AI Execution & Prototyping Analyst

Summary

Legends Global is a partner to live events, venues, and brands, delivering integrated services across venue management, sales, hospitality, and related operations. The AI Execution & Prototyping Analyst will rapidly build AI-assisted data visualizations and interactive web applications, connect them to live data sources, and evolve validated prototypes into production-quality internal tools. The role also owns visualization product lifecycles and trains analysts on code-first, AI-assisted workflows.

Responsibilities

• Rapidly prototype interactive data visualizations and internal web apps using Claude Code as your primary development environment, iterating in tight feedback loops with stakeholders
• Translate ambiguous business questions into working visual tools - dashboards, calculators, exploratory data apps, simulations - without waiting on a formal BI development cycle
• Take validated prototypes from proof-of-concept to production-quality web applications (proper data pipelines, authentication, hosting, and performance)
• Connect visualizations directly to live data sources (databases, APIs, internal tools) using MCP (Model Context Protocol) integrations rather than static data exports
• Own the full lifecycle of a visualization product: scoping, building, deploying, gathering feedback, and iterating
• Write clean, maintainable front-end code (JavaScript/TypeScript, React) generated and refined in collaboration with Claude Code, rather than relying on drag-and-drop BI tooling
• Establish reusable patterns, components, and internal libraries so future prototypes can be built even faster
• Partner with data engineering to ensure the underlying data feeding your apps is accurate, governed, and reliable
• Evangelize and train other analysts on AI-assisted, code-first visualization workflows as an alternative to legacy BI tools

Skills

• Experience building data visualizations or internal tools, with a strong bias toward writing real code (not exclusively point-and-click BI platforms)
• Hands-on experience with, or strong aptitude for, agentic coding tools like Claude Code - comfortable directing an AI coding agent, reviewing its output critically, and iterating quickly
• Claude Code (agentic coding) - used regularly to prototype, build, and deploy interactive web apps and visualizations
• Solid JavaScript/TypeScript and front-end fundamentals (React or similar); comfortable with charting/visualization libraries (D3, Recharts, Plotly, Chart.js)
• Working SQL skills and comfort pulling and shaping data from APIs or databases
• Understanding of version control (Git) and basic deployment workflows (e.g., Vercel, Netlify, internal hosting)
• Familiarity with MCP (Model Context Protocol) or connecting AI tools to external systems/APIs
• UX/UI sensibility - an eye for clear, honest data storytelling and clean interface design
• Experience with Claude's broader product suite (Artifacts, Claude API, Claude in Chrome) or similar AI-assisted development environments
• A prototyping mindset: comfortable shipping a rough version fast, then hardening it based on real usage
• Strong communication skills - able to work directly with non-technical stakeholders to scope what they actually need
• Ability to work independently while thinking like a product engineer and a data storyteller at the same time
• Curiosity about replacing legacy dashboards and spreadsheets with purpose-built, AI-assisted tools
• This position is ideally based out of one of our primary corporate offices in New York, Texas, Pennsylvania, California, or Illinois; however, remote candidates may be considered based on experience and overall fit
• Experience with Python for data wrangling and analysis (Pandas, etc.) is a plus
• Prior experience migrating a team off legacy BI tools (Tableau, Power BI, Looker) toward custom-built tooling is a plus

Qualifications

Must Haves

• Experience building data visualizations or internal tools, with a strong bias toward writing real code (not exclusively point-and-click BI platforms)
• Hands-on experience with, or strong aptitude for, agentic coding tools like Claude Code - comfortable directing an AI coding agent, reviewing its output critically, and iterating quickly
• Claude Code (agentic coding) - used regularly to prototype, build, and deploy interactive web apps and visualizations
• Solid JavaScript/TypeScript and front-end fundamentals (React or similar); comfortable with charting/visualization libraries (D3, Recharts, Plotly, Chart.js)
• Working SQL skills and comfort pulling and shaping data from APIs or databases
• Understanding of version control (Git) and basic deployment workflows (e.g., Vercel, Netlify, internal hosting)
• Familiarity with MCP (Model Context Protocol) or connecting AI tools to external systems/APIs
• UX/UI sensibility - an eye for clear, honest data storytelling and clean interface design
• Experience with Claude's broader product suite (Artifacts, Claude API, Claude in Chrome) or similar AI-assisted development environments
• A prototyping mindset: comfortable shipping a rough version fast, then hardening it based on real usage
• Strong communication skills - able to work directly with non-technical stakeholders to scope what they actually need
• Ability to work independently while thinking like a product engineer and a data storyteller at the same time
• Curiosity about replacing legacy dashboards and spreadsheets with purpose-built, AI-assisted tools
• This position is ideally based out of one of our primary corporate offices in New York, Texas, Pennsylvania, California, or Illinois; however, remote candidates may be considered based on experience and overall fit

Nice to Haves

• Experience with Python for data wrangling and analysis (Pandas, etc.) is a plus
• Prior experience migrating a team off legacy BI tools (Tableau, Power BI, Looker) toward custom-built tooling is a plus

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• Disability insurance
• Paid vacation
• 401k plan
• Remote candidates may be considered based on experience and overall fit