Lead Data Analyst

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 Lead Data Analyst to join this team. This is a high-impact, high-autonomy individual contributor role for someone who thrives on ambiguity, knows how to connect business priorities to product 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, and engineering to help shape the roadmap by evaluating potential impact, sizing opportunities, and synthesizing complex data into actionable narratives
• Independently lead large-scale 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 product analytics with broader company strategy and market trends
• Create or improve key datasets and contribute to our analytical tooling ecosystem (e.g., Looker, dbt, Hex) 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

• 6+ years of experience working in product analytics, data science, or adjacent roles — preferably in tech, ecommerce marketplaces, or consumer products
• Experience working on product growth, engagement loops, or retention strategy
• Deep fluency in SQL and comfort with Python or R for exploratory analysis and modeling
• Experience with A/B testing, experimentation platforms, and interpreting complex product behaviors through data
• Excellent product sense to rival that of the best product managers you’ve worked with
• 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
• 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
• Bonus points for prior experience in B2B2C businesses , experience contributing to or building data infrastructure (e.g., event tracking, dbt modeling), or bringing AI-driven consumer-facing products to market

Our stack

• Scheduling/Orchestration: Airflow
• ETL: Fivetran, Python and dbt
• Data Warehouse: Redshift
• Event Stream: mParticle
• Experimentation: Eppo
• Product Analytics: Mixpanel
• Dashboarding: Looker & Hex 
• Code versioning: Gitlab
• Required languages: SQL and Python

Perks

• Equity stake
• Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
• A WFH stipend to support your home office setup
• Unlimited PTO
• Up to 16 weeks of fully-paid family leave 
• 401(k) matching program
• Student loan support resources
• Health, vision, dental, and life insurance
• Up to $25k towards family building and reproductive health services
• Gender-affirming care support program
• $500 per year for wellness expenses
• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
• $120 per month to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music

The salary range for this role is $125,000 - $180,000 USD. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, ye