BI Data Analyst - Fraud Data Management & Analysis at Nedbank

Job Purpose

• To manage, optimize, and analyse fraud-related data across the enterprise to support accurate reporting (including regulatory reporting) and provide actionable insights into fraud risk and exposure. The role includes producing static reports and interactive Power BI dashboards, ensuring data integrity and correct data capture, and integrating data from multiple sources such as PRM (Card Fraud), the Digital Banking Fraud Repository, and the SAS Viya Integrated Fraud Database.

Job Responsibilities

• Fraud Data Analysis: Perform in-depth analysis of fraud data to identify patterns, trends, and emerging risks. Provide actionable insights to support fraud prevention strategies.
• Reporting & Visualization: Develop and maintain static reports and dynamic Power BI dashboards to monitor fraud risk, exposure, and performance metrics.
• Regulatory Reporting: Ensure timely and accurate submission of fraud-related regulatory reports in compliance with governance standards.
• Data Integration: Consolidate and harmonise data from PRM, the Digital Banking Fraud Repository, and SAS Viya into a unified structure for analysis and reporting.
• Data Quality & Integrity: Implement validation processes and controls to guarantee accurate data capture and integrity across all fraud systems.
• Stakeholder Engagement: Collaborate with fraud detection teams, risk management, and business units to translate analytical findings into actionable strategies.
• Continuous Improvement: Identify opportunities to enhance fraud data processes, reporting efficiency, and analytical capabilities.
• Incident Resolution: Address data-related issues promptly through proper escalation and tracking channels.

Qualifications & Experience

• Essential: Diploma in IT or related field
• Preferred: Degree in Information Technology, Business Management, Mathematics, or Statistics
• Certifications (preferred): DAMA or equivalent data management certification
• Experience: Minimum 8 years relevant experience, with 3–5 years in data analysis or BI roles

Tech Stack Requirements

• SQL (Advanced proficiency)
• SSIS (SQL Server Integration Services)
• Highly Advantageous:
• Base SAS
• Denodo (Data Virtualization)
• BI Tools: Power BI (essential for dashboard development)

Core Competencies

• Advanced SQL and ETL skills
• Strong analytical capability to interpret fraud data and identify risk trends
• Expertise in Power BI dashboard development
• Ability to integrate data from multiple sources and ensure data quality
• Excellent communication and stakeholder engagement skills

Technical / Professional Knowledge

• Administrative procedures and systems
• Banking knowledge
• Banking procedures
• Business principles
• Business terms and definitions
• Data analysis
• Governance, Risk and Controls
• Microsoft Office
• Relevant regulatory knowledge
• Relevant software and systems knowledge
• Business writing skills
• Cluster Specific Operational Knowledge

Behavioural Competencies

• Coaching
• Communication
• Initiating Action
• Managing Work
• Quality Orientation
• Technical/Professional Knowledge and Skills