Data Analyst Trainee

MedTourEasy AP is a global healthcare company focused on providing individuals and organizations with information to evaluate international healthcare options. The company delivers analytical solutions to partner healthcare providers worldwide, enabling data-driven decisions and improving patient outcomes. MedTourEasy AP integrates healthcare expertise with analytics for enhanced planning, performance, and transparency. Team members collaborate globally, working with diverse datasets and stakeholders in the international healthcare ecosystem.

This is a remote traineeship program for a Data Analyst at MedTourEasy AP. The trainee will assist in collecting, cleaning, and organizing healthcare and operational data from multiple sources. Day-to-day tasks include performing basic data analysis, preparing statistical summaries, and supporting the creation of dashboards and reports for internal teams and partner healthcare providers. The Data Analyst trainee will help interpret data insights, contribute to data modeling activities, and communicate findings in clear formats for both technical and non-technical audiences. The program also involves documenting methods, maintaining data accuracy, and collaborating with senior analysts on ongoing projects.

Key Responsibilities

• Assist in collecting, cleaning, and organizing healthcare and operational data.
• Perform basic data analysis.
• Prepare statistical summaries.
• Support the creation of dashboards and reports.
• Interpret data insights.
• Contribute to data modeling activities.
• Communicate findings in clear formats.
• Document methods.
• Maintain data accuracy.
• Collaborate with senior analysts on ongoing projects.

Requirements & Tech Stack

• Analytical Skills and foundational Data Analytics capabilities.
• Knowledge of Statistics and experience applying statistical concepts.
• Basic Data Modeling skills, including understanding of data structures and relational concepts.
• Clear and effective Communication skills.
• Familiarity with tools such as Excel, SQL, or data visualization software (e.g., Tableau, Power BI) is beneficial.
• Ability to work independently in a remote environment.
• Ability to manage time effectively and handle multiple tasks with attention to detail.
• Interest in global healthcare systems.
• Willingness to learn about healthcare data and regulatory considerations.

Qualifications

• Current enrollment in or recent completion of a degree program in Data Science, Statistics, Mathematics, Computer Science, Healthcare Analytics, or a related field is preferred.