Director, Data Analytics

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.

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.

8–12 years in data analytics, with meaningful time spent in consumer marketplace, e-commerce, fashion, or retail environments.

Proven track record of building analytics infrastructure that changed how a business makes decisions not just reported on decisions already made.

Experience working directly with senior commercial leadership and translating business strategy into data architecture.

Demonstrated experience leading or growing a team of analysts; strong senior individual contributors will be considered for the right candidate.

Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) or equivalent practical experience.

Commercial instincts to match technical fluency understands how sell-through rate, inventory liquidity, trend velocity, and supply gaps connect to revenue outcomes.

Proven ability to translate complex data into actionable business recommendations and communicate effectively with non-technical stakeholders.

Strong project management skills; able to manage multiple workstreams across cross-functional partners simultaneously.

Ability to tell a story with data and drive executive alignment on analytical findings and infrastructure investment.

Experience with two-sided marketplace data (supply and demand dynamics, inventory liquidity modeling).

Background in fashion, resale, or consumer lifestyle platforms.

Familiarity with CDPs Segment, mParticle, Hightouch, or Salesforce and behavioral event data pipelines.

Experience building or integrating AI/LLM-powered analytics systems or data products.

Exposure to paid media performance analytics across Meta, Google, TikTok, and Pinterest.

Background in demand forecasting, inventory planning, or assortment analytics.

Experience developing or maintaining data governance standards and documentation.

Deep understanding of A/B testing methodologies, statistical significance, and causal inference techniques.