Summer 2027 Data Analytics Intern
About The Position
GE HealthCare is a leading global medical technology and digital solutions innovator. We combine advanced engineering, data science, and clinical expertise to improve patient outcomes and drive operational efficiency. Our devices and solutions generate vast amounts of data—from real-time clinical usage to field performance—and we’re looking for someone who can transform that data into actionable insights that support better care delivery and smarter decision-making. As our Data Analytics Intern, you’ll work on real-world projects that impact how we service devices, support clinicians, and improve patient care. 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.
Requirements
- 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.
Nice To Haves
- Experience with biomedical data, image processing, or web apps preferred.
- Problem-Solving Mindset: Ability to break down complex problems into smaller, manageable parts.
- Attention to Detail: Accuracy in data handling and interpretation.
- Curiosity: Asking the right questions to uncover insights from data.
- Communication: Explaining findings clearly to non-technical stakeholders.
- Collaboration: Working well in teams, often with engineers, analysts, and business managers.
- Adaptability: Willingness to learn new tools and methods quickly.
- Business Acumen: Understanding how data impacts business decisions.
- Project Management Basics: Ability to manage time and tasks effectively.
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.
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.
- Great work environment
- Professional development
- Challenging careers
- Competitive compensation
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Career Level
Intern
Education Level
No Education Listed
