StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we’re here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world.

StubHub is seeking for an Analytics Engineer II to join our Acquisition Data & Analytics Engineering team. This team sits at the intersection of data engineering, analytics, and business strategy, supporting some of the most impactful revenue-generating and marketing investment decisions across the company. In this role, you'll tackle complex data challenges across paid search and other acquisition channels, building scalable data solutions and developing tools that help the business make smarter, faster decisions. Your work will span a variety of marketing and acquisition initiatives, including automated bidding, campaign strategy, experimentation, and attribution modeling.

We're looking for someone who brings strong engineering fundamentals, a business-oriented mindset, and the curiosity to challenge existing approaches. You'll have the opportunity to own meaningful projects, influence technical direction, and help shape how we measure and optimize acquisition performance. With an established data foundation already in place, this is an opportunity to focus on innovation, experimentation, and building new capabilities that drive measurable business impact.

Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA

What You'll Do

Design, develop, and enhance scalable data models and analytics solutions that support paid search and broader acquisition channels.
Build data-driven solutions that improve marketing performance, campaign optimization, automated bidding, and acquisition strategy.
Develop and improve measurement frameworks to evaluate marketing effectiveness, experimentation, and attribution across acquisition channels.
Build and optimize automated workflows that improve the scalability and efficiency of acquisition analytics and operations.
Develop monitoring and alerting solutions to identify performance changes, emerging trends, and opportunities across acquisition channels
Apply sound data engineering and modeling principles to build reliable, maintainable, and scalable analytical solutions.
Partner cross-functionally with engineering, analytics, and acquisition stakeholders to translate complex business problems into actionable technical solutions.
Independently drive projects from problem identification through implementation, proactively identifying opportunities to improve existing systems and processes.
Contribute to technical discussions, share ideas, and help shape the team's long-term analytics and engineering strategy.

What You've Done

Approximately 5+ years of relevant experience in analytics engineering, data engineering, or a closely related technical analytics role.
Strong SQL proficiency and hands-on experience developing, transforming, and maintaining analytical data models.
Solid understanding of data modeling concepts, data engineering principles, and best practices for building scalable, reliable data solutions.
Experience independently owning technical projects, navigating ambiguity, and delivering solutions to complex business problems.
Demonstrated ability to connect technical work to business objectives and communicate effectively with technical and nontechnical stakeholders.
Strong problem-solving skills, intellectual curiosity, and a proactive, resourceful approach to identifying and addressing challenges.
Experience collaborating across teams, contributing ideas, and taking ownership without requiring extensive direction.

Nice to Have

Experience with marketing attribution modeling, including multi-touch attribution.