Data Analyst Trainee

Company Description MedTourEasy is a healthcare care-coordination and intelligence platform that connects patients, providers, and care teams through a unified digital framework. The platform brings together patient data, clinical workflows, and care pathways to support seamless collaboration across the healthcare ecosystem. Through its CareMatrix solution, MedTourEasy helps healthcare organizations deliver more coordinated care and strengthen patient engagement. The platform leverages data-driven insights to improve clinical outcomes while enhancing operational efficiency, offering emerging professionals a chance to contribute to impactful healthcare innovation. Program Description The Data Analyst Trainee internship at MedTourEasy is a remote program focused on supporting data-driven decision-making across the CareMatrix platform. On a day-to-day basis, the trainee will assist with collecting, cleaning, and organizing healthcare data from various sources, and performing basic data analysis to identify trends and patterns. The program includes building and updating dashboards and reports, supporting data modeling tasks under supervision, and documenting findings in clear, concise formats for internal stakeholders. The trainee will collaborate with cross-functional teams, communicate insights, and learn how data supports coordinated care, patient engagement, and operational improvements. Qualifications • Candidates should possess strong Analytical Skills and foundational Data Analytics capabilities. • Candidates should possess knowledge of Statistics and experience applying statistical concepts to real-world data. • Candidates should possess basic Data Modeling skills and an understanding of data structures or databases. • Candidates should possess clear and effective Communication skills for presenting data insights to non-technical stakeholders. • Familiarity with tools such as Excel, SQL, or data visualization platforms (e.g., Power BI, Tableau) is beneficial. • Interest in healthcare, healthtech, or care coordination and a willingness to learn domain-specific concepts is preferred. • Ability to work independently in a remote environment, manage time effectively, and collaborate with diverse teams. • Enrollment in or completion of a degree program in Data Science, Statistics, Computer Science, Engineering, or a related field is an advantage.

Enrollment in or completion of a degree program in Data Science, Statistics, Computer Science, Engineering, or a related field is an advantage. Relevant foundational knowledge in statistics, data analytics capabilities, basic data modeling skills, understanding of data structures or databases, and familiarity with Excel, SQL, Power BI or Tableau are beneficial. Ability to work independently in a remote environment, manage time effectively, and collaborate with diverse teams. Interest in healthcare, healthtech, or care coordination and a willingness to learn domain-specific concepts is preferred. Candidates should possess strong analytical skills and foundational data analytics capabilities; knowledge of statistics and experience applying statistical concepts to real-world data; clear and effective communication skills for presenting data insights to non-technical stakeholders.

Assist with collecting, cleaning, and organizing healthcare data from various sources; perform basic data analysis to identify trends and patterns; build and update dashboards and reports; support data modeling tasks under supervision; document findings in clear, concise formats for internal stakeholders; collaborate with cross-functional teams and communicate insights to support coordinated care, patient engagement, and operational improvements.