Data Analyst vacancy in Dubai UAE

Want More; Dubai; On-site; AED 12,000 - 15,000; Full time

Job summary

Want More in Dubai is seeking an experienced Data Analyst to join the team. You will develop data-driven insights and analytical models to support decision making.

The role involves sourcing data, building visualizations, and presenting findings to stakeholders, with a monthly salary noted as AED 1,200. You will work with internal teams to improve data quality and inform strategic decisions.

Qualifications

• The successful candidate will have a track record of developing and analyzing data to support decision making.
• You should be able to develop data-driven insights, create analytical models, and utilize a wide range of software programs to analyze large datasets.
• You should also be able to provide detailed reports that can inform strategic decisions.

Responsibilities

• Work with internal teams to source and collect data from various sources
• Analyze data and identify patterns, trends, correlations, and other key insights
• Develop predictive models based on data analysis
• Present data using visualizations such as charts, graphs, tables, etc.
• Monitor data accuracy and quality while providing recommendations for improvement
• Keep up-to-date with industry trends related to the analysis of large datasets
• Communicate findings effectively to cross-functional stakeholders

Job description

Data Analyst vacancy in Dubai UAE

We are looking for an experienced and highly motivated Data Analyst to join our team in Dubai. This exciting opportunity offers a competitive salary of AED 1200 per month.

The successful candidate will have a track record of developing and analyzing data to support decision making. You should be able to develop data-driven insights, create analytical models, and utilize a wide range of software programs to analyze large datasets. You should also be able to provide detailed reports that can inform strategic decisions.

Responsibilities

• Work with internal teams to source and collect data from various sources
• Analyze data and identify patterns, trends, correlations, and other key insights
• Develop predictive models based on data analysis
• Present data using visualizations such as charts, graphs, tables, etc.
• Monitor data accuracy and quality while providing recommendations for improvement
• Keep up-to-date with industry trends related to the analysis of large datasets
• Communicate findings effectively to cross-functional stakeholders