Senior Data Analyst, Product

About the role

SeatGeek is transforming the live events industry with a fan-first approach powered by data and technology. The Product Analytics team provides insights to empower the Product, Engineering, and Design teams.

Responsibilities

• 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

Requirements

• 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

Qualifications

• Bonus points for prior experience in B2B2C businesses, experience contributing to or building data infrastructure (e.g. event tracking, dbt modeling), and/or familiarity with leading marketing tech

Skills

• Scheduling/Orchestration: Airflow
• ETL: Fivetran, Python and dbt
• Data Warehouse: Redshift
• Event Stream: mParticle
• Experimentation: Eppo
• Product Analytics: Mixpanel
• Dashboarding: Looker & Hex
• Version control: Gitlab
• AI tooling: Claude Code, Hex Agent
• Required languages: SQL (Python nice-to-have)

Benefits

• Equity stake
• Discretionary annual bonus
• Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
• AWFH stipend to support your home office setup
• Unlimited PTO
• Eligible for the SG discretionary annual bonus based on individual and company performance
• Up to 16 weeks of fully-paid family leave
• 401(k) matching
• Student loan matching program
• Health, vision, dental, and life insurance
• Up to $25k towards family building, reproductive health services and Gender-affirming care
• $500 per year for wellness expenses
• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
• $360 per quarter to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music

Pay

The salary range for this role is $108,000 - $156,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.