Data AI Co Op / Internship

About the Role

BrainPOP's Data team works across enterprise analytics initiatives to empower the business every day with the latest and greatest data assets. We partner with Finance, GTM, Product and all other parts of business to understand their challenges and provide them with actionable data-driven insights. We pair traditional analytics, designed experimentation and dashboard reporting with AI-driven approaches, like creating semantic models to help business self-serve with real-time insights, Cortex AI-based data science models to predict churn, and python applications to drive movie content analytics.

In this co-op/internship, you'll learn about empowering analytics with AI - a full stack experience that will span across analytics, experimentation, reporting, data modeling within analytics-engineering along with strong focus on AI based capabilities.

We are looking for someone who has the curiosity to use the latest and greatest technologies plus AI as an impact-accelerator across the enterprise. This role is a great fit for someone who thrives in a dynamic and agile environment and can move with an experimental mindset to work with the Data team & business stakeholders in Marketing, Product, Finance and GTM.

You will get exposure to the systems, tools and AI pipelines we use to optimize our business along with the opportunity to work with real world business problems. Our data stack consists of modern data tools like Snowflake, dbt, Airflow, AWS along with Streamlit, python that we use for experimentations, AI platforms like CortexAI, NotionAI, Tableau on the BI side, Salesforce as our CRM.

Details

The opportunity will be from September (7 or 14) through December 18, 2026, Monday to Friday from 9:00 am to 5:30 pm Eastern (40 hours weekly, 8 hours daily with 30 minutes lunch).

We are a hybrid workplace, and a candidate within commutable distance of our NYC office (Flatiron area) who is available to spend Wednesdays in the office is strongly preferred.

The pay rate is $25/hour.

In This Role, You Will

Enhance analytics, experimentation and BI capability for business

• Produce ad-hoc analysis from Snowflake (our Data Warehouse) or other in-house telemetry systems as required for Marketing, Product, Finance and GTM with focus on
• Data modeling & validation as required for Tableau dashboards, along with deployment of dashboards as needed
• Translating Tableau workflows into Streamlit apps as required for experimentation
• Analysis of teacher segmentation & usage patterns within our products
• Monitor key performance indicators (KPIs) related to user engagement, product usage, and revenue metrics. Identify areas for improvement and optimization and provide recommendations to enhance performance & identify trends, patterns and opportunities
• Ensure data accuracy, consistency, and completeness across all systems

Support building AI workflows within the CortexAI semantic layer

• Design data models and analytic frameworks for repeatable workflows- product usage analytics, account churn, book of business renewals, customer feedback - and turn them into a reusable, invokable tool using Snowflake and dbt, modeled in the semantic layer for quick business insights through CortexAI
• Transform raw Snowflake data into reusable data models that can be pipelined into dbt & the semantic layer
• Help in modeling, documentation & QA for CortexAI models to support semantic view for natural language query capability
• Write and iterate on prompt & skill structures (YAML Markdown skill files) based on output quality and stakeholder feedback
• Evaluate model outputs rigorously and enable business to produce analyst-quality output using semantic layer capability

On Your Resume

Must haves

• Pursuing a Bachelor's degree (senior preferred) or a Master's degree in Computer Science, Computer Engineering, Data Science; recent Bachelor's/Masters graduates may be considered
• Background in analytics, data, data engineering or a tech adjacent role. We are looking for a full stack person who can span the worlds of analytics, data modeling, AI and analytics engineering.
• Team player; able to work independently, as well as collaboratively within the Data team and cross functionally
• SQL, including CTEs & window functions (Snowflake experience a plus)
• Python --- comfortable writing Python for data transformation and automation
• AI-assisted development --- You have used an LLM coding assistant like Claude or equivalent to structure prompts clearly
• Some experience in prompt engineering --- You can write a structured prompt (YAML Markdown or equivalent) that helps others think through context, instructions, examples, and output format
• Some experience building dashboards or data visualizations that tell a clear business story with tools like Tableau

Strong Plus

• dbt --- Model authoring & YAML tests in a cloud warehouse context
• Snowflake Cortex --- Cortex Analyst, Cortex Agents, Dynamic Tables, semantic views or ability to learn quickly
• Comfortable working in Git (PRs, branches, code review)
• Understands stakeholder needs and can translate between the worlds of AI, data, and business to enable strategic insights
• Understands subscription based business models
• Basic understanding of statistics/experimental design

Location:

The BrainPOP team operates in a hybrid work environment: Each role has remote flexibility and an in-person component at our New York headquarters or other meeting locations. Based on the requirements of a specific role, we may prioritize hiring within a commutable distance of our New York headquarters or in another region relevant to that role.

We can employ individuals residing in the following approved hiring states:

• Arizona
• California
• Connecticut
• Florida
• Georgia
• Illinois
• Massachusetts
• Minnesota
• Missouri
• New Jersey
• New York
• North Carolina
• Ohio
• Oregon
• Pennsylvania
• South Carolina
• Tennessee
• Texas
• Washington

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