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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Execution & Prototyping Analyst - **Company:** Legends Limited - **Location:** Frisco, TX, United States - **Salary:** $75,000.0 - $85,000.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Business Intelligence Development, Spreadsheets, Databases, Information Engineering, Data Presentation, Data Visualization, Design of User Interfaces, Integrated Development Environments, Raw Data, Power BI, Standard Sql, Next.js, Tableau (Software), TypeScript, Web Applications, Highcharts, Business Intelligence Development Studio, ReactJS, Delivery Pipeline, Git, Pandas, Plotly, Front End Software Development, Static Data, Looker Analytics, Software Version Control, Data Pipelines - **Published:** September 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=fa9b04b6fa5f19ad ## About the Role * 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. * 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. Core Skills * 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 ## Description We're looking for an AI Execution & Prototyping Analyst who builds things, not just dashboards. This role is fundamentally different from a traditional BI analyst position - instead of assembling reports in Tableau or Power BI, you'll use Anthropic's Claude ecosystem (Claude Code, Artifacts, and MCP-connected tools) to go from a stakeholder's question to a working, interactive web application in hours or days, not weeks. You'll act as a bridge between raw data and decision-makers, but your medium is custom-built, AI-assisted software - lightweight prototypes that can evolve into production-grade internal tools when they prove their value. This is a hands-on, builder-oriented role for someone who thinks like a product engineer and a data storyteller at the same time., * 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., * Time from "stakeholder request" to "working prototype in their hands" is measured in hours or days, not sprint cycles * A growing internal library of purpose-built visualization apps that replace one-off spreadsheets and legacy dashboards * Stakeholders trust the tools enough to make real decisions from them, and come back asking for the next one