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.
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