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Data Analyst job vacancy in El-Ain UAE

Job in Al Ain, UAE/Dubai
Listing for: Workato
Full Time position
Listed on 2026-08-15
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Mining
Job Description & How to Apply Below

Data Analyst job vacancy in El-Ain UAE

We are looking for an experienced Data Analyst to join our team in El-Ain. The successful candidate will be responsible for collecting, analyzing, and interpreting data to help inform decisions for the organization.

The ideal candidate should have strong analytical and problem-solving skills, as well as the ability to think critically and creatively.

The salary offered is 1500 per month and we are open to considering foreigners for this position.

The role of the Data Analyst requires a deep understanding of business processes and operations in order to identify areas of potential improvement or opportunities for growth. The analyst must be able to communicate complex data in an understandable format that can be used by stakeholders to make informed decisions. Additionally, the analyst should be able to work with stakeholders both internally and externally to ensure data accuracy and integrity.

Requirements
  • Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field
  • A minimum of two years of experience working with data sets
  • Excellent analytical and problem-solving skills
  • Advanced knowledge of Microsoft Excel
  • Excellent communication skills
  • Ability to work independently as well as part of a team
  • Ability to work under pressure and meet tight deadlines
  • Knowledge of database software such as SQL is preferred but not required
Duties
  • Collecting, analysing, interpreting large amounts of data from multiple sources
  • Identifying trends within datasets using statistical methods such as regression analysis or cluster analysis
  • Developing reports from collected data that can be used by stakeholders in decision making processes
  • Working closely with stakeholders both internally and externally to ensure accuracy of data
  • Developing automated systems for collecting data more efficiently
  • Creating visuals such as charts or graphs that display complex data more clearly
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