Senior Data Analyst, Product

SeatGeekNew York, NY
63d$105,000 - $147,000

About The Position

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 data, and has a passion for identifying the most meaningful opportunities to improve user and business outcomes.

Requirements

  • 4+ 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

Nice To Haves

  • 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

Responsibilities

  • Partner closely with product, design, and engineering 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 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

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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