Lead Specialist, Data Analytics & ERM Reporting II

Role Profile

Job Title: Lead Specialist, Data Analytics & ERM Reporting II

Department: Risk

Job Location: Riyadh

Working hours: 8 hours

Job post duration: starting 12 January 2026 - end date: 22 January 2026

Type of work
:
Full-time

The Lead Specialist, Data Analytics II, plays a critical role in ensuring the accuracy, consistency, and integrity of data that supports the Enterprise Risk Management function. The role is responsible for developing practical data-driven solutions, optimizing risk records, and enabling data transparency to support effective risk decision-making. By embedding smart analytics into ERM practices, the position directly contributes to advancing the organization's risk culture and strategic resilience.

• Data Integrity & Governance: Ensure completeness and reliability of risk-related data across systems, tools, and registers.
• Risk Register Optimization: Continuously enhance the structure, content, and utility of risk registers to support proactive risk monitoring and reporting.
• Solution Design: Develop tailored analytics models, dashboards, and tools that facilitate strategic insights and improve the usability of ERM systems.
• Policy & Framework Compliance: Support full alignment with the ERM Policy and Framework, ensuring consistency in data capture and risk reporting.
• Analytics & Visualization: Provide meaningful visualizations, trends, and dashboards to communicate risk insights across the organization.
• Collaboration & Training: Work closely with ERM stakeholders and risk owners to support data-driven engagement; develop guidance documents or deliver training when needed.
• Innovation & Automation: Identify opportunities for process automation, system enhancements, and advanced analytics to streamline data management in ERM.
• KPI Tracking: Contribute to the definition and tracking of ERM team performance indicators and recommend improvements based on data trends.

• Bachelor’s degree in data analytics, information systems, risk management, or a related field (master’s preferred).
• 5+ years of experience in data analytics, preferably in a risk, governance, or compliance environment.
• Proficient in data visualization tools (e.g., Power BI, Tableau) and database management (e.g., SQL).
• Solid understanding of enterprise risk management principles, practices, and frameworks.
• Strong analytical thinking, problem-solving, and communication skills.
• Ability to manage multiple priorities and collaborate effectively across departments.

• Strong analytical and problem-solving skills, with the ability to interpret complex data and present findings effectively
• Proficient in risk assessment methodologies, quantitative risk analysis techniques, and risk mitigation strategies
• Familiarity with industry regulations, standards, and best practices related to enterprise risk management