Data Analytics Trainee

About the Role

MedTourEasy provides individuals and organizations with guidance and data to evaluate healthcare options across the globe. The company delivers analytical solutions to partner healthcare providers internationally, helping them make informed, data-driven decisions. By focusing on accessible information and robust analysis, MedTourEasy supports better healthcare choices and improved outcomes. The organization offers a dynamic environment for learners interested in global healthcare and data analytics.

This remote traineeship as a Data Analyst Trainee involves supporting the collection, cleaning, and organization of healthcare-related data from various sources. The trainee will assist in basic data analysis, preparation of reports, and visual summaries to help internal teams and partners understand key trends.

Key Responsibilities

• Support the collection, cleaning, and organization of healthcare-related data from various sources.
• Assist in basic data analysis.
• Prepare reports and visual summaries to help internal teams and partners understand key trends.
• Work with spreadsheets or analytics tools.
• Document methodologies.
• Collaborate with senior analysts to validate findings.
• Communicate insights clearly.
• Follow data quality standards.
• Contribute to ongoing analytical projects under guidance.

Requirements & Tech Stack

• Familiarity with tools such as Excel, Google Sheets, or introductory data analysis software (e.g., SQL, Python, or R is a plus).

Qualifications

• Strong Analytical Skills and foundational Data Analytics abilities to interpret datasets and identify patterns.
• Basic understanding of Statistics to support quantitative analysis and validation of findings.
• Knowledge of Data Modeling concepts to help structure and organize data for analysis.
• Clear Communication skills to present insights and collaborate effectively with team members and stakeholders.
• Enrollment in or completion of a degree program in Data Science, Statistics, Computer Science, Economics, Public Health, or a related field.
• Attention to detail.
• Curiosity about healthcare and global markets.
• Ability to learn quickly in a remote environment.