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Poshmark
Redwood City, California, United States
Source: Poshmark careers · View original posting
From Poshmark's posting. “We” and “our” refer to the employer.
Poshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection.
Powered by a vibrant community of 165 million members, Poshmark brings real people and taste to shopping through a social experience shaped by shared discovery. Buying and selling fashion feels simple, joyful, and personal, while every item tells its own story. Poshmark empowers sellers to grow meaningful businesses, keeps fashion in circulation longer, and gives shoppers access to unique and trusted finds, from everyday pieces to one-of-a-kind vintage and luxury.
Poshmark is seeking a proactive, commercially driven Director of Data Analytics to join the Revenue team. This role is the analytical engine behind Poshmark's merchandising, growth, and supply strategy, responsible for building the intelligence infrastructure that tells us what buyers want, where supply is failing to meet demand, and where seller GMV opportunity is being left on the table.
The ideal candidate doesn't wait to be asked. They see the opportunity in the data before anyone else does, know exactly which signals to pull and how to connect them, and build the dashboards, frameworks, and tools that turn raw platform data into decisions the business can act on in real time.
This is a builder role. You will define the data architecture for how the Revenue team operates, from inventory health and sell-through reporting to trend cycle intelligence, supply gap identification, and seller GMV opportunity and partner directly with the CRO and cross-functional leads across Merchandising, Growth Marketing, Supply Partnerships, Product, and Data Engineering.
In Your First 6 Months
Successfully onboard into Poshmark's data environment, Revenue team priorities, and cross-functional workflows.
Audit existing analytics infrastructure and deliver a clear assessment of gaps, quick wins, and the roadmap for the Revenue Intelligence build.
Stand up core operational dashboards for sell-through, inventory health, and supply gap monitoring actively used by Merchandising and Growth teams.
Establish the supply gap brief format and delivery cadence in partnership with the Supply Partnerships team.
Build strong cross-functional relationships with Merchandising, Growth, Supply Partnerships, Product, and Data Engineering.
Demonstrate proactive intelligence orientation bringing the team signal-backed opportunities they weren't already asking about.
In Your First 12 Months
Own and operate a fully functional Revenue Intelligence infrastructure connected, reliable, and used daily across the Revenue team.
Deliver a live trend cycle intelligence system that informs editorial, paid media, and supply acquisition decisions on a continuous basis.
Build and maintain a supply gap intelligence pipeline that drives measurable Supply Partnerships sourcing activity and new category development.
Demonstrate measurable GMV impact through better-timed campaigns, supply gap closures, and demand-driven seller activation.
Establish scalable data models, pipelines, and reporting frameworks that reduce manual analytical work across the Revenue team.
Begin building toward the AI-powered Revenue Intelligence Platform vision with at least one AI-integrated intelligence layer in production.
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