Poshmark

Sr. Lead Data Analyst (Merchandising and Revenue)

US California (Redwood City) - Office · Senior

Sponsorship not specifiedDetected 64 days ago

PythonAlgorithmsSQLData AnalysisData ScienceData VisualizationLLMsStatisticsA/B TestingLeadershipMentoring

About the role

We are seeking a highly motivated and experienced Sr.
This pivotal role will serve as the analytical powerhouse for two of our most critical domains: Merchandising and Revenue.

Strategic Partnership: Act as the primary data partner for Product, Engineering, and Business leaders across both the Revenue and Merchandising organizations.
Full-Cycle Analytics: Lead end-to-end analytics initiatives, from defining metrics and building foundational dashboards to conducting complex, deep-dive analyses that inform strategic decisions.
Experimentation & Causal Inference: Design, execute, and analyze A/B tests and quasi-experiments to evaluate the impact of new features, algorithms, and merchandising campaigns.
Live Shopping Optimization (Shows): Analyze viewer engagement, host performance, auction dynamics, and conversion funnels to optimize the Posh Shows ecosystem.
Data Modeling & Visualization: Build and maintain scalable data models and intuitive, automated dashboards (e.g., using Looker or Tableau).
Buying and selling fashion feels simple, joyful, and personal, while every item tells its own story.
Design, execute, and analyze A/B tests and quasi-experiments to evaluate the impact of new features, algorithms, and merchandising campaigns.
Build and maintain scalable data models and intuitive, automated dashboards (e.g., using Looker or Tableau).

Technical Expertise: Expert-level proficiency in SQL.
Visualization: Advanced experience with BI tools such as Tableau, Looker, or similar platforms.
Business Acumen: Proven ability to translate complex data into actionable business recommendations and communicate effectively with non-technical stakeholders.
7+ years of experience in Data Analytics, Data Science, or a related field, with a strong preference for experience in e-commerce, marketplaces, or live streaming.
Expert-level proficiency in SQL.
Advanced experience with BI tools such as Tableau, Looker, or similar platforms.
Proven ability to translate complex data into actionable business recommendations and communicate effectively with non-technical stakeholders.
Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) or equivalent practical experience.

We offer competitive compensation, comprehensive benefits, and a collaborative, inclusive work environment.

Mentor junior data analysts, elevate the team's technical rigor, and promote a data-driven culture across the company.

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