Data Analyst - Value Realisation

About

Description

The Data Analyst – Value Realisation plays a strategic role within the Group Data Analytics function at Nedbank. The role focuses on quantifying the business value of data initiatives, supporting data commercialisation, and ensuring alignment of data investments with Nedbank’s strategic goals. The analyst works across multiple business clusters to identify opportunities where data can drive measurable financial and operational outcomes. The role also supports the development of value frameworks, ROI models, and benefit realisation reporting, while mentoring junior analysts and contributing to the enterprise data strategy.

Responsibilities

• Quantify the financial and operational value of data initiatives across business clusters
• Develop and maintain value frameworks, ROI models, and dashboards to track data value metrics
• Perform detailed data analysis, data profiling, and advanced SQL queries to support business insights
• Build and present visualizations and executive summaries for stakeholders
• Identify data-driven opportunities that align with Nedbank’s strategic objectives
• Collaborate with cross-functional teams (e
• g
• , engineers, architects, modelers) to implement data solutions
• Ensure data analysis deliverables meet regulatory, quality, and compliance requirements
• Guide and mentor junior analysts; review their work and provide training where necessary
• Contribute to the development and implementation of Nedbank’s enterprise data value management strategy
• Execute data cleansing, validation, and provisioning enhancements to improve data usability
• Lead or participate in data quality checks, data governance initiatives, and compliance adherence

Qualifications

• Minimum Qualification: Advanced Diploma or National First Degree (NQF Level 6 or 7)
• Preferred Qualifications Bachelor's or Master’s degree in: Accountancy
• Actuarial Science
• Finance
• Economics
• Data Science
• Business Analytics
• Related disciplines
• Preferred Certifications: SQL, SAS Certification, Data Analysis and Data Modelling, Data Governance (DAMA), Cloud Certifications (Azure, AWS, GCP), Data Science Certification, Microsoft Power Tools (e
• g
• , Power BI), DevOps or Data Engineering Certification

Application instructions:

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