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 company enables teams to use real-time analytics, predictive models, and intelligent dashboards to improve patient outcomes and resource utilization. By turning complex data into actionable insights, MedTourEasy supports smarter, data-driven decisions in healthcare. The organization focuses on building scalable, technology-driven solutions that enhance operational performance and support modern healthcare ecosystems.

Program Description The Data Analyst Traineeship at MedTourEasy Mumbai is a remote program focused on supporting the healthcare analytics team with data-driven insights. Day-to-day responsibilities include collecting and cleaning data, assisting in building and validating statistical models, and performing basic data analysis to support clinical, operational, and financial use cases. The trainee will help prepare visual reports and dashboards, document findings, and communicate results to stakeholders under the guidance of senior analysts. The program also involves learning best practices in data analytics, supporting ad-hoc analysis requests, and collaborating with cross-functional teams to ensure accurate and timely delivery of insights.

Qualifications

• Candidates should possess strong Analytical Skills and foundational Data Analytics capabilities.
• Candidates should possess basic knowledge of Statistics and an understanding of Data Modeling concepts.
• Candidates should possess clear and effective Communication skills for presenting data findings.
• Familiarity with tools such as Excel, SQL, Python, R, or BI platforms (e.g., 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 setting, manage multiple tasks, and meet deadlines.
• Interest in healthcare analytics and willingness to learn AI-driven approaches is an advantage.