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.
Responsibilities:
Analyze eBay’s large and rich datasets, drive insights from data to diagnose the root cause behind trends and ultimately improve our user experience.
Build machine-learning models to predict user behaviors and infer marketing performance, support business decisions through trusted and well-defined model results.
Measure and optimize ongoing performance for marketing activities based on data-driven insights, understand key drivers and identify new marketing opportunities by focusing on bankable metrics. Deep-dive into campaign performance and provide insights into what is working and why
Mine data to optimize marketing campaigns, revenue growth, and customer experiences. Perform customer segmentation to understand target audiences better.
Develop strategies for channel optimization and content strategy.
Design, develop, and execute experimentation frameworks, including A/B testing and uplift modeling, to measure marketing effectiveness.
Develop and implement solutions for Marketing Mix Modeling (MMM) and Marketing Attribution (MTA).
Provide data support for business operation, design self-service tools, dashboards etc.
Communicate business performance in a clear and insightful way to the business.
Develop, improve and systemize crisp & accurate reporting. Streamline processes and identify/execute on automation and time-saving opportunities. Leads automation of recurring tasks.
Translates business problems into a scientific formulation for an AI/Analytics Product solution. Defines requirements and collaborates with engineers to build and productionize AI enabled Analytics Products.
Job Skills required:
Intellectual curiosity, passion for problem-solving, and comfort with ambiguity.
A passion for understanding and serving the unique community of eBay.
Sound business judgment and quantitative analytic ability.
Strong communication skills and experience presenting complex quantitative analysis into action-oriented recommendations.
Understand a variety of machine-learning techniques (regression, clustering, decision tree learning, etc.) and their real-world advantages/drawbacks.
Effective team player and works well within a team and contributes effectively to the success of those interactions regularly.
Prior experience or deep knowledge of Performance Marketing and/or Brand Marketing will be highly preferred.
Desired Qualifications:
BA/BS in Mathematics, CS, Statistics, Economics, Business, or other related fields.
5+ years hands-on work experience in data analysis, with a focus on onsite web analytics, A/B testing, machine learning and report automation.
Skilled in database query tools utilizing SQL, and Hadoop experience is a plus.
Good Excel and PowerPoint skills, proficiency with statistical analysis tools such as Python or R.
Knowledge of AI tools and techniques, such as Gemini, GPT, LLMs etc.
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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 [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
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