Data Analyst Trainee
MedTourEasy Navi Mumbai
United Arab EmiratesFresher1h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Data analysisData visualizationStakeholder managementPythonSQLExcel
- Work
- On-site in United Arab Emirates
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis85%Data visualization68%Python48%Stakeholder management30%of 99 similar fresher jobs posted in India this week
- Listed
- 31 Oct 2026 · still open
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About the Role
MedTourEasy is a healthcare technology organization focused on improving access to medical services and information through digital platforms. This remote Data Analytics Traineeship is designed for individuals seeking practical experience in data-driven decision-making within the healthcare technology domain.
Key Responsibilities
- Collecting, cleaning, and organizing data from various internal and external sources.
- Performing basic data analysis to identify trends, patterns, and key insights.
- Supporting data modeling activities under the guidance of senior team members.
- Assisting in preparing reports, dashboards, and visualizations to communicate findings clearly to stakeholders.
- Helping to maintain data documentation and standards.
- Collaborating with cross-functional teams.
- Learning best practices in data management.
- Continuously developing analytical and technical skills.
Requirements & Tech Stack
- Ability to apply Data Analytics and Data Analysis techniques to real-world business and healthcare problems.
- Strong Analytical Skills for interpreting datasets, identifying trends, and drawing logical conclusions.
- Foundational experience or coursework in Data Management, including data cleaning, organizing, and validation.
- Basic understanding of Data Modeling concepts and willingness to learn and support model development.
- Familiarity with spreadsheets and analytical tools (e.g., Excel, SQL, Python, or R) is highly beneficial.
- Strong attention to detail, problem-solving mindset, and ability to work independently in a remote setting.
- Effective written and verbal communication skills to present data findings clearly to non-technical audiences.
- Currently pursuing or recently completed a degree or certification in Data Science, Statistics, Computer Science, Engineering, or a related field.