You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
SeatGeek

Senior Data Analyst, Supply

  • Remote
  • 6+ years

Salary

$108,000 - 157,000/ year

AI summary

For members

The whole posting in a few lines. Sign up to read it here and on every role you open.

Sign Up to Read

Description

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.

We're looking for a Senior Data Analyst to join our Analytics team and focus on the supply side of SeatGeek's marketplace. You'll partner with stakeholders across the Supply organization, with extra focus on our seller and client-facing teams. Using advanced analytics, you'll turn raw data into insights that shape decisions, surface opportunities, and drive measurable results.

This is a high-impact individual contributor role for someone who thrives on ambiguity, knows how to connect business strategy to marketplace and product data, and has a passion for identifying the most meaningful opportunities to improve user and business outcomes. As a member of SeatGeek’s Analytics team, you will be able to collaborate with and learn from a group of high-performing analysts, data scientists, and engineers.

Responsibilities

  • 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

Benefits

  • 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
  • The salary range for this role is $108,000 - $157,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.
  • SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!
  • LI-Remote

Where you’d work

Fully remote

You can work from

  • United States

About the company

SeatGeek

  • Industry: E-commerce

Also hiring in New York, United States

8 of their 15 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 2 red flags

Still hiring?

14 checks

1 red flag

How crowded?

7 checks

1 red flag

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details13 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • SQL
  • dbt
  • Looker
  • Airflow
Seniority
Senior
Type
Full-time
Equity
Equity offered
Industry
E-commerce
Specialty
Data Analyst
Show 7 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Analyst
Seniority
Senior
Experience
4+ years
Tech stack
  • Python
  • SQL
  • dbt
  • Looker
  • Airflow

Location

Work model
Remote
Region
United States
Remote from
  • United States

Compensation

Salary
$108,000 - 157,000 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

Company

Industry
E-commerce

Something wrong with this vacancy?

Similar vacancies

Share this vacancy

What's wrong with it?

The employer never sees who reported.

Reason