Data Analyst Trainee
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Key skills for this role
Role Overview
This remote internship supports analytics projects for InsightAI by MedTourEasy.
The role provides hands-on exposure to AI-driven healthcare analytics and emphasizes data quality and ethical use of health information.
Key Skills for This Role
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Company Description
InsightAI by MedTourEasy is an artificial intelligence platform that transforms healthcare data into actionable insights.
The platform uses machine learning, predictive analytics, and intelligent data modeling across clinical, operational, and financial data.
MedTourEasy Singapore offers opportunities to work with data technologies in a healthcare environment.
Role Description
This remote internship supports analytics projects for InsightAI by MedTourEasy.
The role provides hands-on exposure to AI-driven healthcare analytics and emphasizes data quality and ethical use of health information.
Responsibilities
- Clean, organize, and validate healthcare datasets.
- Assist in building data models and perform basic statistical analyses.
- Contribute to dashboards and reports for internal teams and stakeholders.
- Document data processes and collaborate with product and engineering teams.
- Help test and refine analytical features within the platform.
Qualifications
- Strong analytical skills and foundational data analytics capabilities are required.
- Knowledge of statistics and experience applying statistical methods to real-world datasets are required.
- Data modeling skills are required, including structuring, organizing, and interpreting complex data.
- Effective communication skills for explaining analytical findings to non-technical audiences are required.
- Familiarity with SQL, Python or R, and basic data visualization with Power BI or Tableau is beneficial.
- Enrollment in or completion of a degree in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.
- Applicants should be able to work independently remotely, manage time, and collaborate across diverse international teams.
- Interest in healthcare analytics, ethical handling of sensitive data, and AI-driven insight generation is advantageous.
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