BI Data Analyst in Fraud Data Management Role | Apply Now!

Job Details

🏦 Company: Nedbank
📍 Location: Johannesburg, South Africa
💼 Job Title: BI Data Analyst – Fraud Data Management & Analysis
🕒 Employment Type: Full-Time
⏳ Closing Date: 15 January 2026
🆔 Reference Number: 143577
🧾 Requisition ID: REQ 143577

Company Overview

Nedbank is one of South Africa’s leading financial institutions, committed to enabling sustainable growth and managing risk responsibly. Through innovation, strong governance, and data-driven decision-making, Nedbank continues to strengthen its fraud prevention capabilities while delivering trusted financial services across the region.

Job Purpose

The BI Data Analyst – Fraud Data Management & Analysis is responsible for managing, optimising, and analysing fraud-related data across the enterprise. The role supports accurate internal and regulatory reporting while delivering actionable insights into fraud risk and exposure. This position plays a critical role in ensuring data integrity, consolidating data from multiple fraud platforms, and developing both static reports and interactive Power BI dashboards to support informed decision-making.

Key Responsibilities

• Perform in-depth analysis of fraud data to identify trends, patterns, and emerging risks

• Produce actionable insights to support fraud prevention and risk mitigation strategies

• Develop, maintain, and enhance static reports and interactive Power BI dashboards

• Ensure accurate, complete, and timely regulatory fraud reporting in line with governance standards

• Integrate and harmonise data from PRM (Card Fraud), the Digital Banking Fraud Repository, and SAS Viya

• Implement data validation controls to ensure data quality and integrity across all fraud systems

• Collaborate with fraud detection teams, risk management, and business stakeholders to translate insights into action

• Identify opportunities to improve fraud data processes, reporting efficiency, and analytical capability

• Resolve data-related incidents through structured escalation and issue tracking

• Continuously enhance analytical frameworks and reporting methodologies

Qualifications

Education

• Essential: Diploma in Information Technology or a related field

• Preferred: Degree in Information Technology, Business Management, Mathematics, or Statistics

Certifications (Advantageous)

• DAMA or equivalent data management certification

Experience

• Minimum of 8 years’ relevant experience

• 3–5 years’ experience in data analysis or BI-focused roles

• Proven exposure to fraud data environments within financial services

Technical Skills & Tools

• Advanced SQL proficiency

• SSIS (SQL Server Integration Services)

• Power BI (essential for dashboard development and reporting)

• Base SAS (highly advantageous)

• Denodo (data virtualisation – advantageous)

• Strong ETL and data integration capabilities

Core Competencies

• Advanced analytical and problem-solving skills

• Strong fraud risk interpretation and trend analysis capability

• High attention to data accuracy and governance standards

• Effective communication and stakeholder engagement skills

• Ability to translate technical insights into business-relevant outcomes

Behavioural Competencies

• Quality orientation and attention to detail

• Strong work management and prioritisation skills

• Proactive initiative and ownership

• Clear, professional communication

• Coaching and knowledge-sharing mindset

CV Tips for This Role

• Emphasise Power BI dashboard development and real-world use cases

• Highlight experience with fraud data, regulatory reporting, or banking systems

• Demonstrate advanced SQL and ETL project experience

• Showcase stakeholder engagement and insight-driven decision support

Company Policy

Nedbank is committed to transformation and employment equity. Preference will be given to suitably qualified candidates from underrepresented groups in line with the bank’s diversity and inclusion objectives. Nedbank reserves the right not to make an appointment to the advertised position.