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.
Department: Insights. Reports to: Manager, Data & Analytics. Employment Type: Full-time.
What you'd do
- 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.
- A prototyping mindset: comfortable shipping a rough version fast, then hardening it based on real usage
What they want
- 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.
- 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
- Starts
- 2026-09-15