Data Analyst vacancy in Zayed City UAE

Woopel; Zayed City; On-site; AED 15,000 - 18,000; Full time

Benefits offered by this job

Flexible hours

Health insurance

Paid holidays

Job summary

Woopel in Zayed City, UAE seeks an experienced Data Analyst to join our team and help organize, analyze and interpret large data sets to inform business decisions. The role requires 3 years of relevant experience and involves building models, developing queries, and presenting insights to stakeholders.

The ideal candidate will develop dashboards, apply statistical techniques, and collaborate with management to drive data-driven decisions.

Qualifications

• 3 years of experience in a data analyst role.
• Experience collecting, analyzing and interpreting large data sets.
• Ability to develop data models and analysis methods.

Responsibilities

• Organize information from multiple sources into reports.
• Develop models and methods for data analysis.
• Apply statistical techniques to identify trends.
• Create databases and queries to store and retrieve data.
• Present results to management or clients with visuals.
• Provide data-driven insights to support decisions.

Skills

Data analysis

SQL

Statistical methods

Data visualization

Tools

SQL databases

Job description

Data Analyst vacancy in Zayed City UAE and job duties

Zayed City is looking for an experienced Data Analyst to join our team. We offer a competitive salary of 1500 and are open to considering an immigrant for this position.

As a data analyst, you will be responsible for collecting, analyzing, and interpreting large sets of data in order to identify trends and patterns to help inform decisions about the company. The ideal candidate should have 3 years of experience in a similar role.

At Zayed City we offer our employees various benefits such as flexible working hours, paid holidays, health insurance, and many more.

The main duties of the Data Analyst include:

• Organizing information from different sources into meaningful reports
• Developing models and methods for analyzing data
• Utilizing statistical techniques to identify trends
• Interpreting data to understand patterns or relationships between different variables
• Developing databases and queries to store, retrieve and manipulate information
• Presenting results in graphical or other forms to management or clients
• Providing data-driven insights that support decision-making processes

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