Data Analystics Trainee
MedTourEasy Mumbai
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Data analysisData visualizationExcelStakeholder managementStatistics
- Nice to have
- PythonSQL
- Work
- On-site in Hyderabad
- Pay
- Not stated by the employer.
- Listed
- 30 Oct 2026 · still open
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About MedTourEasy
MedTourEasy is a global healthcare analytics organization that helps individuals and organizations evaluate medical options across international borders. The company provides guidance and reliable data to support informed healthcare decisions worldwide. MedTourEasy also delivers analytical solutions to partner providers, enabling them to improve care delivery and operational efficiency. Joining MedTourEasy offers exposure to international healthcare systems, data-driven decision-making, and innovative analytical practices.
Program Description
The Data Analytics Trainee role at MedTourEasy Mumbai is a full-time remote position focused on supporting data-driven healthcare insights.
Key Responsibilities
- Collecting, cleaning, and organizing healthcare and operational data.
- Conducting basic data analysis to identify patterns, trends, and performance metrics.
- Assisting in building and updating data models and dashboards.
- Preparing analytical reports.
- Supporting senior analysts with ad hoc analysis tasks.
- Documenting data processes.
- Collaborating with cross-functional teams.
- Learning best practices in data analytics within the global healthcare domain.
Qualifications
- Foundational skills in Data Analytics and strong Analytical Skills to interpret healthcare and operational data.
- Skills in Data Management, including organizing, cleaning, and maintaining datasets.
- Skills in Data Analysis to evaluate trends, generate insights, and support reporting.
- Skills in Data Modeling to assist in creating basic models and dashboards for decision support.
- Familiarity with spreadsheets and basic data tools (e.g., Excel, Google Sheets; exposure to SQL or Python is a plus).
- Strong attention to detail, problem-solving mindset, and ability to learn new analytical tools and methods.
- Effective written and verbal communication skills, with the ability to present findings clearly to non-technical stakeholders.
- Relevant academic background in Data Science, Statistics, Computer Science, Healthcare Management, or a related field (or equivalent practical experience).