Senior Data Analyst, Marketplace Supply — Remote

SportsTechJobs

New York (NY)

Hybrid

USD 108,000 - 157,000

Full time

14 days+

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Benefits offered by this job

Equity stake
Discretionary annual bonus
Flexible work environment (office or 0
WFH stipend
Unlimited PTO
401(k) matching
Health, vision, dental, and life ins.
Family-building support

Job summary

SeatGeek is seeking a Senior Data Analyst to join the Analytics team and focus on the supply side of its marketplace. You will partner with stakeholders across Supply, Product, and Engineering to develop an analytics roadmap and drive measurable results.

You will own analytics projects from framing questions to delivering recommendations, using SQL and your experience with large datasets. The role emphasizes collaboration with seller and client-facing teams and building scalable measurement

Qualifications

  • 4+ years of experience in analytics, data science, or adjacent roles.
  • Expert-level knowledge of SQL and large dataset analysis.
  • Strong ability to translate analyses into actionable recommendations.

Responsibilities

  • Develop a deep understanding of supply dynamics and marketplace health.
  • Partner with Supply, Product and Engineering to define an analytics roadmap.
  • Quantify trade-offs in seller policy decisions and measure impact post-launch.
  • Provide data-driven insights to account managers and client-facing teams.
  • Build measurement frameworks and dashboards using the data stack (dbt, Looker, Hex).
  • Translate complex analyses into clear narratives for executives and stakeholders.

Skills

4+ years analytics
SQL
Communication

Tools

Redshift
Looker
Hex
GitLab
Claude Code
Hex Agent
Airflow
Fivetran
dbt
mParticle
Eppo
Mixpanel

Job description

SeatGeek is seeking a Senior Data Analyst to join the Analytics team and focus on the supply side of its marketplace. You will partner with stakeholders across Supply, Product, and Engineering to develop an analytics roadmap and drive measurable results.

You will own analytics projects from framing questions to delivering recommendations, using SQL and your experience with large datasets. The role emphasizes collaboration with seller and client-facing teams and building scalable measurement

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