Sr. Lead Data Analyst (Shows & Merchandising)

Department: All Cost Centers

Location: US California (Redwood City) - Office

Employment Type: FullTime

About Poshmark

Poshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection. Powered by a vibrant community of 165 million members, Poshmark brings real people and taste to shopping through a social experience shaped by shared discovery. Buying and selling fashion feels simple, joyful, and personal, while every item tells its own story. 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.

About the Role

We are seeking a highly motivated and experienced Sr. Lead Data Analyst to join our Analytics team. This pivotal role will serve as the analytical powerhouse for two of our most critical domains: Posh Shows (our live shopping experience) and Marketplace Merchandising. You will lead data strategy, define KPIs, and deliver actionable insights that drive product innovation, optimize the live shopping experience, and enhance merchandising strategies to maximize buyer engagement and seller success.

Key Responsibilities

• Strategic Partnership: Act as the primary data partner for Product, Engineering, and Business leaders across both the Shows 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.

• AI-Empowered Productivity: Meaningfully integrate Generative AI tools (e.g., Gemini, Claude, ChatGPT) into your daily workflows to accelerate SQL/Python code generation, automate routine analytics tasks, and enhance overall output efficiency.

• 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.

• Marketplace Merchandising: Analyze supply and demand trends, search & discovery performance, and personalized recommendations to improve inventory liquidity and user engagement.

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

• Data Modeling & Visualization: Build and maintain scalable data models and intuitive, automated dashboards (e.g., using Looker or Tableau).

Requirements

• Experience: 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.

• Technical Expertise: Expert-level proficiency in SQL. Strong programming skills in Python or R for data manipulation and statistical analysis.

• Generative AI Fluency: Practical, hands-on experience using LLMs (e.g., Gemini, ChatGPT, Claude) to write and optimize queries, troubleshoot code, and perform analytics tasks with high efficiency and productivity.

• Visualization: Advanced experience with BI tools such as Tableau, Looker, or similar platforms.

• Experimentation: Deep understanding of A/B testing methodologies, statistical significance, and causal inference techniques.

• Business Acumen: Proven ability to translate complex data into actionable business recommendations and communicate effectively with non-technical stakeholders.

• Leadership: Demonstrated experience leading cross-functional projects and mentoring peers.

• Education: Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) or equivalent practical experience.

Why Poshmark?

Join a mission-driven team where your work will have a direct impact on millions of users. We offer competitive compensation, comprehensive benefits, and a collaborative, inclusive work environment.