Data Analyst Trainee

Company Description MedTourEasy provides individuals and organizations with guidance and data to evaluate healthcare options across international locations. The company focuses on making global healthcare decisions more informed and transparent by aggregating and analyzing relevant medical and travel information. MedTourEasy also offers analytical solutions to partner healthcare providers worldwide, helping them optimize services and reach patients more effectively. Team members work at the intersection of healthcare, data, and technology to support better outcomes for patients and providers. The organization values data-driven decision-making and collaboration across borders.
Role Description This remote internship role for a Data Analyst involves supporting data-driven initiatives that help users and partner providers understand global healthcare options. On a day-to-day basis, the intern will collect, clean, and organize data from multiple sources, perform basic statistical analyses, and assist in building data models that support dashboards and reports. The Data Analyst intern will help interpret trends, prepare data visualizations, and communicate findings to internal teams in a clear and structured manner. The role may also include documenting methodologies, contributing to process improvements, and collaborating with other team members in product, operations, and analytics. This internship is designed to provide hands-on experience in real-world data projects while working fully remotely.
Qualifications
Strong analytical skills with the ability to interpret data, identify patterns, and draw actionable insights.
Foundational knowledge of data analytics and data modeling, including experience with spreadsheets, BI tools, or basic querying.
Understanding of statistics and statistical concepts relevant to data analysis and reporting.
Effective communication skills to present findings clearly to both technical and non-technical stakeholders.
Familiarity with tools such as Excel or Google Sheets; exposure to SQL, Python, or R for data analysis is beneficial.
Currently pursuing or having recently completed a degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Mathematics, Economics) or equivalent experience.
Ability to work independently in a remote environment, manage time effectively, and collaborate across diverse teams and cultures.
Interest in healthcare, global health, or health technology is an advantage.

Work arrangement
Yes