IDM Data Analyst needed at Nedbank

Job Purpose

• The IDM Data Analyst is responsible for gathering, interrogating, and packaging data to support strategic decision-making and operational efficiency within the Personal and Private Banking cluster. This backend-focused role requires a blend of technical expertise, business acumen, and creative problem-solving to deliver insights that go beyond standard reporting.

Job Responsibilities

• Build a strong understanding of existing products, processes, and stakeholders to contextualize data work.
• Translate business requirements into accurate, timely, and well-structured data outputs.
• Maintain and support existing data capabilities while responding to business-as-usual (BAU) requests.
• Contribute to the development and implementation of new data solutions that enhance business intelligence.
• Ensure data compliance by following metadata governance protocols and adhering to Nedbank’s data standards.
• Apply structured development life cycles and maintain code repositories in line with team and organizational standards.
• Participate in knowledge-sharing initiatives to promote collaboration and data literacy.
• Demonstrate Nedbank’s values in all interactions with team members and stakeholders.
• Pursue continuous learning and career development through training, feedback, and staying current with industry trends.

Essential Qualifications – NQF Level

• Diploma

Preferred Qualification

• Degree in Information Technology, Information Systems, Statistics, Data Science, Data Analytics, or a related field

Minimum Experience Level

• 3 years in a data analytics role
• Strong experience in querying, manipulating, and analyzing data using SQL to extract meaningful insights and support business decisions.
• Ability to design and build interactive dashboards and reports that effectively communicate data trends and performance metrics.
• Familiarity with using WebFOCUS or similar reporting platforms to develop and maintain enterprise-level reports and analytics.
• Skilled in structuring and organizing data to support scalable analytics solutions, including designing data models that align with business needs.
• A keen eye for detail and a commitment to data accuracy, with experience implementing quality checks and validation processes to ensure reliable outputs.

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