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Salary: USD 108,000 - 157,000 / annual
SeatGeek is seeking a Senior Data Analyst to join the Analytics team and focus on the supply side of its live events ticketing marketplace. This is a high-impact individual contributor role partnering with stakeholders across the Supply organization, with emphasis on seller and client-facing teams.
You will develop deep understanding of live events business dynamics and how supply health drives marketplace performance. Key responsibilities include:
• Partner with Supply, Product, and Engineering teams to define analytics roadmaps aligned with business objectives
• Guide seller policy decisions (fees, fulfillment standards, performance requirements) by quantifying trade-offs and measuring post-launch impact
• Work directly with Client Success and Entertainment teams managing sports teams and venues to identify partnership value maximization opportunities
• Equip account managers with data-driven insights to strengthen seller relationships and uncover growth opportunities
• Leverage AI dev tools to build measurement frameworks, develop key reporting, and collaborate with engineers on rapid feature iteration
• Conduct exploratory and root-cause analysis to explain performance shifts and surface improvement opportunities
• Translate complex analysis into clear narratives and actionable recommendations for internal leaders
• Create or improve key datasets and contribute to analytical tooling (dbt, Hex) to support current and future analytical needs
The role offers flexibility with hybrid work options (in-office or 100% remote), equity stake, discretionary annual bonus, unlimited PTO, and comprehensive benefits including health insurance, 401(k) matching, up to 16 weeks paid family leave, and $360/quarter for live event tickets.
REQUIREMENTS:
• 4+ years of experience in analytics, data science, or adjacent roles (preferably tech, ecommerce marketplaces, or consumer products)
• Expert-level SQL knowledge and experience analyzing large datasets
• Demonstrated ability to own ambiguous problem spaces from framing through recommendations
• Strong communication skills: simplify complex analyses, defend methodology, inspire action through insights
• Track record of influencing business strategy with data
• Nice-to-have: Two-sided marketplace domain expertise or experience
Technical stack (not required to know all): SQL (Python nice-to-have), Redshift, Looker, Hex, GitLab, Claude Code, Hex Agent, Airflow, Fivetran, dbt, mParticle, Eppo, Mixpanel.
