Data Analyst Trainee

Company Description MedTourEasy provides guidance and data to help individuals and organizations evaluate healthcare options worldwide. The company supports informed decision-making by offering reliable, data-driven insights into global healthcare services. MedTourEasy also delivers analytical solutions to partner providers internationally, helping them improve performance and patient outcomes. The organization values innovation, collaboration, and the responsible use of data in healthcare. Team members have the opportunity to contribute to projects that impact healthcare accessibility and quality across borders.

Program Description This remote traineeship Data Analyst program focuses on supporting data-driven decision-making for global healthcare insights and provider solutions. Day-to-day responsibilities include collecting, cleaning, and organizing datasets from various sources, performing exploratory data analysis, and generating basic statistical summaries. The trainee will assist in building and refining data models, preparing visualizations, and creating clear reports or dashboards to communicate findings to internal teams and partners. The program involves collaborating with cross-functional colleagues, documenting methodologies, and ensuring data accuracy and consistency. This traineeship is designed to provide practical experience in data analytics within the healthcare domain while contributing to ongoing projects.

Qualifications

• Strong Analytical Skills and experience applying Data Analytics techniques to interpret and summarize complex information.
• Working knowledge of Statistics, including descriptive and inferential methods relevant to data-driven decision-making.
• Understanding of Data Modeling concepts and ability to support the design and refinement of data structures.
• Clear and effective Communication skills for presenting findings, writing concise reports, and collaborating with diverse teams.
• Familiarity with tools such as Excel, SQL, or basic data visualization platforms (e.g., Tableau, Power BI) is beneficial.
• Coursework or training in data science, mathematics, computer science, economics, public health, or a related field is preferred.
• Ability to work independently in a remote setting, manage time effectively, and maintain attention to detail.