Director, Data Analytics
On-siteRedwood City, California, United States
Job Summary
Build the end-to-end analytics stack for Poshmark's Revenue team, defining data architecture that connects demand signals, inventory health, and seller GMV opportunity into a single source of truth. Own live dashboards and operational briefs that surface accelerating trends, supply gaps, and early sourcing needs to drive merchandising and supply partnership decisions. Integrate GenAI tools to automate intelligence layers and partner with Data Engineering to productionize scalable frameworks. Lead the team of analysts while collaborating with CRO, Merchandising, Growth Marketing, and Product to turn raw platform data into real-time business actions.
Required Qualifications
- 8–12 years in data analytics
- 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
- Experience working directly with senior commercial leadership and translating business strategy into data architecture
- Demonstrated experience leading or growing a team of analysts
- Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) or equivalent practical experience
- 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
- 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
- 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
Desired Qualifications
- 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
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