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Data Analyst Ras-al-Khaimah UAE

Job in Ras Al Khaimah, Ras Al Khaimah, UAE/Dubai
Listing for: Avanta Works
Full Time position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Mining
Job Description & How to Apply Below
Position: Data Analyst job vacancy in Ras-al-Khaimah UAE
Data Analyst vacancy in Ras-al-Khaimah UAE

Data Analyst job vacancy in Ras-al-Khaimah UAE. Duties and responsibilities, qualifications and skills.

Data Analyst Job in Ras-al-Khaimah.

We are looking for an experienced Data Analyst to join our team in Ras-al-Khaimah. The successful candidate will have a strong understanding of data analysis principles, be able to interpret data quickly and accurately, and have excellent problem-solving skills. The ideal candidate should also be able to communicate complex information clearly and efficiently. We are offering a salary of 1800 AED per month for this position, and we are ready to consider an immigrant.

Job Description

The Data Analyst will be responsible for analyzing large amounts of data from multiple sources, identifying patterns and trends in the data, developing models to explain the findings, and creating reports to share the results with relevant stakeholders. The analyst will also be responsible for ensuring the accuracy of reports by performing tests and validations on the data set.

Duties & Responsibilities
  • Analyze large datasets from multiple sources using appropriate tools
  • Identify patterns, trends, anomalies, correlations, etc. in the data
  • Develop models to explain findings
  • Prepare reports on findings for stakeholders
  • Perform tests & validation on datasets to ensure accuracy of reports
  • Utilize software such as SAS or SPSS for analysis purposes
  • Stay up-to-date with new technologies & trends in data analysis field
Qualifications & Skills
  • Bachelor's degree or higher in Computer Science or related field preferred
  • Proven experience working as a Data Analyst (minimal experience is required)
  • Excellent problem solving skills with a focus on accuracy & attention to detail
  • Advanced knowledge of SQL & SAS/SPSS or other relevant software tools
  • Excellent communication & presentation skills

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