SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.
We're looking for a Senior Data Analyst to join our Analytics team and focus on the supply side of SeatGeek's marketplace. You'll partner with stakeholders across the Supply organization, with extra focus on our seller and client-facing teams. Using advanced analytics, you'll turn raw data into insights that shape decisions, surface opportunities, and drive measurable results.
This is a high-impact individual contributor role for someone who thrives on ambiguity, knows how to connect business strategy to marketplace and product data, and has a passion for identifying the most meaningful opportunities to improve user and business outcomes. As a member of SeatGeek’s Analytics team, you will be able to collaborate with and learn from a group of high-performing analysts, data scientists, and engineers.
What you'll do
- Develop a deep understanding of the live events business and how supply dynamics drive marketplace health
- Partner with stakeholders on the Supply, Product, and Engineering teams, understanding their objectives and defining an analytics roadmap to support those goals
- Guide seller policy decisions — such as fees, fulfillment standards, and seller performance requirements — by quantifying trade-offs up front and measuring impact after launch
- Work directly with the Client Success and Entertainment teams that manage our relationships with sports teams and venues, identifying opportunities to maximize the value of our partnerships and help our clients grow their businesses
- Equip account managers with data-driven insights to strengthen seller relationships and uncover growth opportunities
- Leverage first-class AI dev tools to build out measurement frameworks, develop key reporting, and collaborate with engineers to drive rapid iteration of features, bringing ideas to life faster than ever before
- Conduct exploratory and root-cause analysis to explain shifts in performance and surface pockets of opportunity for improvement
- Translate complex analysis into clear, data-driven narratives and recommendations for internal leaders
- Create or improve key datasets and contribute to our analytical tooling ecosystem (e.g. dbt, Hex) to ensure we can answer today’s questions and tomorrow’s
What you have
