Data Analyst Trainee

Company Description MedTourEasy is an AI-powered healthcare analytics platform that delivers deep insights across clinical, operational, and financial data for healthcare providers. The organization focuses on real-time analytics, predictive models, and intelligent dashboards to help optimize patient outcomes, resource utilization, and overall performance. By transforming complex healthcare data into actionable intelligence, MedTourEasy supports data-driven decisions at scale. Through its Medlytics offering, the company empowers healthcare teams to make smarter, faster decisions rooted in robust analytics.Program Description The Data Analyst Trainee will support the analysis of healthcare data to generate meaningful insights for internal teams and clients. On a day-to-day basis, the trainee will clean and prepare datasets, perform exploratory data analysis, build basic data models, and assist in creating reports and dashboards. The program will involve interpreting trends, identifying patterns, and presenting findings in clear, concise formats for both technical and non-technical stakeholders. This is an traineeship program and will be performed fully remotely, requiring proactive communication and collaboration with cross-functional team members based in Mumbai and other locations.QualificationsCandidates should possess strong Analytical Skills and a solid foundation in Data Analytics.Candidates should possess practical knowledge of Statistics for data interpretation and hypothesis testing.Candidates should possess experience or familiarity with Data Modeling concepts and basic database structures.Candidates should possess clear Communication skills to explain analytical findings to diverse stakeholders.Proficiency with tools such as Excel, SQL, and at least one analytics or visualization tool (e.g., Python, R, Power BI, Tableau) is beneficial.Enrollment in or completion of a degree in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.Ability to work independently in a remote environment, manage time effectively, and meet deadlines.Interest in healthcare analytics and willingness to learn domain-specific concepts is an advantage.