Analytics Engineer II - Paid Search / Acquisition

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.
• Exposure to paid search, performance marketing, digital acquisition, or marketing analytics.
• Experience with marketing experimentation, campaign optimization, or automated bidding systems.
• Experience building automated data workflows or developing monitoring and alerting solutions.
• Experience working with complex, high-volume data in a marketplace, e-commerce, or similarly data-driven environment.

What We Offer

• Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
• Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact.
• Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.
• Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.

The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits.