Director, Data Analytics at Poshmark · LumiJobs

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.

Qualification

8–12 years in data analyticsTechnical SkillsExpert-level proficiency in SQLHands-on experience in DatabricksFamiliarity with behavioral event dataPracticalBackground in fashionFamiliarity with CDPs SegmentBackground in demand forecasting

Required

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.
Technical 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.
Practical, hands-on experience using LLMs (e.g., Claude, Gemini, ChatGPT) to write and optimize queries, troubleshoot code, and accelerate analytics workflows.

Preferred

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.

Director, Data Analytics

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Poshmark

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