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Business Intelligence Lead

Employer Overview

A leading composite insurance provider in the UAE, operating in Dokki, Giza, with nearly five decades of excellence, offering comprehensive insurance solutions across health, life, motor, and general lines. The organization operates across all Emirates and Oman, serving over 800,000 clients through a strong network of branches, brokers, bancassurance partners, and digital channels. Renowned for its financial strength and service excellence, it continues to set the benchmark for customer satisfaction and innovation in the regional insurance market.


Job Summary

The Business Intelligence Lead monitors and reports on the performance of all office functions, ensuring that data is accurate, accessible, and effectively used for analytical and decision-making purposes. The role supports management by creating dashboards, analyzing trends, and driving process improvements through data insights.


Key Responsibilities

  • Monitor and report KPIs for all office functions on a daily, weekly, monthly, quarterly, and annual basis, ensuring data accuracy and reliability.
  • Design, develop, and maintain dashboards and performance reports to support management decision-making.
  • Analyze complex data sets using analytical and statistical techniques to identify trends, generate insights, and support business improvements.
  • Develop and maintain databases, data collection systems, and reporting processes while identifying opportunities for automation and operational efficiency.

Qualifications

  • Bachelor’s degree in Statistics, Data Science, Computer Science, or a related field; professional certifications in data analytics or BI tools are a plus.
  • 3–5+ years of experience in data analysis, performance management, or MIS reporting, preferably within insurance or financial services.
  • Strong technical skills in Microsoft Excel, Power BI, Tableau, database management, and data modeling.
  • Excellent analytical, problem-solving, and communication skills with the ability to translate complex data into actionable insights and support business decisions.

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