Junior Data Analyst - UAE National only (Emirati)

GluCare; United Arab Emirates; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading digital health organization in the UAE is seeking a Junior Data Analyst to support clinical and operational teams by analyzing healthcare-related datasets and creating dashboards. The ideal candidate is early in their data career, with strong technical skills, attention to detail, and a passion for healthcare innovation. This role offers opportunities for learning, mentorship, and career progression in a fast-growing clinical innovation environment.

Benefits

Opportunities for learning

Mentorship

Career progression

Qualifications

• 0–2 years of relevant experience in data analytics, preferably in healthcare.
• Proficiency in Excel and one or more data analysis tools such as SQL, Python, or R.
• Experience with data visualization platforms such as Power BI, Tableau, or Looker Studio.

Responsibilities

• Collect, clean, and analyze datasets from EMR systems and wearable devices.
• Build and maintain interactive dashboards to support clinical decision-making.
• Assist in defining and tracking KPIs for departments.

Skills

Data analysis

Attention to detail

Communication skills

Team player

Education

Bachelor’s degree in Data Science or related field

Tools

Excel

SQL

Python

Power BI

Tableau

Job description

Job Summary: We are seeking a Junior Data Analyst - UAE National - to support our clinical and operational teams by analyzing healthcare-related datasets, creating dashboards, and generating actionable insights. This role is ideal for someone early in their data career with strong technical skills, attention to detail, and a passion for healthcare innovation. Prior marketing experience is not required.

Key Responsibilities

• Work with healthcare, operational, and research teams to collect, clean, and analyze datasets from EMR systems, wearable devices, CRM platforms, and internal databases.
• Build and maintain interactive dashboards and reports using tools such as Power BI, Tableau, or Looker Studio to support clinical decision-making and operational planning.
• Assist in defining and tracking key performance indicators (KPIs) for departments including Clinical Operations, Patient Affairs, and Research.
• Perform exploratory data analysis (EDA) to identify trends, anomalies, and opportunities for process improvement.
• Support senior analysts and data scientists in preparing datasets for research publications and strategic projects.
• Document data processes and ensure data accuracy, privacy, and integrity across systems.
• Collaborate cross-functionally to understand data needs and translate them into technical deliverables.
• Generate routine and ad‑hoc reports for stakeholders as needed.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Health Informatics, or a related field.
• 0–2 years of relevant experience in data analytics, preferably in healthcare, tech, or operations.
• Proficiency in Excel and one or more data analysis tools such as SQL, Python, or R.
• Experience with data visualization platforms such as Power BI, Tableau, or Looker Studio.
• Understanding of database management, data cleaning, and wrangling techniques.
• Strong analytical mindset with attention to detail and problem‑solving abilities.
• Excellent communication skills and the ability to explain technical findings to non‑technical stakeholders.
• Team player who thrives in a dynamic, fast‑paced environment.

Preferred Qualifications

• Experience working with healthcare datasets (e.g., EMR, clinical KPIs, patient engagement data) is a plus.
• Familiarity with data protection standards such as HIPAA or GDPR is an advantage.

Why Join GluCare

Be part of a cutting‑edge digital health organization focused on real impact. Collaborate with a multidisciplinary team of clinicians, technologists, and researchers. Gain hands‑on experience with real‑world healthcare data in a fast‑growing clinical innovation environment. Opportunities for learning, mentorship, and career progression.