Data Analyst in Abu Dhabi: Drive Insights & Growth

Workato; Abu Dhabi; On-site; AED 9,000 - 12,000; Full time

Benefits offered by this job

Health insurance

Growth potential

Flexible hours

Friendly team

Job summary

Workato is seeking a Data Analyst in Abu-Dhabi, UAE to join our team and manage data across projects. The role involves collecting, analyzing, and interpreting large data volumes from multiple sources, and developing algorithms to provide insights for customer needs and business decisions.

The successful candidate will have a Bachelor's degree in a related field, at least two years of experience with large datasets, and strong Excel or statistical software skills.

Qualifications

• Bachelor's degree in computer science, mathematics or a related field.
• At least two years of experience working with large datasets.
• Excellent knowledge of Excel or other statistical software.
• Strong problem solving skills.

Responsibilities

• Gather pertinent data from internal systems or external sources as needed.
• Analyze data using tools such as Excel or other statistical software.
• Develop sophisticated algorithms and models to gain insights from complex datasets.
• Identify trends in the data and draw meaningful conclusions.
• Communicate findings effectively with stakeholders.
• Collaborate with other departments in the organization to ensure accuracy of data analysis.
• Provide recommendations for improvement based on analysis results.
• Monitor changes in industry standards and regulations related to data collection activities.
• Stay up-to-date on emerging technologies related to data analysis.

Skills

Excel

Statistical software

Python or R (familiar)

Education

Bachelor's degree in CS/Math or related

Job description

Workato is seeking a Data Analyst in Abu-Dhabi, UAE to join our team and manage data across projects. The role involves collecting, analyzing, and interpreting large data volumes from multiple sources, and developing algorithms to provide insights for customer needs and business decisions.

The successful candidate will have a Bachelor's degree in a related field, at least two years of experience with large datasets, and strong Excel or statistical software skills.