Data Analyst

Company Description MedTourEasy provides guidance and data to help individuals evaluate healthcare options around the world. The organization supports informed decision-making by offering clear, data-driven insights into international care choices. MedTourEasy also delivers analytical solutions to partner providers globally, helping them improve healthcare access and efficiency. Team members work in a collaborative, impact-focused environment that values data accuracy, transparency, and innovation in healthcare analytics.
Program Description This remote Data Analyst traineeship program focuses on supporting data-driven decision-making for global healthcare insights and provider solutions. trainee collect, clean, and organize healthcare and provider-related datasets from various sources to ensure data quality. They perform exploratory data analysis, build basic data models, and generate statistical summaries to identify trends and patterns. The program includes creating clear visualizations, preparing reports, and communicating findings to internal stakeholders in an understandable way. Interns collaborate with cross-functional teams to refine analytical requirements and contribute to continuous improvement of MedTourEasy’s data products and processes.
Qualifications
Strong Analytical Skills and Data Analytics capabilities to interpret complex datasets and derive actionable insights.
Knowledge of Statistics for hypothesis testing, trend analysis, and data validation.
Experience or coursework in Data Modeling to structure and organize data for analysis and reporting.
Effective Communication skills to present findings clearly to technical and non-technical audiences.
Familiarity with tools such as Excel, SQL, or a programming language (e.g., Python or R) for data analysis.
Attention to detail, commitment to data accuracy, and ability to work independently in a remote setting.
Current enrollment in or recent completion of a degree in Data Science, Statistics, Computer Science, Engineering, Economics, or a related field.
Interest in global healthcare, health analytics, or health technology is highly beneficial.

Work arrangement
Yes