Senior Product Analyst - Search

At eBay, were more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. Were in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

Role: Senior/Lead Product Analyst – Search

Overview

We are seeking a Senior Product Analyst/ Lead Product Analyst to join the Search Product Analytics function at eBay. In this role, you will partner closely with the Search product and engineering teams, leveraging eBay’s vast data ecosystem to uncover insights, influence the Search roadmap, and drive customer-centric innovation across our marketplace.

This role combines hands-on analytics depth and experimental design and implementation awareness.

Key Responsibilities

• Product Analytics Ownership: Own analytics for a major Search product area (e.g., ranking, relevance, personalization, or query understanding). Prior search experience is preferred but not necessary.
  
  
  

Develop structured hypotheses grounded in data and user behavior tracking.

• Experimentation Design: implement, and interpret A/B tests and causal inference studies. Translate complex analytical outcomes into clear, actionable insights
• Cross-Functional Collaboration: Act as the analytics link between Search, Personalization, Ads, and Buyer Experience teams to ensure complete understanding of user intent and behavior.
• Analytical Craft & Execution Excellence: Deliver high-quality, scalable analyses using SQL, Python, and visualization tools. Build reusable datasets and dashboards to enable faster decision-making.
  
  
  

Raise the bar on analytical rigor and clarity within the immediate team.

Required Skills & Experience

• 3-7 years of experience in product analytics, or experimentation roles
• Strong command of A/B testing design, causal inference, and experimentation measurement.
• Deep expertise in SQL, Python, and data visualization tools
• Strong foundation in statistics, and data-driven hypothesis testing.
• Proven track record of delivering insights that drive measurable product impact.
• Strong communication skills — able to translate data into actionable narratives
  
  
  

Preferred Qualifications

• Experience in Search, ranking systems, personalization, or marketplace platforms
• Familiarity with experimentation platforms and large-scale data systems
• Exposure to machine learning model evaluation and relevance metrics
• Experience improving metric definitions or building reusable analytics frameworks
• Advanced degree in a quantitative field (nice to have, not required)
  
  
  

What You’ll Gain

• Opportunity to shape the future of eBay’s Search experience, a core pillar of buyer engagement.
• High visibility and ownership over analytics strategy for one of eBay’s most data-rich domains.
• A collaborative environment that encourages innovation, curiosity, and technical excellence.
  
  
  

Additional Details

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBays commitment to ensuring digital accessibility for people with disabilities.

We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.

---