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QNB Group is seeking a Business Data Analyst to translate business requirements into specifications and support the enterprise data warehouse and BI environment. The role emphasizes data-driven decision making and collaboration with various stakeholders across the bank.
Ideal candidates have a Bachelor's in CS/Engineering and at least 2 years in financial services with web/mobile development experience, with strong analytical and documentation skills.
Established in 1964 as the country’s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region. QNB Group’s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines. QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard & Poor’s (A), Moody’s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications. Based on the Group’s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine. QNB Group has an active community support program and sponsors various social, educational and sporting events.
The incumbent is responsible for current process input/output controls and data requirements, defining business needs and translating them into business analysis and requirements specifications. The role also supports the enterprise data warehouse and business intelligence environment, managing data and database processes to meet ongoing organizational information needs. Responsibilities include maintaining enterprise information strategies, data models, and databases used for business applications and reporting systems.