Data Analyst
MedTourEasy Bengaluru
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Patient careStakeholder managementData analysisData visualizationExcelSQL
- Work
- On-site in India
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis85%Data visualization68%Stakeholder management31%Patient care3%of 96 similar fresher jobs posted in India this week
- Listed
- 30 Oct 2026 · still open
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About the Role
MedTourEasy is a global healthcare analytics company that helps individuals and organizations evaluate medical options around the world using reliable data and insights. The company provides guidance to patients and decision-makers seeking high-quality, cost-effective healthcare services internationally. MedTourEasy also delivers analytical solutions to partner providers, supporting them in improving clinical outcomes and operational efficiency. Team members collaborate across borders, working with diverse data sources and stakeholders in the global healthcare ecosystem.
This is a remote internship role, offering flexible collaboration with colleagues across different locations.
Key Responsibilities
- Collect, clean, and organize healthcare and operational data from multiple sources.
- Perform exploratory data analysis.
- Build basic data models.
- Generate reports and dashboards that highlight key trends and performance indicators.
- Collaborate with cross-functional teams to translate data findings into clear, actionable insights.
- Assist in the documentation of methodologies and outputs.
Requirements & Tech Stack
- Excel
- SQL
- Python / R
Qualifications
- Strong Analytical Skills and foundational Data Analytics capabilities to interpret complex datasets and identify patterns.
- Working knowledge of Statistics to apply basic statistical methods and validate findings.
- Ability in Data Modeling to structure data for analysis and build simple models supporting decision-making.
- Effective Communication skills to present insights clearly to technical and non-technical stakeholders.
- Enrollment in or completion of a degree program in Data Science, Statistics, Computer Science, Engineering, Economics, or a related field.
- Attention to detail, commitment to data quality, and the ability to work independently in a remote setting.
- Interest in global healthcare, health technology, or medical tourism is an advantage.