GE HealthCare · 13 hours ago
Data Analyst Specialist, Enterprise AI
United States
Full-time
Remote
New Grad, Entry Level
$81K/yr - $121K/yr
0+ years expGE HealthCare is a leading global medical technology and digital solutions innovator. As a Data Analyst Specialist, you will support AI and analytics initiatives by performing exploratory data analysis and statistical analysis while collaborating with Data Scientists and AI Engineers to prepare high-quality datasets for machine learning and advanced AI use cases.
AppsHealth CareHealth DiagnosticsHome ImprovementHome RenovationInternetMedical
No H1B
Responsibilities
Extract, join, and transform data from multiple sources using SQL and/or data tools
Clean and preprocess structured and semi-structured data (handling missing values, duplicates, outliers, inconsistent formats)
Build and maintain analysis-ready datasets to support feature engineering and model development
Apply data quality checks (e.g., row counts, referential integrity, distribution checks) and document findings
Perform EDA to understand data structure, relationships, distributions, and anomalies
Identify trends, patterns, and data issues that may impact modeling performance or business interpretation
Create clear visualizations and summaries to communicate key insights to technical and non-technical stakeholders
Conduct descriptive and basic inferential statistical analyses (e.g., correlations, variance comparisons, hypothesis tests where appropriate)
Assist in measurement design, KPI definitions, and experimental analysis support (as needed)
Help validate model inputs, features, and labels by analyzing data consistency and potential leakage risks
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, prescriptive analytics and GenAI applications
Maintain well-structured documentation for datasets, assumptions, and analysis steps
Partner with Data Scientists and AI Engineers to translate requirements into data deliverables
Contribute to reproducible analysis using established data practices, code review practices, and version control workflows
Work with data engineers on data quality assessment, data cleansing and data analytics
Follow established data governance, privacy, and security policies
Handle sensitive data responsibly and ensure proper access controls and documentation are in place
Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes
Share and discuss findings with team members
Qualification
Required
Bachelor's degree (or equivalent practical experience) in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Data Science, Engineering, or similar with 0-3 years of working experience
Familiarity with SQL for querying and manipulating data (joins, aggregations, filters)
Working knowledge of Python for data analysis (e.g., pandas/tidyverse, basic scripting)
Understanding of foundational statistics (distributions, summary stats, correlation, basic hypothesis testing concepts)
Ability to communicate clearly—especially when summarizing insights, assumptions, and data limitations
Strong attention to detail and comfort working with messy or incomplete datasets
Experience with data visualization tools (e.g., Tableau, Power BI) and/or Python visualization libraries
Preferred
Exposure to modern data environments: Cloud platforms (AWS/Azure)
Familiarity with ML/AI concepts (features, labels, training vs. inference data, evaluation metrics)
Experience using Git and writing reproducible notebooks/documentation
Benefits
Medical
Dental
Vision
Paid time off
A 401(k) plan with employee and company contribution opportunities
Life
Disability
Accident insurance
Tuition reimbursement
Company
GE HealthCare
GE Healthcare provides a wide range of medical technologies and services to healthcare providers and researchers. It is a sub-organization of General Electric.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$5.52BKey Investors
Bill & Melinda Gates Foundation
2024-11-07Post Ipo Secondary· $1.17B
2024-09-12Post Ipo Secondary· $1.29B
2024-02-16Post Ipo Secondary· $1.07B
Leadership Team
Catherine Estrampes
President and CEO, US & Canada
Luiz Verzegnassi
President & CEO, Services
Recent News
2026-01-16
Medical Device Network
2026-01-16
Company data provided by crunchbase