Ai Analytics Engineer, Avs Digital Transformation

GEHC

Multiple Locations
Base: $114,400.00-$171,600.00 annual; bonus/equity...
Dimensional modeling and curated marts
Power bi semantic modeling and optimization
Sql-based scalable data pipelines
The GEHC Advanced Visualization Solutions segment leads globally in ultrasound medical devices and solutions, focusing on improving clinical outcomes through AI and digital transformation

Job Summary

  • The GEHC Advanced Visualization Solutions segment leads globally in ultrasound medical devices and solutions, focusing on improving clinical outcomes through AI and digital transformation.
  • This role involves hands-on design and implementation of semantic data layers, scalable pipelines, and AI-powered analytics to enable self-service BI and advanced AI capabilities.
  • GE HealthCare offers a competitive benefits package including medical, dental, vision, paid time off, 401(k) plans, and professional development opportunities.

Matching Summary

The GEHC Advanced Visualization Solutions segment leads globally in ultrasound medical devices and solutions, focusing on improving clinical outcomes through AI and digital transformation.

Salary

Base: $114,400.00-$171,600.00 Annual; Bonus/Equity: Performance-based incentives including cash bonuses and/or long term incentives; Benefits: Medical, dental, vision, paid time off, 401(k), life, disability, accident insurance, tuition reimbursement

Skills & Requirements

Must-have

  • Dimensional modeling and curated marts
  • Power BI semantic modeling and optimization
  • SQL-based scalable data pipelines
  • AI-ready data foundation design
  • Data quality frameworks and governance
  • Cloud environment data engineering
  • Conversational AI and predictive insights

Nice-to-have

  • Experience with Copilot Studio and Fabric Data Agents
  • Power Apps and Power Automate workflows
  • ERP/CRM data integration knowledge
  • Collaboration with centralized AI teams
  • Performance tuning at scale
  • Enterprise data governance familiarity

Key Requirements

  • 8+ years data architecture/engineering experience
  • Mastery of SQL, DAX, and Power Query (M)
  • Deep Power BI experience including composite models
  • Experience with cloud platforms like AWS or Azure
  • Familiarity with AI/ML integration and Python
  • Preferred Microsoft certifications (DP-600, DP-700, PL-300, AZ-900, PL-400)
  • No sponsorship or OPT available

Work Rights

Must be legally authorized to work in the United States; No sponsorship or OPT available

Tailored Resume

Cover Letter