Data Analyst - Customer Insights & Dashboards (UAE)

JobCenter; Fujairah Emirate; On-site; AED 9,100 - 11,000; Full time

Job summary

Reef Al Fujairah City in the UAE is seeking an experienced Data Analyst to support the business by developing and maintaining our data architecture. You will collaborate with stakeholders to provide accurate analyses, build data models for customer segmentation, and design dashboards that make key metrics easy to access.

The ideal candidate has advanced SQL skills, hands-on experience with Oracle or MS SQL Server, and knowledge of predictive analytics or machine learning; strong English

Qualifications

• Bachelor’s degree in Computer Science or a related field.
• Advanced knowledge of SQL.
• Experience with Oracle or MS SQL Server.
• Knowledge of predictive analytics or machine learning.
• Ability to interpret complex data sets into meaningful insights.

Responsibilities

• Analyze customer behavior using statistical methods to uncover trends and opportunities.
• Identify relevant customer segments for targeted marketing campaigns.
• Develop and maintain data models to support customer segmentation strategies.
• Design reporting dashboards that enable easy access to key information.
• Monitor customer satisfaction through surveys and feedback loops.
• Create detailed reports on performance metrics to inform decision making processes.
• Evaluate customer feedback to improve services offered by the organization.
• Work with external partners to develop data solutions that meet organizational needs.

Skills

SQL

Data analysis

Statistical methods

Education

Bachelor’s degree in Computer Science or related field

Tools

Oracle

MS SQL Server

Job description

Reef Al Fujairah City in the UAE is seeking an experienced Data Analyst to support the business by developing and maintaining our data architecture. You will collaborate with stakeholders to provide accurate analyses, build data models for customer segmentation, and design dashboards that make key metrics easy to access.

The ideal candidate has advanced SQL skills, hands-on experience with Oracle or MS SQL Server, and knowledge of predictive analytics or machine learning; strong English