Summer 2027 Data Analytics Intern

About the role

GE HealthCare is seeking a Data Analytics Intern who is curious, detail‑oriented, and eager to learn. This hands‑on opportunity lets you work with real‑world data, collaborate with experienced analysts, and make an impact from day one. As a leading global medical technology and digital solutions innovator, GE HealthCare combines advanced engineering, data science, and clinical expertise to improve patient outcomes and drive operational efficiency. The company’s devices and solutions generate vast amounts of data—from real‑time clinical usage to field performance—that you will help transform into actionable insights for better care delivery and smarter decision‑making.

Responsibilities

• Work on real‑world projects that impact device servicing, clinician support, and patient care.
• Stay motivated, maintain a positive attitude, and function effectively on a team in a fast‑paced environment.
• Self‑manage with minimal supervision, run multiple projects, and provide timely updates.
• 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.

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 the 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, and SQL.
• Experience with biomedical data, image processing, or web apps is preferred.

Skills

• 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.

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.
• Relocation assistance provided.
• Great work environment, professional development, challenging careers, and competitive compensation.