Job Purpose

• This role requires supporting revenue analysts in identifying, assessing, and mitigating risks through the gathering of data, conducting data analysis, developing deliverables (written, spreadsheet, presentation) and meeting time-sensitive goals through utilisation of AI and other data-extracting technologies within the Revenue Management and Compliance Division. 

Minimum Qualification & Experience Required

Education and Experience

• National Diploma / Advanced Certificate (NQF 6) in Auditing, Data Science, Accounting, Finance and AI; AND 2 – 3 years’ relevant and demonstrated experience in an Auditing, Data Analytics, Accounting, Finance, or Commerce environment, of which at least 1 – 2 years must be at a knowledge worker level. Articles in an auditing environment with experience in computer auditing will be an added advantage.
• Demonstrated, sound knowledge and interpretation of the PFMA;
• At least 2-3 years experience on the application of data extraction technologies and AI on complex data sets across a number of dimensions, including high numerical and analytical skills;
• At least 2-3 years Proficient or Advanced working experience on Microsoft Excel, Word and Power Point;
• Good Report Writing & Presentation skills; and
• Good knowledge & experience in problem solving, interpersonal and communication.

Alternative #

• Senior Certificate (NQF 4) AND 5 years’ relevant and demonstrated experience in a Auditing, Data Analytics, Accounting, Finance, or Commerce environment, of which at least 1 – 2 years at a knowledge worker level. Articles in an auditing environment with experience in computer auditing will be an added advantage.
• Good sound knowledge and application of PFMA;
• At least 2-3 years Proficient or Advanced working experience on Microsoft Excel, Word and Power Point;
• Working experience on the application of data extraction technologies and AI on complex data sets across a number of dimensions, including high numerical and analytical skills;
• Good Report Writing & Presentation skills; and
• Good knowledge & experience in problem solving, interpersonal and communication.

Job Outputs:

Process

• Accumulate information that provides input to reporting, decision-making and the identification of improvement opportunities.
• To conduct trend analysis and verification audits—execute an analysis of baseline data versus current data and make recommendations to the revenue analyst.
• To liaise across other business disciplines to ensure accurate integrated data with a focus on quality and time dimensions.
• To ensure that relevant data is secured and that confidential information is protected from unauthorised users.
• Effectively plan and schedule own to continuously improve quality and timeous service delivery.
• Identify and resolve queries and problems timeously; apply discretion in line with process guidelines provided.
• Collect and collate compliance revenue-related data, analyse information and provide reports and recommendations.
• Be observant and engage on possible violations of procedures and standards of conduct and escalate where necessary.

Governance

• Comply to set governance and compliance procedures and processes related to an area of specialisation and continuously identify and escalate risks.
• Ensure that completed work adheres to relevant policies, procedures, governance and legislative requirements and report on deviations and discrepancies.

People

• Develop and maintain productive working relationships with peers and team members to achieve predefined objectives.

Finance

• Adhere to organisational policies and procedures to ensure cost-effectiveness and reduction of financial costs.

Client

• Contribute to a culture of service excellence, which builds positive relationships and provides opportunity for feedback and exceptional service.
• Ensure your own understanding and adherence to customer service delivery and provide specialist support to meet or exceed customer expectations.

Behavioural competencies

• Organisational Awareness
• Analytical Thinking
• Commitment to Continuous Learning
• Fairness and Transparency
• Honesty and Integrity
• Accountability
• Attention to Detail
• Conceptual Ability
• Expertise in Context
• Respect 
• Trust 

Technical competencies

• Business Knowledge
• Data Analysis
• Data Collection and Analysis
• Data Management
• Efficiency improvement
• Functional Policies and Procedures
• Reporting