Data Analyst Trainee

Company Description MedTourEasy is a global healthcare guidance and analytics organization that helps individuals explore medical care options around the world. The company provides data-driven insights and decision support to make international healthcare more accessible and transparent. MedTourEasy also delivers analytical solutions to partner providers, enabling them to improve patient outcomes and operational efficiency. By combining healthcare expertise with advanced analytics, the organization focuses on informed choices and better experiences for patients and providers internationally.

Program Description The Data Analyst Traineeship is a remote program focused on learning and supporting data-driven decision-making for healthcare and partner providers. Day-to-day responsibilities include collecting, cleaning, and organizing datasets; assisting in basic data analysis; and contributing to data modeling tasks under guidance from senior analysts. The trainee will help prepare reports, dashboards, and visual summaries to communicate findings clearly to internal teams. Additional tasks may involve documenting analytical processes, supporting ad-hoc research requests, and collaborating with cross-functional stakeholders to understand their data needs and improve analytical outputs.

Qualifications

• Candidates should possess strong Analytical Skills and foundational Data Analytics capabilities.
• Candidates should possess knowledge of Statistics and an understanding of quantitative methods.
• Candidates should possess basic Data Modeling skills and an interest in building robust data structures.
• Candidates should possess clear Communication skills for presenting insights and collaborating with diverse teams.
• Familiarity with spreadsheets, databases, or analytical tools (e.g., Excel, SQL, Python, or R) is beneficial.
• Current enrollment in or recent completion of a degree in Data Science, Statistics, Computer Science, Engineering, Economics, or a related field is preferred.
• Ability to work independently in a remote setting, manage time effectively, and learn new tools and concepts quickly.
• Interest in healthcare analytics and global health systems is an advantage.