Director, Data Analytics

About the role

Poshmark is seeking a Director of Data Analytics to spearhead the analytical strategy for the Revenue team, defining how data informs every critical choice in merchandising and supply. This role owns the design of the intelligence infrastructure that powers optimization initiatives across our global marketplace ecosystem. The hire will be responsible for aligning data capabilities with the strategic goals of Supply Partnerships and Merchandising leadership. You will establish the frameworks that turn raw marketplace activity into a coherent, single source of truth for inventory and Gross Merchandise Volume (GMV) metrics. A core part of this position is developing the analytical models that identify supply gaps and match buyer demand with available inventory in real time. The Director will also integrate emerging GenAI tools to automate reporting pipelines and enhance demand sensing accuracy across the business. Leading a team of analysts and collaborating closely with Data Engineering will be essential to productionize these models and insights at scale. This is a strategic leadership role that will shape how data drives liquidity and growth for the Poshmark community.

Key facts

What you'll do

• Architect and manage the end-to-end analytics stack for the Revenue department to ensure a single source of truth for inventory and GMV metrics.
• Engineer advanced frameworks to systematically identify supply gaps and dynamically align buyer demand with available marketplace inventory.
• Construct automated analytical systems that track trend cycles and translate complex data into actionable insights for Supply Partnerships and Merchandising teams.
• Develop and deploy operational dashboards that deliver immediate, decision-ready data to leadership for rapid strategic adjustments.
• Pioneer the integration of GenAI tools into analytics workflows to automate routine reporting and enhance real-time demand sensing capabilities.
• Partner with Data Engineering to productionize robust data models and provide leadership in managing a high-performing team of analysts.
• Implement sophisticated monitoring of marketplace liquidity to detect anomalies and opportunities in inventory flow.
• Establish governance standards for key revenue metrics to ensure consistency and trust in data products across the organization.
• Lead cross-functional initiatives that leverage data to optimize listing velocity, pricing strategies, and conversion rates.
• Mentor analysts on best practices for translating business questions into testable hypotheses and measurable outcomes.
• Drive experimentation frameworks that use data to inform merchandising and promotional calendar decisions.
• Collaborate with commercial stakeholders to define success metrics and validate the impact of analytical interventions.

Requirements

• Bring 8 to 12 years of cumulative experience in data analytics, with a demonstrated focus on e-commerce, retail, or consumer marketplaces.
• Hold a Bachelor or Master degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, or Economics.
• Show expert proficiency in SQL and strong Python skills for building automation and conducting advanced statistical analysis.
• Demonstrate proven experience managing large-scale data environments such as Snowflake or Databricks.
• Exhibit the ability to build scalable data transformation pipelines using dbt or equivalent modern tools.
• Maintain advanced visualization skills using platforms like Looker or Tableau to communicate insights effectively.
• Have practical experience applying LLMs to optimize code and accelerate analytical workflows.
• Provide a documented history of leading analytical teams and successfully partnering with senior commercial leadership.
• Show evidence of data-driven decision making that has materially impacted revenue or marketplace efficiency.
• Display strong problem-solving skills with the ability to deconstruct complex business problems into analytical strategies.
• Communicate effectively with both technical and non-technical audiences, translating complexity into clear recommendations.
• Adhere to strict standards of data integrity, confidentiality, and compliance in all analytical practices.

Nice to have

• Hands-on experience with two-sided marketplace dynamics and sophisticated inventory liquidity modeling.
• A background working in the resale or fashion industry, with an understanding of its unique supply chain challenges.
• Familiarity with Customer Data Platforms such as Segment, mParticle, Hightouch, or Salesforce implementations.
• Experience building AI or LLM-powered data products that scale within production environments.
• Knowledge of paid media performance analytics for major platforms including Google, Meta, TikTok, and Pinterest.
• Expertise in demand forecasting methodologies and assortment planning practices.
• Demonstrated proficiency in data governance frameworks and A/B testing methodologies.

Practical notes

• This is a hybrid role based in Redwood City.

The Director, Data Analytics will operate at the intersection of data science and commercial strategy, ensuring that every insight drives tangible marketplace value. You will be expected to challenge the status quo while maintaining rigorous analytical standards. Success in this role requires a balance of technical depth and business acumen, with the ability to manage multiple priorities in a fast-paced environment. The position reports to senior leadership within the Revenue team and will have direct impact on the company's financial performance. You will be responsible not only for building models but also for fostering a data-centric culture across the organization. The ideal candidate thrives in ambiguous situations and can translate unclear objectives into structured analytical plans. Collaboration will be a daily activity, working alongside engineers, product managers, and commercial leaders to align on priorities. This role demands strong ownership, clear communication, and the ability to influence without direct authority. The work environment is collaborative, high-performing, and focused on innovation in marketplace analytics.