Data Analyst in Abu-Dhabi, UAE

PPOAR; Abu Dhabi; Presencial; AED 16 000 - 22 000; Tempo integral

Resumo da oferta

PPOAR in Abu Dhabi is seeking an experienced Data Analyst to join our growing team. This full-time role focuses on the complex analysis of large databases and translating them into meaningful insights to support business decisions.

The ideal candidate will have a strong problem-solving mindset and the ability to communicate findings clearly to non-technical stakeholders. The role stresses data integration, analysis across multiple sources, and delivering actionable insights that drive strategic

Qualificações

• Experience as a Data Analyst in a technical environment.
• Ability to translate large datasets into actionable insights.

Responsabilidades

• Analyze data from multiple sources, including structured and unstructured datasets
• Develop complex queries for data extraction and manipulation
• Clean, organize and transform data for analysis
• Interpret data to identify meaningful trends and insights
• Provide recommendations to improve processes

Conhecimentos

Data analysis

Descrição da oferta de emprego

Data Analyst in Abu-Dhabi, UAE, responsibility and requirements.

Job Summary

We’re looking for an experienced Data Analyst to join our growing team in Abu Dhabi. This position comes with a salary of 1700 and is open to both local and immigrated candidates. This is a full-time role, and the successful candidate(s) will be focused on the complex analysis of large databases and translating them into meaningful insights.

Benefits of Working with Us

In this role, you will have the opportunity to work with highly experienced technology professionals in an innovative and fast-growing company. You will gain skills and experience in the latest industry trends and techniques, as well as an expansive network within the technology sector.

Responsibilities

• Analyze data from multiple sources, including structured and unstructured datasets
• Develop complex queries for data extraction and manipulation
• Clean, organize and transform data for analysis
• Interpret data to identify meaningful trends and insights
• Provide recommendations to improve processes

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