Sports Data Analytics Intern — SQL, Tableau, AI (Paid)

Angel City; Santa Monica (CA); On-site; USD 22,000 - 31,000; Part time

Job summary

Angel City FC is seeking a Data Analytics Intern to join the Data team for the fall semester in Los Angeles. You will gain hands-on experience by supporting ticketing analytics, writing and reviewing code, and preparing dashboards for business KPIs.

Ideal candidates are pursuing a data-related degree, have an interest in sports analytics, and can collaborate across teams while learning SQL, Tableau, and AI in a professional sports environment.

Qualifications

• Currently enrolled or recently graduated in a data-related field.
• Interest in sports, ticket sales, or data.
• Strong organizational skills and attention to detail.
• Strong written and verbal communication.
• Ability to manage multiple priorities and meet deadlines.
• Collaborative mindset to work with diverse teams.
• Curiosity and willingness to learn and take initiative.
• Genuine interest in Angel City FC and our mission.

Responsibilities

• Prepare reports on pricing optimization and forecasting.
• Assist with writing and reviewing code, testing dashboards, and documentation.
• Research and document legacy reporting and KPIs while leveraging AI.
• Research applicable marketing trends and their impact on ticketing.
• Collaborate with Ticket Sales to communicate insights clearly.
• Support additional projects to learn and contribute to the team.

Skills

Analytical mindset

Attention to detail

Written & verbal communication

Team collaboration

Time management

Curiosity & initiative

Interest in sports data

Education

College/university student or equivalent

Tools

SQL

Tableau

AI

Job description

Angel City FC is seeking a Data Analytics Intern to join the Data team for the fall semester in Los Angeles. You will gain hands-on experience by supporting ticketing analytics, writing and reviewing code, and preparing dashboards for business KPIs.

Ideal candidates are pursuing a data-related degree, have an interest in sports analytics, and can collaborate across teams while learning SQL, Tableau, and AI in a professional sports environment.