AI Analytics Engineer (Business Analytics)

Technically curious and AI-forward:

You’re energized by LLMs, prompt engineering, and the evolving landscape of AI tooling.

You’ve experimented with tools like Claude/Claude Code, ChatGPT, or Manus, and you’re eager to build systems around them, not just use them.

Whether it’s a prototype, a pipeline, or a quick script to test an idea, you default to building rather than theorizing.

You’re comfortable picking up new technical skills and exploring unfamiliar domains, especially with AI tooling accelerating what’s possible.

Analytically grounded:

trusted data models for core financial metrics

including ACV, ARR, billings, revenue recognition, and cost allocation, managing the full lifecycle from prototyping through production

, establishing data integrity standards and SLAs that ensure timely and accurate delivery of financial data across Finance and Accounting

dashboards that deliver real-time, self-serve insights

across key financial areas including revenue performance, expense tracking, budget variance, and forecasting accuracy

data independence for Finance stakeholders