Data Analytics Trainee

Company Description MedTourEasy is a global healthcare company that provides individuals and organizations with information to evaluate international healthcare options. The company develops analytical solutions for partner healthcare providers around the world, helping them improve decision-making and patient outcomes. MedTourEasy focuses on combining healthcare expertise with data-driven insights to support better care delivery. Team members collaborate in a dynamic, globally oriented environment that values innovation and analytical thinking.Role Description This is a remote internship role in Data Analytics based out of Gurgaon. The Data Analytics intern will support the collection, cleaning, and analysis of healthcare-related data from various sources. Responsibilities include building basic reports and dashboards, performing exploratory data analysis, and contributing to analytical models that support partner healthcare providers. The intern will collaborate with senior analysts to interpret statistical findings, document insights, and present results in a clear and concise manner. The role also involves assisting in validating data quality, maintaining datasets, and supporting ad hoc analytical requests from internal teams.Qualifications Candidates should possess strong Analytical Skills and foundational knowledge in Analytics.Candidates should possess skills in Data Analytics and Business Analytics for interpreting and visualizing data.Candidates should possess a solid understanding of Statistics for quantitative analysis and data-driven insights.Familiarity with data tools (e.g., Excel, SQL, Python, or R) and data visualization platforms (e.g., Tableau, Power BI) is beneficial.Currently pursuing or recently completed a degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.Strong attention to detail, problem-solving ability, and the capacity to work independently in a remote setup.Clear written and verbal communication skills for presenting data findings to non-technical stakeholders.