Data Analyst UAE National (Emirati) Grove Mall, Al Barsha, Dubai

GluCare; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading healthcare innovation firm in Dubai is seeking a Junior Data Analyst - UAE National. The role involves analyzing healthcare datasets and creating dashboards to support clinical operations. The ideal candidate will have a bachelor's degree in a related field and 2 years of analytics experience, with skills in Excel, SQL, and data visualization tools. This position offers growth opportunities in a dynamic environment.

Benefits

Opportunities for learning and mentorship

Hands-on experience with real-world data

Qualifications

• 02 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.

Responsibilities

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

Skills

Data analysis

Attention to detail

Problem-solving

Communication skills

Teamwork

Education

Bachelors degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or related field

Tools

Excel

SQL

Python

R

Power BI

Tableau

Looker Studio

Job description

Description

Location: Grove Mall Al Barsha Dubai

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

Requirements:

• Bachelors degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Health Informatics or a related field.
• 02 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.