Data Analyst Trainee
MedTourEasy AP
United Arab EmiratesFresher4m agovia LinkedIn
Posted 14 Nov 2026, 09:09 IST
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Data analysisData visualizationData structures & algorithmsSQLExcelPower BI
- Nice to have
- Statistics
- Work
- On-site in United Arab Emirates
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis88%Data visualization71%SQL70%Data structures & algorithms7%of 105 similar fresher jobs posted in India this week
- Listed
- 14 Nov 2026 · still open
Sign in free to see which of these skills your resume already shows.
About the Role
MedTourEasy AP is a global healthcare company providing analytical solutions to healthcare providers worldwide to support data-driven decisions and improve patient outcomes. This is a remote traineeship program for a Data Analyst at MedTourEasy AP.
Key Responsibilities
- Assist in collecting, cleaning, and organizing healthcare and operational data from multiple sources.
- Perform basic data analysis.
- Prepare statistical summaries.
- Support the creation of dashboards and reports for internal teams and partner healthcare providers.
- Help interpret data insights.
- Contribute to data modeling activities.
- Communicate findings in clear formats for both technical and non-technical audiences.
- Document methods.
- Maintain data accuracy.
- Collaborate with senior analysts on ongoing projects.
Requirements & Tech Stack
- Analytical Skills
- Foundational Data Analytics capabilities
- Knowledge of Statistics and experience applying statistical concepts to real-world datasets
- Basic Data Modeling skills, including understanding of data structures and relational concepts
- Communication skills for presenting data insights and collaborating with cross-functional teams
- Familiarity with tools such as Excel, SQL, or data visualization software (e.g., Tableau, Power BI) is beneficial.
- Ability to work independently in a remote environment, manage time effectively, and handle multiple tasks with attention to detail.
- Interest in global healthcare systems and willingness to learn about healthcare data and regulatory considerations is an advantage.
Qualifications
- Current enrollment in or recent completion of a degree program in Data Science, Statistics, Mathematics, Computer Science, Healthcare Analytics, or a related field is preferred.