Operational Data Analyst Team Lead

Looking for a company that inspires passion, courage and creativity, where you can be on 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 crafting an ambitious and inclusive work environment, join eBay – a company you can be proud to be with.Our Search Engine Optimization (SEO) and landing page teams build features that optimize the way customers use our sites and search engines crawl, index and rank eBay content. We help our customers easily find and reach relevant eBay pages both on site and when searching on search engines like Google, Bing, Yahoo, etc. With literally billions of listings on eBay globally at any time, the scale at which eBay has to consider search engine optimization puts our team in a unique position to innovate and provide immediate value to the business. We are responsible for driving organic traffic that represents billions of dollars worth of goods and services bought on eBay across the globe every day.We are looking for an Operational data analytics lead with people management skills to lead our team which is responsible for data analysis and its validation in our critical landing page platform, category & vertical initiatives. ResponsibilitiesManage a high functioning team of talented data analystsOversee complex data analyses that serve to ensure overall platform healthFacilitate new processes and scaling methods based on a deep understanding of our platform, taxonomy and metadata structures.Define a set of metrics that track and measure data quality of operational deliverables, setting data quality goalsWork with product leads to balance trade-offs in the operations roadmap between business needs, strategic and tactical itemsAnticipate, assess and manage issues and risks independently; perform as needed root cause analysis and recommend mitigation plansBuild, document, and improve processes across geographically distributed teams/partners in order to optimize efficiency in a fast-pace environment Requirements5+ years of working experience managing teams and working with partners within a highly matrixed organization e.g. Data Analysis/Program/Product/EngineeringHands-on experience in analysis of large data sets​​Programing experience in PythonExperience using Python for data analysis (pandas, numpy, matplotlib etc.).Excellent knowledge in SQL (advanced queries, creating DBs, etc.)Ability to understand highly technical issues and complex operational processes to drive issues to resolutionExperience working in an end to end, cross functional environment with operations, engineering, product and project management counterparts Ability to create detailed project plans and track progress against plans, reporting on the status to stakeholdersBeing clear and concise in both verbal and written communications (e.g., functional/technical specifications, status reports, etc.)BA/BSc or higher in STEM, or equivalent experience​#LI-MD2eBay 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 talent@ebay.com.  We will make every effort to respond to your request for disability assistance as soon as possible. View our accessibility info to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. For more information see: EEO is the Law Poster and EEO is the Law Poster Supplement.Jobs posted with location as "Remote - United States (Excludes CO, HI, NM)" excludes residents of Colorado, Hawaii and New Mexico. This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.