Data Analyst: Predictive Insights & Automated Analytics

Work in USA; Ajman; On-site; AED 10,000 - 12,000; Full time

Job summary

Work in USA is seeking a Data Analyst in Ajman, UAE. The role focuses on analyzing business data to optimize operations, with responsibilities spanning data mining, correlation analysis, and predictive analytics using SQL, Python, and R.

The candidate will prepare detailed reports, develop data collection methods, and present findings to other departments, collaborating across teams to drive process improvements.

Qualifications

• Bachelor’s degree in Mathematics, Statistics, Computer Science, or related field.
• Proven experience as a Data Analyst or similar role.
• Knowledge of database management systems such as MySQL and MS Access.
• Proficient in Excel, Power BI and other BI tools.
• Ability to manipulate large datasets with ease.

Responsibilities

• Create detailed reports based on the analysis of raw data
• Develop new methods for gathering information from multiple sources
• Use data to identify areas for improvement in operational processes
• Perform correlation analysis and predictive modeling to forecast trends
• Analyze large datasets to discover hidden patterns and correlations
• Create algorithms to automate data analysis
• Manage databases of customer information
• Present findings to other departments in the form of reports or presentations

Skills

Data mining

Correlation analysis

Predictive analytics

SQL

Python

R

Problem solving

Communication skills

Team collaboration

Education

Bachelor’s degree in Mathematics, Statistics, Computer Science, or related field

Tools

MySQL

MS Access

Excel

Power BI

Job description

Work in USA is seeking a Data Analyst in Ajman, UAE. The role focuses on analyzing business data to optimize operations, with responsibilities spanning data mining, correlation analysis, and predictive analytics using SQL, Python, and R.

The candidate will prepare detailed reports, develop data collection methods, and present findings to other departments, collaborating across teams to drive process improvements.