Staff AI Analytics & Prototyping — Talent Insights

Intuit

Frisco (TX)

Sur place

USD 120 000 - 190 000

Plein temps

Il y a 7 heures
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Résumé du poste

Intuit is seeking a Staff Business Data Analyst for hands-on AI experimentation across Talent Analytics, workforce planning, and people insights. You will rapidly prototype AI proof-of-concepts against people data, stress-test ideas for scaling, and connect with Intuit’s enterprise AI Transformation team to ensure local experiments translate into enterprise capability.

You’ll work in ambiguity, translating technical experimentation into business needs, and represent the team in

Qualifications

  • Bachelor's degree in AI, Data Analytics, Computer Science, Business, HR, or related field
  • 7+ years of experience in business/data analytics or applied AI/ML roles with hands-on ownership
  • Direct hands-on experience building and deploying AI agents or LLM-powered tools/prototypes

Responsabilités

  • AI Agents and Proof-of-Concept Development & Experimentation across Talent Analytics and workforce planning
  • Design rapid AI proofs-of-concept and experiments with modern AI/LLM tooling
  • Define dashboards and visualization patterns for prototypes
  • Collaborate with enterprise AI Transformation team to align standards and roadmap
  • Contribute to HR contextual layer and data governance for AI outputs

Connaissances

AI/ML experience
Data analytics
Hands-on AI agents
Data warehouse concepts
Dashboard design
Self-serve analytics
Executive communication

Formation

Bachelor's degree in AI / Data Analytics / CS

Outils

Claude
GPT

Description du poste

Intuit is seeking a Staff Business Data Analyst for hands-on AI experimentation across Talent Analytics, workforce planning, and people insights. You will rapidly prototype AI proof-of-concepts against people data, stress-test ideas for scaling, and connect with Intuit’s enterprise AI Transformation team to ensure local experiments translate into enterprise capability.

You’ll work in ambiguity, translating technical experimentation into business needs, and represent the team in

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