Data Analyst job in Musaffah UAE

Woopel; Musaffah; On-site; AED 12,000 - 15,000; Full time

Job summary

Woopel in Musaffah, UAE is seeking a Data Analyst to join our team on a full-time basis. The role focuses on analyzing data from diverse sources, delivering actionable insights, and influencing decision-making with robust data-driven findings.

The ideal candidate has a degree in CS or related field, strong problem solving, and hands-on experience with data mining and analytics tools such as R, SAS or SPSS, plus SQL/MySQL for data access and management.

Qualifications

• Degree in Computer Science, Mathematics or related field.
• Strong problem solving with a focus on data analysis.
• Experience with data mining and analytics tools (R, SAS, SPSS).

Responsibilities

• Analyze data from multiple sources and provide insights to inform decision-making.
• Develop dashboards, reports and visualizations to present findings.
• Identify patterns and trends in large datasets to support strategy formation.

Skills

Data analysis

Problem solving

Communication

Education

Degree in Computer Science

Degree in Mathematics

Related field

Tools

SQL

MySQL

R

SAS

SPSS

Job description

Data Analyst job in Musaffah UAE

We are looking for a Data Analyst in Musaffah to join our team. The position is full-time and offers a salary of 1200.

Job Description

The Data Analyst will be responsible for analyzing data from various sources, providing insights, and helping to inform decision-making. The ideal candidate should have experience in using data mining and analytics tools to uncover trends, develop strategies, and build predictive models. The analyst will also be required to create dashboards, reports, and visualizations to present the findings of their analysis.

Demands for the Candidate

• Degree in Computer Science, Mathematics or a related field.
• Strong problem solving skills with a focus on data analysis.
• Expertise in using data mining and analytics tools such as R, SAS or SPSS.
• Knowledge of database management systems such as SQL or MySQL.
• Excellent communication skills with both technical and non-technical audiences.
• Ability to identify patterns in large datasets.
• Attention to detail and accuracy in all tasks performed.
• Foreigners are welcome to apply for this position.