Data Analyst Trainee
MedTourEasy AP
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Data analysisData visualizationSQLExcelPower BITableau
- Nice to have
- Statistics
- Work
- On-site in United Arab Emirates
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis91%Excel77%Data visualization74%SQL68%of 96 similar fresher jobs posted in India this week
- Listed
- 4 Nov 2026 · still open
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About the Role
MedTourEasy AP is a global healthcare company focused on providing individuals and organizations with information to evaluate international healthcare options. The company delivers analytical solutions to partner healthcare providers, aiding data-driven decisions and improving patient outcomes.
Program Description
This is a remote traineeship program for a Data Analyst at MedTourEasy AP. The trainee will assist in collecting, cleaning, and organizing healthcare and operational data.
Key Responsibilities
- Performing basic data analysis.
- Preparing statistical summaries.
- Supporting the creation of dashboards and reports for internal teams and partner healthcare providers.
- Helping interpret data insights.
- Contributing to data modeling activities.
- Communicating findings in clear formats for both technical and non-technical audiences.
- Documenting methods.
- Maintaining data accuracy.
- Collaborating with senior analysts on ongoing projects.
Requirements & Tech Stack
- Familiarity with tools such as Excel, SQL, or data visualization software (e.g., Tableau, Power BI) is beneficial.
Qualifications
- Strong Analytical Skills and 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.
- Clear and effective Communication skills for presenting data insights and collaborating with cross-functional teams.
- 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.
- 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.