Data Analyst Trainee
MedTourEasy Mumbai
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Patient careData visualizationData analysisStakeholder managementPythonR
- Nice to have
- Statistics
- Work
- Remote
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis85%Data visualization65%Stakeholder management24%Patient care3%of 100 similar fresher jobs posted in India this week
- Listed
- 12 Nov 2026 · still open
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About MedTourEasy
MedTourEasy is an AI-powered healthcare analytics platform that delivers deep insights across clinical, operational, and financial data for healthcare providers. The organization focuses on real-time analytics, predictive models, and intelligent dashboards to help optimize patient outcomes, resource utilization, and overall performance. By transforming complex healthcare data into actionable intelligence, MedTourEasy supports data-driven decisions at scale. Through its Medlytics offering, the company empowers healthcare teams to make smarter, faster decisions rooted in robust analytics.
About the Role
The Data Analyst Trainee will support the analysis of healthcare data to generate meaningful insights for internal teams and clients. This is a traineeship program performed fully remotely, requiring proactive communication and collaboration with cross-functional team members.
Key Responsibilities
- Clean and prepare datasets.
- Perform exploratory data analysis.
- Build basic data models.
- Assist in creating reports and dashboards.
- Interpret trends and identify patterns.
- Present findings in clear, concise formats for both technical and non-technical stakeholders.
Requirements & Tech Stack
- Strong Analytical Skills.
- Solid foundation in Data Analytics.
- Practical knowledge of Statistics for data interpretation and hypothesis testing.
- Experience or familiarity with Data Modeling concepts and basic database structures.
- Clear Communication skills to explain analytical findings.
- Proficiency with tools such as Excel, SQL, and at least one analytics or visualization tool (e.g., Python, R, Power BI, Tableau) is beneficial.
- Ability to work independently in a remote environment, manage time effectively, and meet deadlines.
- Interest in healthcare analytics and willingness to learn domain-specific concepts is an advantage.
Qualifications
- Enrollment in or completion of a degree in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.