Fall Data Intern

Write SQL queries to analyze events, attendees, and organizations; surface insights that directly inform product and business decisions

Build and maintain dashboards to monitor data quality and pipeline health

Identify and resolve data errors in our database; investigate patterns and potential root causes

Use and evaluate AI/LLM-enabled tools to generate, validate, and manage large datasets

Conduct structured research to identify and validate key data inputs for machine learning models

Collaborate with the data and engineering teams on data infrastructure and tooling improvements

Based in New York City and able to work from our Midtown office

Available ~20+ hours per week

Proficiency in SQL — you're comfortable writing non-trivial queries against real datasets

Familiarity with Python is a strong plus

Experience with dashboarding tools (Looker, Metabase, Tableau, or similar) is a plus

Detail-oriented with high ownership over your work

Genuinely curious about data, AI, and how systems are built

Real technical impact: The data you clean, model, and ship directly powers what customers see and trust

Cutting-edge problems: Work on applied ML, LLM pipelines, recommendation systems, and large-scale data quality challenges

Ownership: You'll operate with genuine autonomy and set your own bar

Growth: Learn how a high-quality data team operates at a Series B company scaling fast