Senior Data Analyst, Product
$108k - $156kSeatGeek
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 and marketing data, and has a passion for identifying the most meaningful opportunities to improve user and business outcomes. What You'll Do
#LI-Remote
- 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
- 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
- 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), and/or familiarity with leading marketing tech
- 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)
#LI-Remote
Vacancy posted 4 days ago
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