Poshmark

Poshmark

Director, Data Analytics

US California (Redwood City) - Office · Director

Sponsorship not specifiedDetected 79 days ago
PythonSnowflakeDatabricksdbtData AnalysisData EngineeringData VisualizationLLMsStatisticsA/B TestingProject ManagementSalesforceGrowth MarketingForecastingCadenceLeadershipDemand Planning

Stay score

odds of building a lasting career here

34Risky
Cap-exempt (no lottery)0
Sponsors this role70
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

2 transfer filings in the last year, covering 2 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • ABOUT POSHMARK Poshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection.
  • 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.

Responsibilities

  • 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.
  • Partner with Data Engineering to productionize frameworks.
  • Audit existing analytics infrastructure and deliver a clear assessment of gaps, quick wins, and the roadmap for the Revenue Intelligence build.
  • Build strong cross-functional relationships with Merchandising, Growth, Supply Partnerships, Product, and Data Engineering.
  • Build the Revenue Intelligence Infrastructure.
  • Own and operate a fully functional Revenue Intelligence infrastructure connected, reliable, and used daily across the Revenue team.

Requirements

  • 8-12 years in data analytics, with meaningful time spent in consumer marketplace, e-commerce, fashion, or retail environments.
  • Experience working directly with senior commercial leadership and translating business strategy into data architecture.
  • Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) or equivalent practical experience.

Nice to have

  • 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.
  • Exposure to paid media performance analytics across Meta, Google, TikTok, and Pinterest.
  • Background in demand forecasting, inventory planning, or assortment analytics.
  • Deep understanding of A/B testing methodologies, statistical significance, and causal inference techniques.

Skills

  • Expert-level proficiency in SQL. Strong programming skills in Python for data manipulation, statistical analysis, and pipeline automation.
  • Hands-on experience in Databricks, Snowflake, or equivalent large-scale data environments.
  • Experience with dbt or similar data transformation frameworks and modern data stack tooling.
  • Advanced dashboard and visualization skills proficient in Looker, Tableau, or equivalent
  • knows the difference between a report and a decision surface.
  • Familiarity with behavioral event data, funnel analytics, and supply/demand modeling in a two-sided marketplace context.
  • Strong project management skills
  • Expert-level proficiency in SQL.
  • Strong programming skills in Python for data manipulation, statistical analysis, and pipeline automation.
  • Poshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection.

Benefits

  • Translate search acceleration, save behavior, sell-through rates, and category liquidity into a live picture of platform health.
  • Stand up core operational dashboards for sell-through, inventory health, and supply gap monitoring actively used by Merchandising and Growth teams.
  • Begin building toward the AI-powered Revenue Intelligence Platform vision with at least one AI-integrated intelligence layer in production.
Apply directly at Poshmark →Create a free account for alerts like thisView Poshmark immigration profile

This listing is sourced directly from Poshmark's careers page and normalized into a canonical job model.