Data Analytics Intern

Data Analytics Intern (Data Science Team)

Location: Doha, Qatar (Work From Office)

Duration: 6 Months, with the possibility of full-time employment upon successful completion of the internship, subject to performance evaluation and business requirements.

Eligibility: Valid Qatar ID (QID) required

Role Overview

• We are looking for a motivated Data Analytics Intern to join our Data Science team.
• This role focuses on medical and health-related data analytics, supporting real-world healthcare datasets such as clinical records, laboratory data, and longitudinal patient metrics.
• The intern will gain hands-on exposure to healthcare analytics workflows, database-driven reporting, and data preparation for downstream data science and AI models used in real-world healthcare products.
• High-performing interns may be considered for conversion to a regular full- time position upon successful completion of the internship, subject to performance and organisational requirements.

Key Responsibilities

• Write and Optimise queries using MySQL and MongoDB on healthcare datasets
• Build and maintain dashboards and analytical reports for healthcare metrics (clinical operations, outcomes tracking, population analytics)
• Perform data cleaning, validation, and transformation on medical and longitudinal health data
• Conduct exploratory data analysis (EDA) to identify trends in clinical and biomedical datasets
• Support data-driven insights for clinicians, researchers, and internal product teams
• Assist data scientists with feature analysis, metric tracking, and data preparation for medical AI and predictive modelling tasks

Required Skills

• Strong hands-on knowledge of MySQL and good understanding of MongoDB
• Experience with dashboarding / reporting tools
• Solid foundation in data analytics concepts (metrics, trends, cohort analysis)
• Basic understanding of Python-based data workflows
• Ability to work carefully with structured medical data, maintaining accuracy and attention to detail
• Curious, detail-oriented, and eager to learn healthcare data science end-to- end