Data Analyst
MedTourEasy Delhi
This job at a glance
- Who can apply
- Freshers and up to 1 year · Bachelor's degree
- Must know
- Patient careData analysisData visualizationStakeholder managementExcelSQL
- Nice to have
- Statistics
- Work
- On-site in India
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis85%Data visualization66%Stakeholder management29%Patient care1%of 112 similar fresher jobs posted in India this week
- Listed
- 6 Nov 2026 · still open
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About MedTourEasy
MedTourEasy is a healthcare care-coordination and intelligence platform that connects patients, providers, and care teams through a unified digital framework. The platform integrates patient data, clinical workflows, and care pathways to support seamless collaboration across the healthcare ecosystem. Its CareMatrix solution helps healthcare organizations coordinate care delivery, strengthen patient engagement, and leverage data-driven insights. MedTourEasy focuses on improving health outcomes and operational efficiency.
About the Role
The Data Analyst Trainee role is a full-time remote position focused on supporting data-driven decision-making across the organization.
Key Responsibilities
- Assist in collecting, cleaning, and organizing healthcare and operational data from multiple sources on the platform.
- Perform basic data analysis.
- Generate reports and dashboards.
- Help interpret trends and patterns to support coordinated care and patient engagement initiatives.
- Collaborate with senior analysts, product teams, and other stakeholders to document requirements and validate data outputs.
- Contribute to ongoing improvements in analytics workflows.
Requirements & Tech Stack
- Strong foundation in Analytical Skills and Data Analytics.
- Knowledge of Statistics and Data Modeling.
- Effective Communication skills.
- Familiarity with spreadsheet tools (e.g., Excel or Google Sheets).
- Introductory experience with analytics or visualization tools (e.g., SQL, Power BI, Tableau, or similar) is beneficial.
Qualifications
- Bachelor’s degree (completed or in progress) in Data Science, Statistics, Mathematics, Computer Science, Health Informatics, or a related field is preferred.
- Ability to work independently in a remote setting, manage time effectively, and learn new tools and concepts quickly.
- Interest in healthcare, digital health platforms, or care coordination, with a willingness to understand clinical workflows and patient data.