Data Analyst - Predictive Modeling & Dashboards (Dubai)

JobLeader; Dubai; On-site; AED 180,000 - 260,000; Full time

Job summary

JobLeader in Dubai, UAE is seeking an experienced Data Analyst to join our dynamic team. The role involves analyzing data, building models, and presenting findings to support business decisions.

You will manipulate large datasets, use Python or R, and communicate insights to stakeholders across the organization. Experience with AI techniques such as ML or DL is a plus, but not mandatory, and collaboration with cross-functional teams is essential.

Qualifications

• Bachelor's degree in a quantitative field (math/stats/CS) is required.
• Experience with predictive models and AI techniques (ML/DL) is preferred but not mandatory.
• Proficiency in Python or R and ability to communicate with stakeholders.

Responsibilities

• Develop data collection systems and strategies to optimize statistical efficiency and data quality.
• Develop and implement databases and data analytics solutions to optimize statistical efficiency.
• Work with management to prioritize business and information needs.
• Analyze complex datasets using advanced techniques.
• Design models for predicting outcomes.
• Generate reports/dashboards/visualizations based on analyses.
• Identify trends or patterns in complex datasets.
• Validate new methods of data acquisition or analysis.

Skills

Data mining

Data analysis

Python/R

Statistics

Problem solving

Cross-functional teamwork

Communication

Education

Bachelor's degree in Mathematics

Bachelor's degree in Statistics

Bachelor's degree in Computer Science

Tools

SQL

Excel

Tableau

Job description

JobLeader in Dubai, UAE is seeking an experienced Data Analyst to join our dynamic team. The role involves analyzing data, building models, and presenting findings to support business decisions.

You will manipulate large datasets, use Python or R, and communicate insights to stakeholders across the organization. Experience with AI techniques such as ML or DL is a plus, but not mandatory, and collaboration with cross-functional teams is essential.