Location :Johannesburg
Job Family
Risk, Audit and Compliance
Career Stream
Auditing
Leadership Pipeline
Manage Self: Professional
FAIS Affected
Job Purpose
The Internal Audit: Data Enablement Analyst leverages data expertise and digital technologies to support (GIA) Group Internal Audit's Digital Strategy and strategic objectives. This role delivers fit-for-purpose data products, drives data initiatives, and enhances the GIA's data infrastructure to enable advanced analytics, machine learning, and AI--ensuring clean, usable data is available to GIA stakeholders.
Job Responsibilities
Develop fit-for-purpose digital products to support audit execution and digital assurance.
Enhance data infrastructure to enable advanced analytics, machine learning, and AI.
Implement processes to validate and prepare clean, usable data for Group Internal Audit (GIA) stakeholders.
Drive procedures that ensure data quality and governance in line with enterprise frameworks and standards.
Facilitate training and capability building in data tools and analytics across GIA.
Collaborate with audit teams and data owners to align on data needs and solutions.
Maintain and improve analytics toolsets, coding standards, and automation scripts.
Identify and mitigate data-related risks, ensuring compliance with regulations.
Contribute to internal/external information sharing sessions by attending formal and informal meetings.
Align and continuously improve set processes by identifying innovation opportunities.
Understand and embrace the Nedbank vision and demonstrate the values through interaction with team and stakeholders.
Improve personal capability and stay abreast of developments in field of expertise by identifying training courses and career progression for self through input and feedback from managers.
Ensure personal growth and enable effectiveness in performance of roles and responsibilities by ensuring all learning activities are completed, experience practiced and certifications obtained and/or maintained within specified time frames.
Essential Qualifications - NQF Level
Relevant Degree/ Diploma/ Equivalent
Minimum Experience Level 1-2 years relevant experience in data analytics
Technical / Professional Knowledge Data Science
Data analysis
Data Engineering
Data Modelling
Data Governance
Banking knowledge
Microsoft Office
Relevant regulatory knowledge
Relevant software and systems knowledge
Business writing skills
Behavioural Competencies Applied Learning
Collaborating
Decision Making
Work Standards
Managing Work
Technical/Professional Knowledge and Skills
Disclaimer
Preference Recruiting Team at +27 860 555 566will be given to candidates from the underrepresented groups
Please contact the Nedbank.
- Please contact the Nedbank Recruiting Team at +27 860 555 566
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