For current studentsCurrently enrolled in a Bachelor's or Master's degree program in a relevant field such as Engineering, Business Analytics, or a related discipline
Collect, clean and analyze service data from field reports, feedback and equipment metrics
Build and maintain dashboards and reports for service KPIs
Find patterns, anomalies and improvement opportunities in service delivery
Help build predictive models to forecast equipment failures or service needs
Present findings and recommendations to stakeholders
From the employer’s posting
Collect, clean, and analyze service data from various sources, including field service reports, customer feedback, and equipment performance metrics.
Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) related to service operations.
Identify patterns, anomalies, and opportunities for improvement in service delivery processes.
Assist in creating predictive models to forecast equipment failures or service needs.
Present findings and recommendations to stakeholders in a clear and concise manner.
Education & alternatives
Qualifications and requirements
- Currently enrolled in a Bachelor's or Master's degree program in a relevant field such as Engineering, Business Analytics, or a related discipline. We consider students currently in their final year of study who are eligible to provide a University internship agreement (convenio de prácticas).
- Strong analytical and problem-solving skills with a keen eye for detail.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
R
SQL
Excel
Power BI
Tableau
Where the posting names them
- Strong analytical and problem-solving skills with a keen eye for detail.
- Proficiency in data analysis tools and languages (e.g., Excel, SQL, Python, R).
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Proficiency in data analysis tools and languages (e.g., Excel, SQL, Python, R).
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent communication and interpersonal skills, with the ability to explain complex data insights to non-technical audiences.
Complete your application on gehc.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Phenom
Phenom runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.
About 54,000 in 2025, up 2% from the year before.Annual report (SEC Form 10-K)
Company
Listed as GEHC.
Demand for Analyst roles
New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job Description SummaryHealthcare Equipment is increasingly being able to provide data about its performance and activity. This data, rightfully treated, is able to provide extremely useful information about the availability, productivity and safety of the equipment activity.
To do this, proper KPI, aligned with customer strategy and reguirements must be designed and proper tools developed.
GE HealthCare is developing a library of KPI focused in increasing the availablity, productivuty and safery of its medical equipment, by using GE HealthCare information systems and AI tools.
As an Intern - Service Analytics at General Electric Healthcare Espana, SA, you will support the service operations team by analyzing data to identify trends, improve efficiency, and enhance customer satisfaction for healthcare equipment in Spain. This role offers an excellent opportunity to gain practical experience in a global healthcare technology company.
GE HealthCare is a leading global medical technology and digital solutions innovator. We are harnessing the power of technology to make healthcare more precise, personalized, and accessible for everyone. We are partnering with our customers to fulfill healthcare’s greatest potential and living our purpose to create a world where healthcare has no limits. In addition, GE HealthCare has been awarded as Top 100 employers, according to ranking "Actualidad Económica - El Mundo-".Job Description
Job Responsibilities
Collect, clean, and analyze service data from various sources, including field service reports, customer feedback, and equipment performance metrics.
Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) related to service operations.
Identify patterns, anomalies, and opportunities for improvement in service delivery processes.
Assist in creating predictive models to forecast equipment failures or service needs.
Collaborate with service managers and engineers to understand business requirements and translate them into analytical solutions.
Present findings and recommendations to stakeholders in a clear and concise manner.
Support ad-hoc data requests and analytical projects as needed.
Contribute to the continuous improvement of data collection and analysis methodologies.
Qualifications and requirements
Currently enrolled in a Bachelor's or Master's degree program in a relevant field such as Engineering, Business Analytics, or a related discipline. We consider students currently in their final year of study who are eligible to provide a University internship agreement (convenio de prácticas).
Strong analytical and problem-solving skills with a keen eye for detail.
Proficiency in data analysis tools and languages (e.g., Excel, SQL, Python, R).
Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
Excellent communication and interpersonal skills, with the ability to explain complex data insights to non-technical audiences.
Ability to work independently and as part of a team in a fast-paced environment.
Fluency in English and Spanish (both written and spoken) is required.
Familiarity with healthcare industry or service operations is a plus, but not required.