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QNB- Vice President Data Analysis

Job in Doha, Baladīyat ad Dawḩah, Qatar
Listing for: QNB Group
Full Time position
Listed on 2026-11-05
Job specializations:
  • Management
    Data Science Manager
  • Finance & Banking
Salary/Wage Range or Industry Benchmark: 350000 - 550000 QAR Yearly QAR 350000.00 550000.00 YEAR
Job Description & How to Apply Below
Position: QNB3788 - Vice President Data Analysis
About QNB

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.

About QNB

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.

Job Summary

The Vice President – Data Analysis will lead the execution of QNB’s enterprise-wide analytics strategy, ensuring insights-driven decision-making across all business units. This role involves overseeing the development of executive dashboards, KPI frameworks, performance analysis, and business intelligence solutions that drive measurable business value. The incumbent will manage a team of analysts and collaborate across functions to improve profitability, enhance operational efficiency, and ensure compliance with internal and regulatory standards.

It is ideal that the candidate should have:
Advanced SQL and data modeling, Python, DWH / Lakehouse Design, ETL / ELT Pipeline Development, BI and reporting platforms, Data quality and reconciliation, Banking data domain knowledge, Workflow orchestration and automation, Databricks or similar, Data governance.

Main Responsibilities
  • Shareholder & Financial:
  • Lead and manage a team of analysts, BI developers, and MIS experts with clear performance objectives and

KPIs.

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