Ai Analytics Engineer, Avs Digital Transformation

GE HealthCare

Base: $114,400.00-$171,600.00 annual; bonus/equity...
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Ai-ready data foundation design
Power bi semantic modeling expertise
Sql-based scalable data pipelines
** GE HealthCare is seeking an AI Analytics Engineer to design and implement data solutions for its Advanced Visualization Solutions (AVS) segment. The role focuses on building AI-ready data frameworks and enhancing analytics capabilities while requiring significant expertise in data engineering and analytics tools. **

Job Summary

  • The role involves designing and building curated semantic layers, scalable pipelines, and AI-powered capabilities to advance GE Healthcare’s AVS segment analytics and AI solutions.
  • GE HealthCare offers a competitive benefits package including medical, dental, vision, paid time off, 401(k) plan, life and disability insurance, and tuition reimbursement.
  • This position supports self-service analytics, conversational AI, predictive insights, and intelligent automation to improve clinical outcomes in ultrasound medical devices.

Matching Summary

Match Score: 75

** GE HealthCare is seeking an AI Analytics Engineer to design and implement data solutions for its Advanced Visualization Solutions (AVS) segment. The role focuses on building AI-ready data frameworks and enhancing analytics capabilities while requiring significant expertise in data engineering and analytics tools. **

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 and disability insurance, tuition reimbursement

Skills & Requirements

Must-have

  • AI-ready data foundation design
  • Power BI semantic modeling expertise
  • SQL-based scalable data pipelines
  • Data quality frameworks and governance
  • AI and advanced analytics deployment
  • Experience with cloud data environments

Nice-to-have

  • Familiarity with Power Apps and Power Automate
  • Experience with ERP/CRM data integration
  • Collaboration with centralized AI teams
  • Performance tuning and model optimization
  • Knowledge of conversational AI and natural language querying

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 AWS Redshift/S3/Glue or Microsoft Fabric/Azure
  • Preferred Microsoft certifications (DP-600, DP-700, PL-300, AZ-900, PL-400)
  • Python for AI/ML data preparation and modeling
  • No sponsorship or OPT available for this role

Work Rights

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

Tailored Resume

Cover Letter