Data Analyst

About the Role

MedTourEasy AP is a global healthcare company that provides individuals and organizations with information to evaluate international healthcare options. The company delivers analytical solutions to partner healthcare providers around the world, helping them make data-driven decisions and improve patient outcomes. MedTourEasy AP focuses on combining healthcare expertise with analytics to support better planning, performance, and transparency. Team members collaborate across borders, working with diverse datasets and stakeholders in the global healthcare ecosystem.

This is a remote traineeship program for a Data Analyst at MedTourEasy AP.

Key Responsibilities

• Assist in collecting, cleaning, and organizing healthcare and operational data from multiple sources.
• Perform basic data analysis.
• Prepare statistical summaries.
• Support the creation of dashboards and reports for internal teams and partner healthcare providers.
• Help interpret data insights.
• Contribute to data modeling activities.
• Communicate findings in clear formats for both technical and non-technical audiences.
• Document methods.
• Maintain data accuracy.
• Collaborate with senior analysts on ongoing projects.

Requirements & Tech Stack

• Strong Analytical Skills.
• Foundational Data Analytics capabilities.
• Knowledge of Statistics and experience applying statistical concepts to real-world datasets.
• Basic Data Modeling skills, including understanding of data structures and relational concepts.
• Clear and effective Communication skills for presenting data insights and collaborating with cross-functional teams.
• 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.
• Ability to handle multiple tasks with attention to detail.

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.
• Interest in global healthcare systems and willingness to learn about healthcare data and regulatory considerations is an advantage.