Remote Data Insights Analyst — Flexible Hours

Snaphunt; United Arab Emirates; Hybrid; AED 120,000 - 200,000; Full time

Job summary

A leading recruitment platform in the United Arab Emirates is seeking a Data Analyst to transform data into actionable insights. You will analyze large datasets, prepare reports, and support decision-making through data-driven recommendations. Ideal candidates have a degree in Data Science or related field, proficiency in data visualization tools, and solid statistical analysis skills. This role offers competitive salary and benefits, along with flexible working hours and opportunities for professional growth.

Benefits

Flexible working hours and remote work options

Access to training and learning resources

Collaborative and inclusive company culture

Opportunities for career advancement

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, or related field.
• Experience with data visualization tools like Tableau and Power BI.
• Proficiency in statistical analysis using R and Python.
• Strong skills in database management and SQL.
• Experience in data cleaning and preprocessing.

Responsibilities

• Analyze large datasets to identify trends and patterns.
• Prepare reports and visualizations to communicate insights.
• Collaborate with cross-functional teams to understand data needs.
• Ensure data quality and integrity throughout the analysis process.
• Support decision-making by providing data-driven recommendations.

Skills

Data visualization tools (e.g., Tableau, Power BI)

Statistical analysis (e.g., R, Python)

Database management (e.g., SQL)

Communication

Problem Solving

Critical Thinking

Education

Degree in Data Science, Statistics, Mathematics, or related field

Tools

Tableau

Power BI

R

Python

SQL

Job description

A leading recruitment platform in the United Arab Emirates is seeking a Data Analyst to transform data into actionable insights. You will analyze large datasets, prepare reports, and support decision-making through data-driven recommendations. Ideal candidates have a degree in Data Science or related field, proficiency in data visualization tools, and solid statistical analysis skills. This role offers competitive salary and benefits, along with flexible working hours and opportunities for professional growth.