Global Revenue Analytics Leader

Apex Group Ltd (UK Branch); Dubai; On-site; AED 550,000 - 735,000; Full time

Job summary

A global financial services firm in Dubai seeks a Head of Revenue Analytics to lead the analytics strategy and drive revenue growth. This role entails owning data models, overseeing dashboard development, and collaboration with IT for analytics performance. The ideal candidate will have 10–15+ years of experience in analytics, particularly within financial sectors, and a strong command of data modeling and SQL. You will lead a high-performing team and ensure data governance while integrating advanced predictive analytics into commercial workflows.

Qualifications

• 10–15+ years in analytics, data, or revenue intelligence roles.
• Experience leading analytics in financial services or related fields.
• Strong background in data modeling and SQL.
• Proven experience working with enterprise analytics teams.
• Demonstrated success translating analytics into commercial action.

Responsibilities

• Own end-to-end revenue analytics, including metrics and dashboards.
• Partner with IT for security and scalability of the analytics stack.
• Lead the evolution to predictive and prescriptive analytics.
• Drive integration of data sources for better insights.
• Lead the build of executive dashboards and scorecards.
• Establish data governance standards for quality.
• Build and lead a high-performing Revenue Analytics team.

Skills

Data modeling

Analytics engineering

SQL

Predictive insights

Commercial action translation

Job description

A global financial services firm in Dubai seeks a Head of Revenue Analytics to lead the analytics strategy and drive revenue growth. This role entails owning data models, overseeing dashboard development, and collaboration with IT for analytics performance. The ideal candidate will have 10–15+ years of experience in analytics, particularly within financial sectors, and a strong command of data modeling and SQL. You will lead a high-performing team and ensure data governance while integrating advanced predictive analytics into commercial workflows.