Data Analytics Manager Insurance Strategy - Al-Futtaim - Dubai UAE

• Build and lead a high-performing team of data analysts and data scientists focused on insurance analytics and advanced modeling
• Develop and implement an enterprise analytics roadmap supporting property and casualty insurance business goals
• Design predictive models for customer churn analysis, fraud detection, and risk segmentation
• Collaborate closely with underwriting, actuarial, and product teams to ensure analytics models align with regulatory requirements and business strategy
• Maintain strong data governance practices ensuring accuracy and reliability of policyholder and claims data
• Develop executive dashboards and reporting tools to track business KPIs such as combined ratio, retention rates, and new policy growth
• Lead development of advanced analytics models including machine learning algorithms and generalized linear models for pricing and risk assessment
• Manage insurance data lakes and large-scale datasets used for actuarial analysis and business intelligence
• Translate complex analytical insights into practical recommendations for business leaders
• Identify opportunities to enhance customer lifecycle management through data-driven strategies

• Eight or more years of experience in data analytics, business intelligence, or data science roles within the insurance sector
• Strong knowledge of predictive modeling, machine learning, and advanced statistical analysis techniques
• Experience working with insurance datasets such as claims history, policyholder data, and catastrophe modeling data
• Ability to collaborate with underwriting, actuarial, and product teams on data-driven decision making
• Strong analytical thinking and ability to communicate insights to business stakeholders

• Predictive analytics and statistical modeling
• Machine learning and risk analytics for insurance
• Data lake architecture and big data processing
• Business intelligence dashboards and KPI reporting
• Cloud data platforms such as AWS, Azure, or Google Cloud
• Data governance and data quality management
• Advanced analytics tools and programming for large datasets

• Opportunity to lead advanced analytics initiatives within a leading regional insurance organization
• Work on high-impact projects including pricing optimization, fraud detection, and risk analytics
• Collaborative environment integrating data science with insurance operations
• Exposure to enterprise data platforms and cloud analytics infrastructure
• Competitive compensation and strong career development opportunities

• Build and lead a high-performing team of data analysts and data scientists focused on insurance analytics and advanced modeling
• Develop and implement an enterprise analytics roadmap supporting property and casualty insurance business goals
• Design predictive models for customer churn analysis, fraud detection, and risk segmentation
• Collaborate closely with underwriting, actuarial, and product teams to ensure analytics models align with regulatory requirements and business strategy
• Maintain strong data governance practices ensuring accuracy and reliability of policyholder and claims data
• Develop executive dashboards and reporting tools to track business KPIs such as combined ratio, retention rates, and new policy growth
• Lead development of advanced analytics models including machine learning algorithms and generalized linear models for pricing and risk assessment
• Manage insurance data lakes and large-scale datasets used for actuarial analysis and business intelligence
• Translate complex analytical insights into practical recommendations for business leaders
• Identify opportunities to enhance customer lifecycle management through data-driven strategies

• Eight or more years of experience in data analytics, business intelligence, or data science roles within the insurance sector
• Strong knowledge of predictive modeling, machine learning, and advanced statistical analysis techniques
• Experience working with insurance datasets such as claims history, policyholder data, and catastrophe modeling data
• Ability to collaborate with underwriting, actuarial, and product teams on data-driven decision making
• Strong analytical thinking and ability to communicate insights to business stakeholders

• Predictive analytics and statistical modeling
• Machine learning and risk analytics for insurance
• Data lake architecture and big data processing
• Business intelligence dashboards and KPI reporting
• Cloud data platforms such as AWS, Azure, or Google Cloud
• Data governance and data quality management
• Advanced analytics tools and programming for large datasets

• Opportunity to lead advanced analytics initiatives within a leading regional insurance organization
• Work on high-impact projects including pricing optimization, fraud detection, and risk analytics
• Collaborative environment integrating data science with insurance operations
• Exposure to enterprise data platforms and cloud analytics infrastructure
• Competitive compensation and strong career development opportunities

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