In a world where consumers increasingly value self-expression and individuality, the market for hard-to-find fashion, collectibles, and electronics has never been hotter.

Our global platform offers unique access to current culture while our data-driven, bid-ask model provides buyers with the real-time visibility to know they’re getting a fair price.

With key leadership and an inspiring vision in place, we believe we’re poised for significant growth: into new product verticals, new audiences, and new geographies. To get there we’re looking for flexible, all-in teammates who are excited by ownership and the opportunity to take on emerging challenges.

If you’re a doer who’s ready to solve tough problems with plenty of laughs along the way, we’d love to hear from you. We welcome, embrace, and respect all dimensions of diversity. We’re committed to creating an inclusive environment where all team members are valued, supported, and respected—and no, you don’t need to know a thing about sneakers or fashion.

The Lead Data Analyst specializes in delivering actionable insights that drive business value. Organizing and analyzing data from various sources to understand key pain points and opportunities from the numbers, the Analyst will influence decision making. Within this role, team members use a range of tools and methodologies, including statistics and technical expertise, to generate results which highlight useful insights. Each team member requires high-level communications skills, a strong sense of urgency, and focus on how their analyses will impact the business.

What you'll do

• Consistently deliver actionable insights that drive data based decision-making on a wide range of initiatives from the buyer and seller experience within our two-sided marketplace
• Analyze data with standard statistical methods, interpret results, and summarize results
• Effectively communicate results to teammates and business partners
• Work closely with engineering, marketing, and product to create holistic analytic solutions
• Turn numbers and data into clear, concise recommendations to help senior leaders make data driven decisions

About you

• 4+ years of applied experience working performing data analysis
• Domain knowledge in product analytics such as Seller tools, Buyer Experience, Operations, Delivery, Checkout, Payments, Marketplace or Fraud
• Experience creating insights, providing solutions and exposing possible areas of opportunity
• Completed end-to-end data analysis projects
• Experience in designing and analyzing A/B tests. An understanding of confidence intervals and noise reduction techniques
• Required experience using SQL to create data sets
• Basic statistical knowledge and usage to drive business decisions
• Demonstrated experience visualizing (Tableau, PowerBI etc.)
• Preferred Bachelor’s Degree in relevant field (Economics, Mathematics, Applied Statistics, Computer Science, Finance) or equivalent experience

Nice to have skills

• Experience using machine learning techniques in analysis