Data Analyst II (Data Analytics) at The South African Revenue Service (SARS)

Job Purpose

• To design, build, and optimise systems for data collection, storage, and analytics to make data available, accessible, and secure to stakeholders.

Education and Experience

Minimum Qualification & Experience Required 

• Relevant Bachelor's Degree/Advanced Diploma (NQF 7) in Data Science, Computer Science, Information Technology, Mathematics, Statistics, or a related field AND 5-7 years' experience in a data analysis environment, of which 2-3 years at a technically skilled level.

Alternative 

• Senior Certificate (NQF 4) AND 10 years in a data analysis environment, of which 2-3 years at a technically skilled level.

Minimum Functional Requirements

• Experience in Data Engineering/Business Data Intelligence/Data Science
• Intermediate (practical application) technical expertise regarding data processes, data cleaning, analysis, reporting, data models, and database design and testing
• Intermediate knowledge of and experience with reporting packages (SQL or equivalent, etc.), databases (SQL, etc.), and programming (SQL, R, Python, etc.)
• Basic knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS, R, etc.)
• Intermediate (practical application) Data warehouse knowledge
• Be proficient in the application of:
• Basic Data Migration
• Basic Data Visualisation 
• Business Intelligence Methodologies
• Database Knowledge
• Intermediate (practical application) Programming Skills – i.e., SQL and/or Python, R, etc.
• Microsoft skills (Proficient in) – i.e., Excel, Word, PowerPoint, etc.

Job Outputs:

Process

• Accumulate information to report on work progress and use it for decision-making purposes 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.
• Correctly apply policies, practices, standards, procedures, and legislation in the delivery of work outputs.
• Draw on your own knowledge and experience to diagnose symptoms, causes, and possible effects in order to solve emerging problems.
• Initiate process and procedural change, implement the change, and provide guidelines and support related to new requirements as a result of the change.
• Plan for value-added process improvements, initiatives, and services to deliver on operational strategy and objectives.
• Execute specialist input through investigation and opportunities within the product process, including risk concerns.
• Provide specialist input through the investigation of opportunities for operational and process, product, and risk optimisation.
• To acquire data from primary or secondary data sources and maintain databases, apply the knowledge of data extraction, transformation, and business modeling.
• Ensure the availability of existing data analytics solutions (like reports, etc.) by maintaining them as well as improving them where shortcomings exist.
• Assist in the filtering and 'cleaning' of imported data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
• Perform intermediate business analysis using various techniques, e.g., statistical analysis, explanatory and predictive modeling, and data mining.
• Design, develop and test medium- to complex-data analytics solutions like Reports, Dashboards, Analyses, Extracts, Models, etc.
• Identify, analyse and interpret trends and patterns in medium to complex data sets, based on data findings.
• Communicate the results of their analysis and findings by using medium- to complex-data visualisation techniques with both internal and external customers.
• Research best practices and support the development of the solutions and recommendations for the current business operations.

Governance

• Ensure that completed work adheres to relevant policies, procedures, governance and legislative requirements and report on deviations and discrepancies.
• Implement and provide input into the development of governance, compliance, integrity and ethics processes within area of specialisation.

People

• Develop and maintain productive working relationships with peers and team members to achieve predefined objectives.
• Search for, integrate and share new knowledge attained through formal and informal learning opportunities in the execution of your job.

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.
• Provide authoritative, specialist services, expertise and advice to internal and external stakeholders.

Behavioural Competencies

• Accountability
• Analytical thinking
• Attention to detail
• Commitment to Continuous Learning 
• Conceptual Ability 
• Fairness and Transparency
• Problem Solving and Analysis 
• Respect
• Trust

Technical Competencies

• Efficiency Improvement
• Information management
• Reporting
• Functional Policies and Procedures 
• Business Knowledge 
• Activity-Based Management

Deadline:9th July,2025