Help the world experience more live.

SeatGeek was built in 2009 as the only mobile ticketing marketplace created with fan experience top of mind. We’re transforming the way fans buy and sell their tickets to their favorite live events across sports, music, and theater.

While we humbly believe we have the best consumer technology on the market, our mission goes beyond that – by bringing a technology-first approach to an entire industry sorely in need of a better solution, we aim to be a force for good in live entertainment.

SeatGeek’s acquisition of TopTix marks our entrance into the primary market. From then on, we began providing the premier primary ticketing solution on the market, a perfect complement to our best-in-class consumer tech. Now our mission goes beyond the fan experience and brings power, control, and flexibility to rightsholders - reinventing live entertainment for the modern, mobile era.

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 are looking for a Senior Marketing Data Analyst to join our Marketing Sciences team and contribute to continuously optimizing millions of dollars of Marketing spend, leveraging advanced analytics methods and building upon a deep understanding of customers behaviors, interests and preferences.

Partnering closely with our Marketing Leads, you will guide Marketing investment decisions and drive Business impact through (among other things):

• developing a holistic view of Marketing channels efficiency, based on an optimal sales attribution logic, robust experimentations / incrementality testing and CLV predictions.
• optimizing our SEM bidding to fuel customer acquisition or maximize ROI (for example, through identifying valuable new bidding signals and better understanding the interactions with inventory, pricing and product)
• creating custom audiences to improve the relevance & effectiveness of our Marketing touchpoints and enhance customer engagement (in CRM, SEM, Social Media)
• continuing to drive a customer centric mindset within the organization, through sharing insights with our leadership team into customers behaviors and experiences

As a member of the 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

• Own our business relationship with stakeholders on the Marketing team, understanding their objectives and aligning our scope of work to achieve those goals
• Develop our understanding of customers through the synthesis and interpretation of existing and novel data sources and contribute to building our Customer feature store (including model predictions and segments)
• Monitor key performance drivers and communicate the root causes of changes in channels efficiency
• Advance our channel attribution methodologies
• Assist with designing a robust experimentation plan, including incrementality tests (leveraging geo-based experimental design where required) and communicate actionable learnings and recommendations to marketing teams
• Conduct exploratory analysis to identify pockets of under-performance and optimisation levers for our SEM bidding strategy
• Work closely with data engineers to build lasting data modeling solutions, including automating analyses and authoring pipelines via SQL-based ETL frameworks

What You Have

• 3+ years of relevant experience
• A degree or higher in economics, psychology, computer science, statistics, mathematics or another quantitative discipline
• Expert-level knowledge of SQL
• Experience performing analysis with large datasets
• Experience building reports and dashboards using business intelligence tools
• A track record of influencing business strategy with data
• A strong statistical understanding of online testing methodologies and metric development
• Proficiency in a scripting language (Python or R) - nice to have
• Domain expertise or past experience in marketing - nice to have