Data Analyst
MedTourEasy Bengaluru
IndiaFresher1m agovia LinkedIn
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Data analysisData visualizationStakeholder managementData structures & algorithmsSQLExcel
- Nice to have
- Statistics
- Work
- On-site in India
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis90%Data visualization73%Stakeholder management31%Data structures & algorithms10%of 99 similar fresher jobs posted in India this week
- Listed
- 5 Nov 2026 · still open
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About the Role
This remote Data Analyst internship at MedTourEasy Bengaluru focuses on supporting data-driven decision-making for global healthcare insights.
Key Responsibilities
- Collect, clean, and organize healthcare and operational data from various sources, ensuring accuracy and consistency.
- Perform basic data analysis.
- Build reports and contribute to dashboards that highlight trends and performance indicators.
- Assist with data modeling tasks.
- Run statistical analyses under guidance.
- Document methodologies.
- Communicate findings clearly to non-technical stakeholders.
- Collaborate with cross-functional teams.
- Contribute to continuous improvement of data processes.
- Learn best practices in healthcare analytics.
Qualifications
- Strong analytical skills and foundational experience in data analytics for interpreting and presenting data-driven insights.
- Basic knowledge of statistics and statistical methods to support quantitative analysis and reporting.
- Understanding of data modeling concepts and ability to assist in designing or refining data structures.
- Clear communication skills to explain analytical findings to technical and non-technical audiences.
- Ability to work independently in a remote environment, manage time effectively, and collaborate with diverse teams.
- Interest in healthcare analytics and global healthcare systems, with a willingness to learn and adapt.
Requirements & Tech Stack
- Familiarity with tools such as Excel, SQL, or data visualization platforms (e.g., Tableau, Power BI) is beneficial.
- Enrollment in or completion of a degree in Data Science, Statistics, Computer Science, Engineering, Economics, or a related field is preferred.