QNB-Vice President Data Analysis

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.

• 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

• Lead and manage a team of analysts, BI developers, and MIS experts with clear performance objectives and KPIs.
• Define team OKRs aligned with strategic initiatives across business segments and digital transformation.
• Define enterprise-level KPIs, measurement standards, and performance dashboards aligned with QNB’s strategic and financial objectives.
• Lead data-driven financial modelling, profitability analysis, and scenario planning to support C-level decisions.
• Optimize business outcomes by integrating advanced analytics into key revenue-generating areas such as lending, deposits, and fee income.
• Align analytics investments with organizational priorities and deliver maximum ROI from BI platforms and tools.
• Design and deliver cost-efficiency analysis for operational processes using benchmarking and variance analysis.
• Contribute to strategic initiatives such as Net Promoter Score growth, client retention, and cross-sell analytics.
• Monitor and analyse the impact of pricing, interest rate, and commission changes using dynamic models.
• Evaluate and mitigate financial risk exposure through data-supported key risk indicators (KRIs) and early-warning models.
• Act within the limits of the powers delegated to the incumbent and delegate authority to staff.
• Demonstrate clear understanding of the important factors behind the bank's financial and non-financial performance.

• Serve as a senior advisor to business units by converting data into insights to drive customer-centric strategy.
• Collaborate with stakeholders across retail, corporate, international, and digital banking to deliver customized performance reports.
• Lead strategic engagements with marketing, CRM, and product teams to optimize campaign effectiveness and client segmentation.
• Oversee analytics initiatives that drive onboarding, retention, upselling, and loyalty programs.
• Support branch/channel performance tracking and digital adoption strategies through channel-level analytics.
• Ensure availability of real-time dashboards and alerts for business users through self-service BI environments.
• Facilitate quarterly business reviews with senior executives using insight-backed reporting packs.
• Build external partnerships with vendors and service providers for benchmark studies and advanced analytics solutions.
• Assist customers in queries on Bank’s products and seek solutions to their requests.
• Maintain activities in accordance with Service Level Agreements to achieve improvements in turn-around time.
• Build and maintain strong and effective relationships with related departments to achieve Group objectives.
• Provide timely and accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required.

• Own and govern the enterprise data analytics lifecycle from requirement gathering to insight delivery and refinement.
• Design and deploy standardized business metric definitions and metadata repositories to support consistency across departments.
• Lead cross-functional working groups to address analytics use cases across finance, risk, treasury, operations, and compliance.
• Implement analytics frameworks to monitor and improve operational efficiency and cost optimization projects.
• Ensure regulatory-compliant data architecture and reporting…