Lead Data Analyst

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SeatGeek

💵 $125k-$180k
📍Remote - United States

Summary

Join SeatGeek's Product Analytics team as a Lead Data Analyst and help shape the roadmap by evaluating potential impact and synthesizing complex data into actionable narratives. Lead large-scale analytical efforts, from opportunity sizing to experimental design. Serve as a strategic thought partner in product development, contextualizing product analytics with broader company strategy and market trends. Create or improve key datasets and contribute to the analytical tooling ecosystem. Frame and evaluate experiments using industry-best methodologies. Mentor peers in analysis design, storytelling, and stakeholder engagement. Represent analytics in leadership forums, shaping cross-functional discussions. This high-impact role requires strong analytical, communication, and collaboration skills.

Requirements

  • 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

Responsibilities

  • 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

Preferred Qualifications

  • Prior experience in B2B2C businesses
  • Experience contributing to or building data infrastructure (e.g., event tracking, dbt modeling)
  • Bringing AI-driven consumer-facing products to market

Benefits

  • 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

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