Data Analysis Trainee

About MedTourEasy

MedTourEasy is a global healthcare facilitator that helps individuals and organizations evaluate international care alternatives by providing clear, accessible information. The company collaborates with partners around the world to offer analytical capabilities that support better healthcare decisions. MedTourEasy focuses on connecting patients and healthcare providers across borders, helping improve transparency and choice in medical services. Team members have the opportunity to contribute to data-driven solutions that enhance global healthcare access and insights.

Program Description

This is a remote traineeship program for a Data Analyst at MedTourEasy. The Data Analyst trainee will assist in collecting, cleaning, and organizing healthcare and partner-related data from various sources. Responsibilities include performing basic data analysis, generating reports and dashboards, and supporting the evaluation of international care alternatives with data-driven insights. The trainee will work with senior team members to develop and refine data models, interpret statistical results, and present findings in a clear, structured format. The program also involves collaborating with cross-functional teams to understand data needs and contributing to continuous improvement of analytical processes.

Key Responsibilities

• Assist in collecting, cleaning, and organizing healthcare and partner-related data from various sources.
• Perform basic data analysis.
• Generate reports and dashboards.
• Support the evaluation of international care alternatives with data-driven insights.
• Work with senior team members to develop and refine data models.
• Interpret statistical results.
• Present findings in a clear, structured format.
• Collaborate with cross-functional teams to understand data needs.
• Contribute to continuous improvement of analytical processes.

Qualifications

• Strong Analytical Skills and foundational Data Analytics capabilities.
• Knowledge of Statistics and the ability to apply statistical concepts to real-world data.
• Effective Communication skills for explaining findings to technical and non-technical stakeholders.
• Basic Data Modeling skills and familiarity with organizing data for analysis.
• Proficiency in tools such as Excel, SQL, or a programming language (e.g., Python or R) is beneficial.
• Enrollment in or completion of a degree in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.
• Attention to detail.
• A willingness to learn.
• The ability to work independently in a remote environment.
• Interest in healthcare, global health systems, or medical tourism is an advantage.