Summer 2027 Data Analytics Intern

Posted 4 Days Ago
Be an Early Applicant
Salt Lake City, UT, USA
In-Office
Internship
Artificial Intelligence • Healthtech • Analytics • Biotech
The Role
Build Power BI dashboards, analyze device and clinical data, automate reporting workflows, define KPIs, apply AI and predictive analytics, and develop tools to improve technician dispatching and service response. Collaborate with field operations, clinical engineering, data science, and business teams while presenting actionable insights and supporting process-improvement projects.
Summary Generated by Built In
Job Description Summarylooking for a Data Analytics Intern who is curious, detail-oriented, and eager to learn. This is a hands-on opportunity to work with real-world data, collaborate with experienced analysts, and make an impact from day one.
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.

Job Description

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.

The Data Analytics Intern will also work to:

  • 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.

  Basic Qualifications

  • 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.
  • Experience with biomedical data, image processing, or  web apps preferred.

Desired Characteristics

  • 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.

 What You’ll Get

  • 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.

We will not sponsor individuals for employment visas, now or in the future, for this job opening.

GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.

Relocation Assistance Provided: Yes

Skills 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 Power BI, SSAS, SSRS, SSIS, DAX, Power Query, and dashboard design
  • Understanding of JavaScript, CSS, SQL, and JavaScript libraries
  • Understanding of data visualization, predictive analytics, and machine learning basics
  • Proficiency in Python, R, and SQL
  • Experience with biomedical data, image processing, or web applications
  • Problem-solving, attention to detail, curiosity, communication, collaboration, adaptability, and business acumen
  • Ability to manage time and tasks effectively
  • Legal authorization to work in the United States without employment visa sponsorship

GE Healthcare Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Healthcare and has not been reviewed or approved by GE Healthcare.

  • Healthcare Strength — Healthcare coverage is portrayed as comprehensive, including medical, dental, and vision options with HSA-eligible choices and preventive care coverage. Mental health and well-being support programs are also emphasized as part of the overall package.
  • Retirement Support — Retirement support is described as meaningful, with a 401(k) match and additional programs such as student-loan matching in some descriptions. Legacy pension and retiree medical obligations for certain closed groups also signal continued support for long-tenured populations.
  • Strong & Reliable Incentives — Variable and role-linked earning opportunities appear attractive in some job families, including high on-target earnings potential in certain sales roles. Additional role-based perks like company cars and travel-related reimbursements further increase the perceived value of total rewards in those positions.

GE Healthcare Insights

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The Company
HQ: Chicago, IL
50,282 Employees
Year Founded: 1892

What We Do

Every day millions of people feel the impact of our intelligent devices, advanced analytics and artificial intelligence. As a leading global medical technology and digital solutions innovator, GE Healthcare enables clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications and services, supported by its Edison intelligence platform. With over 100 years of healthcare industry experience and around 50,000 employees globally, the company operates at the center of an ecosystem working toward precision health, digitizing healthcare, helping drive productivity and improve outcomes for patients, providers, health systems and researchers around the world. We embrace a culture of respect, transparency, integrity and diversity.

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