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Salt Lake City, UT

Internship

Onsite

Intern

GE HealthCare is a medical technology and digital solutions company focused on improving patient outcomes and operational efficiency through engineering, data science, and clinical expertise. The Data Analytics Intern will work on real-world projects involving dashboards, data analysis, reporting automation, predictive tools, AI models, and process improvements that support device servicing, clinical operations, and patient care.

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Responsibilities

Build interactive Power BI dashboards to visualize device performance, service metrics, and clinical trends
Analyze data from SQL Server, Excel, and cloud platforms to uncover patterns and drive decisions
Collaborate with field ops managers, clinical engineers, and data scientists to define KPIs and reporting needs
Automate reporting workflows using Power Automate and Power Apps
Present insights to cross-functional teams and contribute to strategic discussions
Apply AI models to identify patterns in service logs and device usage that signal inefficiencies or potential failures
Develop predictive tools to optimize technician dispatching, reduce downtime, and improve service response times
Support the team in ad-hoc data projects and process improvements

Qualification

Required

This intern will be motivated, have a positive attitude and be able to function on a team in a fast-paced environment
They should have the ability to self-manage with minimal supervision, to run multiple projects and to provide timely updates
Attention to detail and desire to produce quality work is always required
Currently pursuing or recently completed a degree in **Computer Science, Data Science, Information Systems, or a related field**
Experience with data warehousing, data preparation, or data gateways
Hands-on experience with **Microsoft Business Intelligence Stack** (Power BI, SSAS, SSRS, and SSIS), including DAX, Power Query, and dashboard design
Understanding of JavaScript, CSS, SQL, and other JavaScript libraries
Strong understanding of **data visualization, predictive analytics**, and **machine learning basics**
Proficiency in **Python, R, SQL**
Ability to break down complex problems into smaller, manageable parts
Accuracy in data handling and interpretation
Asking the right questions to uncover insights from data
Explaining findings clearly to non-technical stakeholders
Working well in teams, often with engineers, analysts, and business managers
Willingness to learn new tools and methods quickly
Understanding how data impacts business decisions
Ability to manage time and tasks effectively
We will not sponsor individuals for employment visas, now or in the future, for this job opening
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening

Preferred

Experience with **biomedical data**, **image processing**, or **web apps** preferred

Benefits

Real-world experience in a regulated, high-impact industry.
A chance to work on projects that actually help people.
A supportive team that values your ideas and your growth.
Professional development
Relocation assistance

GE HealthCare provides a wide range of medical technologies and services to healthcare providers and researchers. It is a sub-organization of General Electric.

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