At eBay, we're 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. We're 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. About the team and the role: eBay, Inc. seeks Data Science - Analyst 4 in San Jose, CA What you will accomplish: Job Duties: Perform day-to-day data operations, including ingestion, analysis, modeling, and distribution using SQL, R, and Python, to support marketing initiatives. Collaborate with marketers and product managers to identify key performance metrics, create reports, and perform analytics. Develop standardized reporting packages in the Tableau environment to assess the effectiveness and ROI of advertising strategies. Analyze large datasets to identify usage patterns and communicate findings to marketing, product management, engineering, and finance teams. Design optimal data architecture for efficient management of marketing data and automate system controls for campaign operations. Utilize eBay’s extensive databases for data extraction and transformation to identify solutions that enhance overall campaign performance. Conduct A/B testing to evaluate process enhancements, perform data modeling to forecast outcomes, and present analysis. Focus on causation, attribution, and incremental lift to assess the marginal benefits against costs of initiatives. Determine KPIs, data, features, and events to evaluate success and its causes. Examine existing marketing campaigns for scaling and efficiency opportunities. Utilize experimentation, predictive modeling, and data storytelling to optimize marketing efforts and enhance user engagement. Partial telecommuting permitted from within a commutable distance.