Director, Data Analytics

Poshmark; California (MO); On-site; USD 180,000 - 240,000; Full time

Job summary

Poshmark is seeking a proactive, commercially driven Director of Data Analytics to join the Revenue team. You will define the data architecture for the Revenue function, own the end-to-end analytics stack, and partner with the CRO and cross‑functional leads across Merchandising, Growth Marketing, Supply Partnerships, Product, and Data Engineering to turn data into real‑time business decisions.

This builder role focuses on creating decision surfaces rather than reports, leading AI‑powered

Responsibilities

• Build the Revenue Intelligence Infrastructure across demand signals, inventory health, sell-through, and seller GMV.
• Own Demand & Supply Intelligence, translating buyer behavior into platform health.
• Drive Trend & Supply Gap Intelligence, surfacing accelerating trends and sourcing needs.
• Create decision surfaces and operational dashboards for CRO and Revenue leadership.
• Lead AI-powered analytics by integrating GenAI into daily workflows.
• Partner cross-functionally and build the analytics team.
• Stand up dashboards for sell-through and inventory health used by Merchandising.

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. Integrate GenAI tools into daily workflows to accelerate output, and architect toward a Revenue Intelligence Platform where demand sensing, campaign performance, and seller opportunity are surfaced automatically and continuously.

• Partner Cross-Functionally & Build the Team. Serve as the analytical backbone for Merchandising, Growth, Supply Partnerships, and Product. Partner with Data Engineering to productionize frameworks. Hire, mentor, and grow a team of analysts and promote a data-driven culture across the Revenue org.

What Success Looks Like

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.

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