The South African Revenue Service (SARS)
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
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