Senior Data Analyst

SeatGeek

Develop a deep understanding of the live events business and how supply dynamics drive marketplace health

Partner with stakeholders on the Supply, Product, and Engineering teams, understanding their objectives and defining an analytics roadmap to support those goals

Guide seller policy decisions - such as fees, fulfillment standards, and seller performance requirements - by quantifying trade-offs up front and measuring impact after launch

Work directly with the Client Success and Entertainment teams that manage our relationships with sports teams and venues, identifying opportunities to maximize the value of our partnerships and help our clients grow their businesses

Equip account managers with data-driven insights to strengthen seller relationships and uncover growth opportunities

Leverage first-class AI dev tools to build out measurement frameworks, develop key reporting, and collaborate with engineers to drive rapid iteration of features, bringing ideas to life faster than ever before

Conduct exploratory and root-cause analysis to explain shifts in performance and surface pockets of opportunity for improvement

Translate complex analysis into clear, data-driven narratives and recommendations for internal leaders

Create or improve key datasets and contribute to our analytical tooling ecosystem (e.g. dbt, Hex) to ensure we can answer today's questions and tomorrow's

What you have

4+ years of experience working in analytics, data science, or adjacent roles - preferably in tech, ecommerce marketplaces, or consumer products

Expert-level knowledge of SQL and experience performing analysis with large datasets

Demonstrated ability to own ambiguous problem spaces, from framing questions to delivering recommendations

Strong communication skills - able to simplify complex analyses, defend methodology choices, and inspire action through insights

Excited to contribute to a team culture centered around curiosity, humility, and impact

A track record of influencing business strategy with data

Nice-to-have: Domain expertise or past experience with a two sided marketplace

Our stack

You absolutely do not need experience with all of these, but we thought you might be curious. Tools can be learned, so we care much more about your general engineering skill than knowledge of a particular language.

Required languages: SQL (Python nice-to-have)

Data Warehouse: Redshift

Dashboarding: Looker & Hex

Version control: GitLab

AI tooling: Claude Code, Hex Agent

Scheduling/Orchestration: Airflow

ETL: Fivetran, Python and dbt

Event Stream: mParticle

Experimentation: Eppo

Product Analytics: Mixpanel

Perks

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

A WFH stipend to support your home office setup

Unlimited PTO

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

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