Hybrid NYC Data Intern: AI-Driven SQL & Pipelines

Vendelux

New York (NY)

Hybrid

USD 28,000 - 41,000

Part time

14 days+

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Benefits offered by this job

Real technical impact
Hybrid work environment
Growth opportunities
Autonomy

Job summary

Vendelux is building the category-defining platform for event marketing intelligence in NYC. This paid, part-time role (20+ hours/week) sits on the data team, writing SQL, building pipelines, and using AI tools to power insights the platform depends on.

You’ll work in a hybrid setup at our Midtown Manhattan office, with potential for a full-time role for the right candidate. Familiarity with Python and dashboarding tools is a plus.

Qualifications

  • Proficiency in SQL—write 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.
  • Based in New York City, able to work from Midtown office.

Responsibilities

  • Write SQL queries to analyze events, attendees, and organizations; surface insights for 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 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 ML models.
  • Collaborate with data and engineering teams on data infrastructure and tooling improvements.

Skills

SQL proficiency
Python familiarity
Data analysis

Tools

Looker
Metabase
Tableau

Job description

Vendelux is building the category-defining platform for event marketing intelligence in NYC. This paid, part-time role (20+ hours/week) sits on the data team, writing SQL, building pipelines, and using AI tools to power insights the platform depends on.

You’ll work in a hybrid setup at our Midtown Manhattan office, with potential for a full-time role for the right candidate. Familiarity with Python and dashboarding tools is a plus.

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