Data AI Co Op / Internship
BrainPOP · New York, NY
$52,000
Jul 16, 2026
New York, NY
Jul 21, 2026
What this job asks for AI summary
A fall co-op/internship on BrainPOP's Data team, running September through December 2026, focused on analytics engineering and AI-assisted data workflows. Day-to-day work spans building and validating data models in Snowflake and dbt, developing Tableau dashboards and Streamlit apps, supporting semantic layer and CortexAI model development, and producing ad-hoc analysis for internal business teams. Best suited to a senior undergraduate or graduate student in a computing or data discipline with hands-on SQL, Python, and dashboard experience.
Junior level · New York-Newark-Jersey City, NY-NJ-PA · Internship
Pay in the description: $25/hr
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 80 people in the New York-Newark-Jersey City, NY-NJ-PA area plausibly meet what this posting asks for (operations research analysts). range 50–120
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $105,377 (middle half $70,620–$142,915). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
This is a co-op/internship (fixed term: ~September–December 18, 2026, 40 hrs/week) at $25/hour.
The role spans analytics, data modeling, analytics engineering, and AI — a genuine hybrid. 15-2031 (Operations Research Analysts) was chosen as the primary code because the dominant day-to-day work is analytics, BI reporting, KPI monitoring, and data-driven insights; 15-1243 (Database Architects) is the runner-up given the significant dbt/Snowflake data modeling and semantic layer work.
Degree requirement is listed as 'pursuing a Bachelor's (senior preferred) or Master's in CS, Computer Engineering, or Data Science; recent graduates may be considered' — because equivalent experience is implicitly accepted for recent grads and the role is an internship, the degree requirement is set to None.
Snowflake is listed as a 'plus' in the must-have section ('Snowflake experience a plus') and more fully under 'Strong Plus', so it is treated as preferred overall.
Prompt engineering (YAML + Markdown skill files) is called out as a must-have but names no specific standalone tool — it is captured under the LLMs skill (use of LLM coding assistants like Claude) since both requirements relate to AI-assisted development and structured prompting.
The role is hybrid (Wednesdays in NYC office required); candidates must be within commutable distance of the Flatiron/NYC office, so remote=false.
Stack tools mentioned only in the 'Our data stack consists of…' narrative (Airflow, AWS, Streamlit, Salesforce, NotionAI) are marked preferred, as they appear as context rather than hard gates.
Posting is for a internship engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Read the full posting
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