Specialist: Data Analytics at The South African Revenue Service (SARS)

 Job Purpose

• To analyse and provide expert advice on the revenue analysis function to achieve business objectives.

Education and Experience

Minimum Qualification & Experience Required 

• Relevant Bachelor’s Degree/Advanced Diploma (NQF 7) in Data Analytics or similar with 8-10 years’ experience in a Data Analysis/Data Engineering/Business Data Intelligence environment, of which 3-4 years at a junior specialist level.

Alternative 

• Senior Certificate (NQF 4) with 15 years' experience in a Data Analysis/Data Engineering/Business Data Intelligence Environment, of which 3-4 years at a junior specialist level.

Job Outputs:

Process

• Accumulate information to review work progress that provides input to reporting, decision-making, and the identification of improvement opportunities.
• Apply practical and applied knowledge and act authoritatively on methods, systems, and procedures to identify trends and potential risks.
• Communication of situational interpretation and judgment of work outputs and queries in the area of specialisation.
• Initiate process and procedural change, implement the change, and provide guidelines and support related to new requirements because of the change.
• Note potential problems and obstacles, accumulate supporting data, and initiate actions to prevent or overcome predicted problems as may be identified.
• Research and support workable recommendations/solutions that meet business needs through information analysis.
• To perform complex/advanced business analysis using various techniques, e.g., statistical analysis, explanatory and predictive modeling, and data mining.
• To design, develop, and test complex/advanced data analytics solutions like Reports, Dashboards, Analysis, Extracts, Models, etc.
• To assist in the filtering and “cleaning” of imported data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
• Conducts analysis, summarizes key findings and trends, and produces data sheets, graphics, and presentations.
• Works with research analysts to plan, create, and distribute surveys
• Analyses data, creates summary reporting, and performs analysis to support the decision-making of research, senior management, member companies, and internal departments.
• Builds and manages/maintains a database to house data collected from various sources.

Governance

• Develop and/or align governance and compliance policies for own practice areas to identify and manage risk exposure liability.

People

• Integrate new knowledge and transfer skills attained through formal and informal learning opportunities in the execution of your job.
• Provide specialist know-how, support, advice, and practice thought leadership in the area of expertise.

Finance

• Implement and monitor financial control, management of costs, and corporate governance in the area of specialisation.

Client

• Participate in the specialist practice community and contribute positively to organisation knowledge management.
• Provide authoritative, specialist expertise and advice to internal and external stakeholders.

Behavioural competencies

• Accountability
• Adaptability
• Analytical Thinking
• Attention to Detail
• Commitment to continuous learning
• Honesty and Integrity
• Fairness and Transparency
• Organisational Awareness
• Problem Solving and Analysis
• Respect
• Trust

Technical competencies

• Business Knowledge
• Data Collection and Analysis
• Data Integrity
• Efficiency Improvement
• Functional Policies and Procedures
• Information Management
• Knowledge Management
• Reporting
• Statistical and Mathematical Analysis
• Planning and Organising
• Reporting
• System Thinking