Senior Auditor Manager Data and Analytics

2 weeks ago


Brackenfell, South Africa Shoprite Group Full time

Closing Date
2024/04/25
- Reference Number
SHO240417-2
- Job Title
Senior Auditor Manager Data and Analytics
- Job Type
Permanent
- Location - Country
South Africa
- Location - Province
Western Cape
- Location - Town or City
Brackenfell, Cape Town
- Purpose of the Job

The purpose of the Senior Audit Manager - Data and Analytics is to assist the Group Internal Audit Executive in developing the Group Internal Audit (GIA) data analytics strategy in line with the Shoprite Group’s strategy, top risks and business initiatives, thereby providing reasonable assurance to stakeholders that key risks are being mitigated through adequate and effective management controls in accordance with Group Internal Audit (GIA) methodology;
- To determine and implement the best and suitable analytics tools and programs for the GIA function while leveraging-off existing tools in the business, where applicable.
- To inculcate a stakeholder model to collaborate with stakeholders to deepen understanding of business, its risks and formulate an adequate audit response
- To improve the overall data analytics utilisation in internal audit projects.
- To continually improve data analytics skills in the GIA function and promote continuous learning/development.
- To entrench governance and compliance (in GIA) with enterprise data management frameworks and policies such as data quality, security and governance of the entire data platform.
- Job Advert Details
- Job Category
Finance
- Job Objectives
- Collaborate with the Group Internal Audit Executive in formulating and implementing the GIA data analytics strategy aligned with the
- Shoprite Group’s overarching strategy, key risks, and business initiatives.
- Develop and maintain a robust audit methodology for Data Analytics.
- Align the data analytics strategy with the Shoprite Group’s overarching strategy, key risks, and business initiatives.
- Develop and execute the Annual Audit Plan, specifically the Data Analytics Audit plan approved by the Audit and Risk Committee.
- Assess data quality to understand potential of data sources, limitations, or issues.
- Establish and enforce governance frameworks, policies, and procedures to ensure data quality, security, and compliance with regulatory requirements.
- Monitor and audit data management practices, data access, and data usage to identify risks, vulnerabilities, and areas for improvement.
- Develop and maintain a robust audit methodology for data analytics, including audit planning, execution, and reporting.
- Conduct regular reviews and assessments of audit documents, workpapers, and reports to ensure relevance, accuracy, and quality of deliverables.
- Develop and maintain data analytics scripts and tests.
- Manage end-to-end audit reviews using the Agile approach including determining the audit scope, objectives, and approach of internal audit deliverables.
- Detailed review of audit documents - audit program, planning, workpapers and audit reports to ensure relevance, precision, and quality of deliverables.
- Build a cluster-based infrastructure for optimal extraction, transformation and loading of data from various data source.
- Identify and design data pipeline with greater scalability, optimised data delivery to analytical tools.
- Implement re-usable utility functions that can be used in data pipeline stages.
- Develop strategic solutions to aggregate, analyse and visualise data using a variety of technologies.
- Manage performance and development of direct reports to reach business goals effectively; and
- Develop and maintain relationships with business and key stakeholders to ensure robustness and completeness of audit coverage and contribute at an insight generator/trusted advisor to business to enhance assurance provided of the control environment.
- Collaborate with stakeholders to gather insights, identify opportunities, and address challenges related to data analytics and internal audit.
- Champion the adoption of data analytics within the GIA function and across the organization to foster a data-driven culture.
- Qualifications
- Minimum of a Bachelor’s Degree in Data Science, Statistics, Computer Science, Finance or a related field
- Experience
- +7 years experience in data analytics, data mining, and visualisation techniques - and at least 3 years spent in a Senior Manager role
- Proficiency in programming languages such as ACL, Arbutus, Python, R, or SQL
- Strong understanding of statistical methods and analytical tools
- Knowledge and Skills

Analysing - Analyses numerical data and all other sources of information, to break them into component parts, patterns, and relationships; probes for further information or greater understanding of a problem; makes rational judgements from the available information and analysis; demonstrates an understanding of how one issue may be a part of a much larger system.

Communication Skill - Communicates effectively through well-structured, clear, and concise writing, avoiding u



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