Data Analysis Trainee
MedTourEasy Gurugram
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Data analysisData visualizationStakeholder managementPythonSQLExcel
- Nice to have
- Statistics
- Work
- On-site in India
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis85%Data visualization68%Python55%Stakeholder management31%of 103 similar fresher jobs posted in India this week
- Listed
- 27 Oct 2026 · still open
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About MedTourEasy
MedTourEasy is a global healthcare facilitator providing clear, accessible information on international care alternatives. The company collaborates with global partners, offering analytical capabilities to support better healthcare decisions and improve transparency and choice in medical services by connecting patients and healthcare providers across borders. Team members contribute to data-driven solutions that enhance global healthcare access and insights.
Program Description
This is a remote traineeship program for a Data Analyst at MedTourEasy. The Data Analyst trainee will assist in collecting, cleaning, and organizing healthcare and partner-related data from various sources.
Key Responsibilities
- Assist in collecting, cleaning, and organizing healthcare and partner-related data from various sources.
- Perform basic data analysis.
- Generate reports and dashboards.
- Support the evaluation of international care alternatives with data-driven insights.
- Work with senior team members to develop and refine data models.
- Interpret statistical results.
- Present findings in a clear, structured format.
- Collaborate with cross-functional teams to understand data needs.
- Contribute to continuous improvement of analytical processes.
Qualifications
- Strong Analytical Skills.
- Foundational Data Analytics capabilities.
- Knowledge of Statistics and ability to apply statistical concepts to real-world data.
- Effective Communication skills for explaining findings to technical and non-technical stakeholders.
- Basic Data Modeling skills and familiarity with organizing data for analysis.
- Enrollment in or completion of a degree in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.
- Attention to detail.
- Willingness to learn.
- Ability to work independently in a remote environment.
- Interest in healthcare, global health systems, or medical tourism is an advantage.
Requirements & Tech Stack
- Proficiency in tools such as Excel, SQL, or a programming language (e.g., Python or R) is beneficial.