About the role
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. SeatGeek is on a mission to transform the live events industry with a fan-first approach powered by data and technology. Our Product Analytics team sits at the heart of that transformation — empowering our Product, Engineering, and Design teams with the insights they need to build magical experiences for fans and powerful tools for our partners. We’re looking for a Senior Data Analyst to join this team. This is a high-impact individual contributor role for someone who thrives on ambiguity, knows how to connect business strategy to product and marketing data, and has a passion for identifying the most meaningful opportunities to improve user and business outcomes.
What You'll Do Partner closely with product, design, engineering, and marketing to shape team roadmaps by sizing opportunities, evaluating impact, and synthesizing complex data into actionable narratives Independently lead analytical efforts, from opportunity sizing to experimental design and deep-dive diagnostics, using both structured and unstructured data Serve as a strategic thought partner in product development planning by contextualizing analytics with broader company strategy and market trends Create or improve key datasets and contribute to our analytical tooling ecosystem (e.g. dbt, Hex, Mixpanel) to ensure we can answer today’s questions and tomorrow’s Frame and evaluate experiments using industry-best methodologies to isolate causal effects and interpret noisy data Mentor peers in analysis design, storytelling, and stakeholder engagement — even without direct management
responsibilities Represent analytics in leadership forums, shaping cross-functional discussions and ensuring analytics is embedded in SeatGeek’s most important product decisions What You Have 4+ years of experience working in analytics, data science, or adjacent roles — preferably in tech, ecommerce marketplaces, or consumer products Experience working on engagement loops or retention strategy Deep fluency in SQL and comfort with Python or R for exploratory analysis and modeling Demonstrated ability to own ambiguous problem spaces, from framing questions to delivering recommendations A systems-thinking mindset — you enjoy mapping out how product and business components interact and impact fan experience Experience with A/B testing, experimentation platforms, and interpreting complex product behaviors through data Strong communication skills — able to simplify complex analyses, defend methodology choices, and inspire action through insights Collaborative mindset and emotional intelligence — you’re someone stakeholders seek out for thought partnership, not just dashboards Excited to contribute to a team culture centered around curiosity, humility, and impact
