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NEXTMOVEFDE careers · United States
GE Healthcare

Data Analyst & GenAI Specialist, Enterprise AI

AI summary of the role

This role combines data analysis and generative AI to improve IT business processes at GE HealthCare.

No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.

What you’ll do

  • Extract, join, and transform data from multiple sources using SQL and/or data tools.
  • Perform exploratory data analysis (EDA) to understand data structure, relationships, and anomalies.
  • Design and implement GenAI solutions using enterprise tools like Microsoft 365 Copilot, Copilot Studio, Power Automate, ChatGPT Enterprise, custom GPTs, and Anthropic Claude.
  • Create prompts, reusable workflows, and lightweight AI assistants to automate knowledge tasks.

What you’ll bring

  • Bachelor’s degree in a quantitative or technical field with 0-3 years of relevant work experience.
  • Familiarity with SQL for querying and manipulating data (joins, aggregations, filters).
  • Working knowledge of Python for data analysis (pandas/tidyverse).
  • Understanding of foundational statistics (distributions, summary statistics, correlation, hypothesis testing).

Technologies

SQL · Python · pandas · Tableau · Power BI · Microsoft 365 Copilot · Copilot Studio · Power Automate · ChatGPT Enterprise · Anthropic Claude · Git

About GE Healthcare

Global medical technology and digital solutions company spanning imaging (MR, CT, X-ray, ultrasound), patient monitoring, and pharmaceutical diagnostics/contrast agents for hospitals and health systems.

Public · 5000+ people

Source and classification

Internal deployment & tooling · Evidence for this classification:

Job Description Summary As a Data Analyst & GenAI Specialist, you will support AI and analytics initiatives through exploratory data analysis (EDA), statistical analysis, data wrangling, and practical application of low-code/no-code generative AI tools to improve IT business processes. You will work closely with Data Scientists, AI Engineers, business stakeholders, and process owners to prepare high-quality datasets, uncover insights, validate assumptions, and identify opportunities to automate, simplify, and accelerate work. Job Description As a Data Analyst & GenAI Specialist, you will support AI and analytics initiatives through exploratory data analysis (EDA), statistical analysis, data wrangling, and practical application of low-code/no-code generative AI tools to improve IT business processes. You will work closely with Data Scientists, AI Engineers, business stakeholders, and
More from the job description

Job Description Summary As a Data Analyst & GenAI Specialist, you will support AI and analytics initiatives through exploratory data analysis (EDA), statistical analysis, data wrangling, and practical application of low-code/no-code generative AI tools to improve IT business processes. You will work closely with Data Scientists, AI Engineers, business stakeholders, and process owners to prepare high-quality datasets, uncover insights, validate assumptions, and identify opportunities to automate, simplify, and accelerate work. Job Description As a Data Analyst & GenAI Specialist, you will support AI and analytics initiatives through exploratory data analysis (EDA), statistical analysis, data wrangling, and practical application of low-code/no-code generative AI tools to improve IT business processes. You will work closely with Data Scientists, AI Engineers, business stakeholders, and process owners to prepare high-quality datasets, uncover insights, validate assumptions, and identify opportunities to automate, simplify, and accelerate work. This is an ideal role for someone who enjoys working hands-on with data, learning best practices from senior technical partners, and applying practical AI tools in real-world business settings to drive measurable efficiency and quality improvements. Roles and Responsibilities Data Wrangling & Dataset Preparation Extract, join, and trans [... source excerpt omitted ...] ustom GPTs, and Anthropic Claude. Create prompts, reusable workflows, templates, and lightweight AI assistants that help teams summarize content, draft communications, synthesize requirements, generate documentation, and automate repetitive knowledge tasks. Partner with process owners and functional stakeholders to identify high-value use cases for GenAI, evaluate feasibility, and translate needs into scalable low-code/no-code solutions. Test and refine GenAI outputs for accuracy, usefulness, tone, and business relevance, while documenting prompt patterns, guardrails, and usage guidance. Monitor adoption, user feedback, and business outcomes of GenAI solutions, and recommend enha [... source excerpt omitted ...] ts, assumptions, analysis steps, prompts, workflow logic, and solution outputs. Partner with Data Scientists, AI Engineers, data engineers, and business stakeholders to translate requirements into data and AI deliverables. Contribute to reproducible analysis and solution development using established data practices, code review practices, and version control workflows. Generate reports, annotated code, process documentation, and other project artifacts to document, archive, and communicate your work and outcomes. Share findings, recommendations, and lessons learned with team members and stakeholders. Data Governance & Responsible Use Follow established data governance, privacy,

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