Data Analyst

JobCenter; Ras Al Khaimah; On-site; AED 120,000 - 200,000; Full time

Job summary

A data solutions company in Ras Al Khaimah is seeking a Data Analyst to join their team. The role involves analyzing data, creating reports, and making insights-based recommendations. Candidates with a passion for working with data are encouraged to apply, and those with no experience will be considered. The position offers a monthly salary of 1200 AED.

Qualifications

• Bachelor’s degree in computer science or related field preferred.
• Knowledge of SQL and other programming languages preferred.
• Strong analytical skills with the ability to interpret complex datasets.

Responsibilities

• Collect, analyze and interpret large volumes of data from multiple sources.
• Generate reports based on analytical findings.
• Create visualizations to present data in an easy-to-understand format.

Skills

Data analysis

SQL

Problem solving

Attention to detail

Analytical skills

Education

Bachelor's degree in computer science or related field

Job description

Data Analyst – Ras Al Khaimah, UAE

Data Analyst job vacancy in Ras-al-Khaimah UAE. We are looking for a Data Analyst to join our team in Ras Al Khaimah. The ideal candidate should have a passion for working with data, analytics and insights. The successful candidate will be responsible for analyzing data, creating reports, and making recommendations based on their findings. We are willing to consider an immigrant with no experience for this position. The salary is 1200 AED per month.

Responsibilities:

• Collect, analyze and interpret large volumes of data from multiple sources
• Develop methods for collecting data from various sources
• Identify trends and patterns in the data
• Generate reports based on analytical findings
• Create visualizations to present data in an easy-to-understand format
• Develop strategies to optimize the use of data

Qualifications:

• Bachelor’s degree in computer science or related field preferred
• Knowledge of SQL and other programming languages preferred
• Excellent problem solving skills and attention to detail
• Strong analytical skills with the ability to interpret complex datasets