Data Analytics Lead

  • Company: eBay
  • Location: San Jose, California
  • Posted: December 21, 2017
  • Reference ID: R0021668

Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of.

eBay is passionately committed to re-inventing commerce and making it simpler, more accessible and more rewarding. To do this, eBay is developing innovative experiences aimed at simplifying shopping thanks to structured data. This role plays a critical part in supporting the Structured Data Initiative, using data and analytical rigor to inform strategy and decision-making, focusing on the classification and taxonomy domains. 

Role Description

The role is data and analytically intensive.  Successful candidates should be quick learners, strategic thinkers, operational and execution driven facilitators, team leaders, problem solvers, and have an entrepreneurial spirit. This role is heavily cross-functional and ideal for candidates who enjoy both defining and solving complex problems, while getting deeply involved in the classification domain and product partners.  Skills in problem definition, rigorous analysis, and recommendation development will also be critical as well as demonstration of exceptional interpersonal skills, initiative and integrity.


  • Key member of the Classification and Taxonomy domain which is part of structured data initiative. Focusing on the Domain Performance and Deliveries.
  • Structure complex, ambiguous business questions and utilize analytical skills to synthesize actionable insights to the benefit of leaders in the organization
  • Mine large sets of data to inform and understand the impact of taxonomy changes and delivery towards goals
  • Identify and develop appropriate metrics, tools and processes to drive taxonomy health
  • Collaborate with other analysts/data scientists and help guide strategy based on learning from other analyses/projects across the organization
  • Perform ad-hoc analysis and product performance analysis as needed
  • Create and maintain insightful automated reports and dashboards utilizing typical data quality functions (e.g. standardization, consistency, etc.)


  • Bachelor’s degree in Computer Science, Engineering, MIS or other quantitative fields
  • 6+ years’ of professional experience in using data to facilitate business decisions
  • Extensive experience in BI/DW best practices
  • Excellent SQL, Tableau, Excel and PowerPoint skills
  • Exceptionally attentive to detail and embracing of teamwork
  • People-oriented; eager to build positive and productive relationships with a variety of stakeholders
  • Experience manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
  • Ability to shift priorities quickly, while maintaining a high degree of organization and control

More about our Structured Data org

Structured Data is the engine powering the transformation and differentiation of our commerce experience. Teams in Structured Data design and manage systems powered by machine learning and artificial intelligence with unique scale and complexity to ultimately bring to life personalized commerce experiences tailored to each eBay user’s needs, interests and passions. With more than one billion items from new, to nearly new to used listed at eBay, our mission is to create most powerful buying and selling platform with most relevance to our users.

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eBay Inc. 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 are unable to submit an application because of incompatible assistive technology or a disability, please contact us at  We will make every effort to respond to your request for disability assistance as soon as possible.

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