Summer 2027 Internship - People Intelligence Intern

Summer 2027 People Intelligence Internship
Location: New York, New York (5 days/week, on-site)
Program Dates: June 7, 2027 – August 13, 2027

About the Company

Fanatics Collectibles is a new company operating at the intersection of collectibles, culture, and technology. Backed by world-class investors, operators, and sports & entertainment partners, we are building the global leader in next-generation collectibles. As part of the broader Fanatics ecosystem, we leverage a digital sports platform that spans over 900 sports properties and engages more than 81 million fans. Together, we are reimagining every part of the collectibles experience for fans, partners, and creators.

Who We Are

Fanatics Collectibles is a global product and technology company dedicated to redefining the world of collectibles. Through iconic brands like Topps, we create innovative physical and digital products that connect fans and collectors to the sports, entertainment, and culture they love.

Backed by Fanatics, the world's leading sports merchandise and collectibles company, we operate with the speed and creativity of a startup while leveraging unmatched scale, partnerships, and licensing relationships. Our teams collaborate across product, creative, operations, marketing, and licensing to deliver best-in-class collectibles to fans around the world.

About the Role

Fanatics Collectibles is seeking a People Intelligence Intern to join our team for Summer 2027. This role is part AI engineer, part data engineer: you will build AI-powered tools and workflows that connect the dots across workforce data and turn it into insights that inform business decisions, and help build out the People Intelligence data foundation in Snowflake that powers them.

You'll gain hands-on experience in AI-powered automation, analytics, and data engineering, working with AI tools such as Claude, ChatGPT, and Grok alongside Snowflake, Oracle HCM, SQL, and Python to build agent workflows, develop reliable data models, and support reporting and AI-driven solutions.

This role is ideal for someone who is analytically minded, already building with AI rather than just curious about it, and wants to own real work on a small team. You'll own a defined project and present it to HR leadership at the end of the summer.

What You'll Do

• Build AI-Powered Tools and Workflows: Design, test, and maintain AI agent and automation workflows on top of our people data, including recurring reporting, data validation, and stakeholder requests, with outputs that are repeatable and auditable.
• Connect the Dots with AI: Use AI to join signals across people data, including retention, hiring pipeline health, organizational effectiveness, and employee experience, and turn them into analyses and insights leaders can act on.
• Support Employee Lifecycle Programs: Partner with our Employee Lifecycle team to build tools, trackers, and automations for the HR calendar's tentpole events, such as performance and talent reviews, promotion cycles, compensation planning, and engagement surveys, reducing manual work and giving the HR team clearer visibility.
• Build the People Data Foundation: Help extend our People Intelligence data environment in Snowflake, already underway, that powers that AI work, bringing workforce data from Oracle HCM and other people systems into governed, well-documented data models.
• Develop and Maintain Pipelines: Help build new pipelines and harden existing ones that move data from source systems into Snowflake, with validation checks so what lands is complete, consistent, and trusted.
• Validate and Reconcile Data: Use SQL and Python to connect, structure, and reconcile people data across systems, trace data quality issues to their root cause, and document the fixes.
• Document the Work: Create and maintain clear documentation for what you build and the data behind it, including metric definitions, data dictionaries, process maps, and standard operating procedures, so the work is repeatable and the team can pick it up after the summer ends.
• Translate for the Business: Turn technical work into plain language that HR business partners and leaders can use, and partner with the People team to understand the real question behind each request.

What You Bring

• Currently pursuing a bachelor's or master's degree in Computer Science, Data Science, Information Systems, Business Analytics, Statistics, Economics, Industrial/Organizational Psychology, or a related field.
• Working knowledge of SQL and Python used on real data (coursework and personal projects count), and a foundational understanding of how data moves between systems: ETL, pipelines, and data modeling.
• Hands-on experience building with AI tools such as Claude, ChatGPT, Grok, or similar, beyond everyday use. You have used AI to write code, automate a workflow, or analyze data, and you can show us something you made. Experience with AI agents or agentic workflows is a strong plus.
• Something you built that other people used: a script, an app, a dashboard, an automation, or a class project that went further than it needed to. We will ask to see it.
• Strong analytical and problem-solving skills, with the attention to detail to work through complex datasets and a habit of validating your own work before anyone else has to.
• Comfort handling confidential people data with discretion and good judgment.
• Curiosity about people, not just data: an interest in what the numbers mean for how an organization works, paired with the initiative to learn new tools quickly and collaborate across teams.

Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com). For added security, where possible, apply through our company website at www.fanaticsinc.com/careers