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Director, Data Analytics

Poshmark · Redwood City, California, USA

Posted 1d ago

hybridfull-timeleadData Analytics

Applications are handled on the company’s own career page — we never collect them here.

Job description

ABOUT POSHMARK 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. KEY RESPONSIBILITIES - Build the Revenue Intelligence Infrastructure. Own the end-to-end analytics stack for the Revenue team, defining what data we need, how it connects, and how it surfaces as a single source of truth across demand signals, inventory health, sell-through, and seller GMV opportunity. - Own Demand & Supply Intelligence. Translate search acceleration, save behavior, sell-through rates, and category liquidity into a live picture of platform health. Identify where supply is failing to meet demand and build the framework that matches buyer intent to seller opportunity. - Drive Trend & Supply Gap Intelligence. Build continuous systems that surface which trends are accelerating, where supply gaps are forming, and where early sourcing is needed, packaging these into actionable briefs that let Supply Partnerships and Merchandising move before a GMV window closes. - Create Decision Surfaces, Not Reports. Build operational dashboards for the CRO and Revenue leadership that answer specific business questions daily, and own their ongoing quality, accuracy, and evolution. - Lead AI-Powered Analytics.…