Data Analyst Trainee

About MedTourEasy

MedTourEasy provides guidance and data to help individuals and organisations evaluate healthcare options around the world. The organisation focuses on making global healthcare information more accessible, clear, and actionable for patients and partner providers. MedTourEasy also delivers analytical solutions to international healthcare partners, supporting data-driven decision-making and operational improvements. Team members collaborate remotely, using data and technology to improve healthcare transparency and outcomes across borders.

Programme Description

This remote traineeship program for a Data Analyst involves working with healthcare-related datasets to generate insights that support MedTourEasy’s services and partner solutions.

Key Responsibilities

• Collect, clean, and organise data from various sources.
• Perform basic statistical analysis.
• Assist in building data models that inform healthcare option comparisons.
• Prepare clear reports, dashboards, or visualisations to communicate findings to internal stakeholders and partners.
• Collaborate with cross-functional teammates to refine data requirements, validate results, and support ongoing analytical projects that improve the quality and clarity of information provided to users.
• Gain practical experience in data analytics within an international healthcare context.

Qualifications

• Strong analytical skills with an ability to interpret complex information and draw meaningful conclusions.
• Foundational experience or coursework in data analytics and data modelling.
• Basic knowledge of statistics, including descriptive measures and hypothesis testing.
• Effective communication skills for presenting data findings in a clear, structured manner.
• Familiarity with tools such as Excel, SQL, or a programming language like Python or R for data analysis.
• Attention to detail, logical thinking, and the ability to work independently in a remote environment.
• Current enrollment in or recent completion of a degree program in data science, statistics, mathematics, computer science, economics, or a related field.
• Interest in global healthcare and willingness to learn about medical tourism and international health systems.