mentality: self-directed, proactive, and accountable for end-to-end quality and impact
Nice To Haves
- Experience in e-commerce, logistics, or marketplace operations
- Familiarity with reverse logistics, returns management systems, or warehouse workflows
- Background in process optimization, Six Sigma, or operational excellence
- Knowledge of inventory management, cost accounting, or P&L analysis
Responsibilities
- Build and maintain dashboards and automated reporting for core KPIs — return rate, days-to-refund, refund accuracy, inventory, and defect rates by return center, carrier, and category; ensure data quality and governance across the team
- Measure and optimize warehouse productivity — analyze TPH, units/shift, and team performance; conduct workforce analytics to optimize staffing levels, scheduling, and skill allocation; forecast labor demand and identify inefficiencies
- Diagnose and improve refund accuracy and quality — investigate delayed/incorrect refunds and build preventive monitoring; analyze refurbish metrics (Grade-A rate, bin grades, rework defects); identify process gaps and root causes
- Identify and drive cost reductions — quantify opportunities across labor efficiency, materials, processing errors, shrinkage, and network optimization; prioritize by impact and support ROI modeling for capital and staffing investments
- Build predictive models and anomaly detection — flag processing delays, quality drops, and cost spikes in real time; optimize reverse logistics network performance and refund pipeline bottlenecks
- Partner on system improvements and cross-functional initiatives — collaborate with engineering and operations on data instrumentation; contribute to customer experience and supply chain optimization efforts
Benefits
- Bonus and equity may also be provided for eligible roles.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
