International Data Analyst: Insights, Dashboards & Forecasting

JobCenter

Fujairah

On-site

AED 18,000 - 22,000

Full time

14 days+

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Benefits offered by this job

Competitive salary
International work environment
Generous vacation package

Job summary

JobCenter is seeking a Data Analyst to join our team in El-Fujairah. The role involves analyzing data sets, creating reports and visualizations, and deriving insights from large data volumes. The ideal candidate will have strong analytical skills, attention to detail, and be proficient with SQL, Excel, and analytics tools.

Open to foreign applicants and offering a competitive monthly salary. The position emphasizes collaboration across departments to ensure data quality and to drive data-driven

Qualifications

  • Bachelor’s degree in Mathematics, Computer Science, or related field.
  • Experience as a Data Analyst or similar role.
  • Proficiency with SQL queries, Excel, and analytics tools (R/Python/SAS).
  • Excellent written and verbal communication skills.

Responsibilities

  • Analyze data sets to identify trends and patterns.
  • Create reports, visualizations, and dashboards to provide insights.
  • Develop predictive models to forecast future trends.
  • Collaborate with other departments to ensure data accuracy.
  • Identify opportunities for process improvements.
  • Monitor customer feedback and adjust strategies accordingly.

Skills

SQL queries
Excel spreadsheets
R/Python/SAS

Education

Bachelor’s degree in Mathematics, Computer Science, or related field

Tools

SQL
Excel
R
Python
SAS

Job description

JobCenter is seeking a Data Analyst to join our team in El-Fujairah. The role involves analyzing data sets, creating reports and visualizations, and deriving insights from large data volumes. The ideal candidate will have strong analytical skills, attention to detail, and be proficient with SQL, Excel, and analytics tools.

Open to foreign applicants and offering a competitive monthly salary. The position emphasizes collaboration across departments to ensure data quality and to drive data-driven

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