AI-Powered People Intelligence Associate

Fanatics Collect

New York (NY)

On-site

USD 115,000 - 144,000

Full time

12 days ago

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Job summary

Fanatics Collectibles is hiring an Associate, People Intelligence to build an AI-native people analytics function. The role sits at the intersection of workforce analytics, data, AI, systems, and process automation, turning people data into decisions and practical tools.

You’ll develop dashboards, automations, and AI-enabled workflows to empower HR and leaders. You will translate data into clear stories, connect AI to sensitive HR data safely, and drive governance, standardization, and scalable

Qualifications

1–3+ years in data, analytics, business systems, HR systems, process improvement, automation, or a related technical or analytical role.
Proficiency in SQL, with foundational knowledge of data modeling, data structures, and how information moves across systems.
Hands-on experience using AI tools, agents, or AI-assisted workflows—such as Claude, ChatGPT, or similar platforms—to complete analytical, technical, or operational work.
Experience building or prototyping internal tools, automations, Web App-based experiences, or deliverables using code, low-code/no-code platforms, or AI-assisted development.
Experience mapping and documenting processes, data flows, system interactions, requirements, controls, and ownership, with a foundational understanding of data privacy, security, role-based access, quality, and governance.
Demonstrated ability to identify issues in data, systems, or workflows; carry improvements from problem definition through testing and implementation; and translate stakeholder needs into workable solutions across technical and non-technical teams.
Comfort operating in a fluid, fast-moving environment where processes, tools, and standards are still being built, with strong attention to detail and a habit of validating outputs.
Bachelor’s degree in Analytics, Statistics, Economics, Information Systems, Organizational Behavior, Computer Science, or another relevant quantitative, technical, or social science field.

Responsibilities

Build and maintain analyses, dashboards, reports, and AI-powered intelligence experiences that answer meaningful workforce questions—including retention, hiring-pipeline health, skills gaps, organizational effectiveness, workforce planning, and employee experience—and give HR, Recruiting, Finance, and business leaders self-service access to reliable, actionable insights.
Write SQL to connect, structure, and validate people data across source systems, Snowflake, and downstream tools; support governed data models and data lake and data warehouse environments; and resolve data-quality issues at the root cause.
Design, build, test, document, and maintain internal applications, interactive Web App-based documents and tools, AI-agent and automation workflows, prototypes, and self-service experiences that make people data and processes intuitive, secure, repeatable, and auditable.
Partner with Employee Lifecycle and other People teams to map and improve end-to-end programs, reducing manual effort, duplicate entry, unnecessary handoffs, control gaps, and employee or manager friction through automation, standardization, and streamlined design.
Create and maintain current- and future-state process and data maps, source-to-target mappings, system and data-flow diagrams, data dictionaries, ownership documentation, standard operating procedures, and related technical documentation.