Data Analyst

Job Description – Data Analyst (Responsible Gaming)

Location: Abu Dhabi, UAE

Job Overview:

The role focuses on leveraging data analytics to enhance responsible gaming practices. The position involves monitoring player behaviour, developing harm reduction strategies, and ensuring regulatory compliance through advanced analytics, reporting, and cross-functional collaboration.

Key Responsibilities:

• Data Analysis and Insights: Analyze player behaviour, risk scores, and responsible gaming metrics to identify issues and recommend protection strategies.
• Reporting and Dashboards: Maintain and improve real-time dashboards to monitor key Responsible Gaming (RG) metrics and support compliance reporting.
• Cross-functional Collaboration: Work with Product, Operations, and Compliance teams to provide data-driven recommendations and actionable insights.
• Advanced Analytics: Utilize statistical and machine learning techniques to detect patterns, support early intervention strategies, and improve player safety.
• Anomaly Detection: Monitor data for irregularities indicating potential gaming issues or system problems, determine root causes, and recommend solutions.
• Data Integrity and Accuracy: Ensure data consistency, reliability, and accuracy while fostering a culture of data-driven decision-making within the organization.

Qualifications:

Education and Industry Knowledge

• Bachelor’s degree in Statistics, Data Science, Mathematics, or related fields with a focus on behavioural data analysis.
• Familiarity with responsible gaming principles, player protection strategies, and regulatory requirements is preferred.

Technical Skills

• Proficiency in statistical tools and machine learning applications (e.g., Python, R).
• Expertise in SQL for processing and analyzing large data sets.
• Experience with data visualization tools like Tableau, Power BI, or Looker.

Experience and Attributes

• Minimum of 3 years of data analysis experience, preferably at large organizations or e-commerce platforms.
• Strong logical thinking, analytical skills, and the ability to communicate complex analyses effectively to stakeholders.
• Self-motivated, responsible, and capable of working independently in fast-paced environments.
• Fluency in English; additional languages are a plus.