Fresh Jobs at 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

go to method of application »

Job Purpose

• To ensure effective management of the information life cycle or value chain that includes the identification, analysis and development of information assets and the assessment of business information needs.

Education and Experience

Minimum Qualification & Experience Required 

• Relevant Bachelor's Degree / Advanced Diploma (NQF 7) in Geographic Information Systems (GIS), Geoinformatics, Geomatics, Geography, Computer Science or a related field with strong geospatial component AND 5-7 years' experience in a GIS, geospatial analytics, or spatial data environment, of which 2 - 3 years at a technically skilled level

Alternative #

• Senior Certificate (NQF 4) AND 10 years related GIS experience, including spatial analytics, mapping operations or spatial data management, of which 2 - 3 years at a technically skilled level.

Minimum Functional Requirements

• Practical experience with GIS tools and platforms (e.g. Elasticearch, ESRI ArcGIS, QGIS, PostGIS, GeoServer, etc)
• Ability to write and maintain Python scripts for spatial processing (e.g. Geoserver, GeoPandas, Shapely, ESRI stack, etc).
• Basic to intermediate experience with C#/.NET to understand and support custom GIS backend components.
• Familiarity with web technologies (HTML, CSS, JavaScript) to support UI behaviour, map rendering and integrations.
• Hands-on experience with geocoding, coordinate systems, projections and spatial data transformations.
• Ability to work with large geospatial datasets, spatial ETL, indexing, optimisation and map layer generation.
• Experience publishing or consuming REST APIs used in the SmartGIS platform and related services.
• Ability to produce map visualisations, analytical layers and spatial dashboards for business use. Familiarity with web mapping frameworks (Leaflet, ESRI JS, Mapbox) is advantageous.
• Understanding of spatial data governance, data quality, metadata and geospatial standards.

Job Outputs:

Process

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

Governance

• Ensure that completed work adhere 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
• Building Sustainability 
• Commitment to Continuous Learning 
• Conceptual Ability 
• Expertise in Context
• Fairness and Transparency
• Honesty and Integrity
• Organisational Awareness
• Problem Solving and Analysis 
• Respect
• Trust

Technical Competencies

• Information management 
• Computer Literacy 
• Functional Policies and Procedures 
• Statistical and Mathematical Analysis Proficiency
• Business Knowledge 
• Technical Expertise
• Database Design and Management
• Data Management
• Data Collection and Analysis  
• Data Analytics
• Reporting
   

go to method of application »

Job Purpose 

• To ensure effective management of the information life cycle or value chain that includes the identification, analysis and development of information assets and the assessment of business information needs.

Education and Experience

Minimum Qualification & Experience Required 

• Relevant Bachelor's Degree / Advanced Diploma (NQF 7) in Computer Science, Information Systems, Data Science, Statistics, Mathematics, or a related quantitative/technical field AND 5-7 years' experience in a similar or related data analytics, master data, data matching or entity-resolution environment,  of which 2 - 3 years at a technically skilled level.

Alternative #

• Senior Certificate (NQF 4) AND 10 years related experience in a similar or data software development, data analytics or master data operations environment, of which 2 - 3 years at a technically skilled level.

Minimum Functional Requirements

• Experience in Software Development/ Data Engineering / Business Data Intelligence.
• Strong coding ability in SQL and Python for data processing, automation, quality, matching logic and analysis.
• Ability to understand and work with C#/.NET components used in various data integration ecosystem and supporting services. Working knowledge with web technologies (HTML, CSS, JavaScript) to interpret UI behaviour and troubleshoot data flow. Experience with REST API integrations, including debugging and validating API-driven data submissions. Practical experience working with large datasets, relational structures, and optimised data pipelines.
• Exposure to or understanding of fuzzy matching, phonetic algorithms, scoring logic and entity-resolution techniques. Experience with ETL/ELT processes involving multiple internal and external data sources.
• Ability to manage and analyse structured & semi-structured data (CSV, JSON, XML).
• Ability to identify anomalies, duplicates, linkages and inconsistencies across national datasets.
• Understanding of data governance and master data management principles across the information lifecycle.

Job Outputs:

Process

• Communicate the results of their analysis and findings by using medium-to-complete data visualisation techniques with both internal and external customers.
• Execute specialist input through investigation and opportunities within the product process including risk concern.
• Design, develop and test medium to complex data analytics solutions like Reports, Dashboards, Analysis, Extracts, Models, etc.
• Ensure the availability of existing data analytics solutions (like reports, etc.) by maintaining them as well as improving them where shortcomings exist.
• Acquire data from primary or secondary data sources and maintain databases, applying the knowledge of data extraction, transformation, matching and business modelling.
• Assist in the filtering and cleaning of imported data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
• Identify, analyze and interpret trends and patterns in medium to complex data sets, based on data findings
• Perform intermediate business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modelling, data mining.
• Research best practices and supports developing the solutions and recommendations for the current business operations.
• 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 judgement of work outputs and queries in area of specialisation.
• Correctly apply policies, practices, standards, procedures and legislation in the delivery of work outputs. (I)
• Draw on 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.
• Provide specialist input through the investigation of opportunities for operational and process, product and risk optimisation.

Governance

• Ensure that completed work adhere 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
• Building Sustainability 
• Commitment to Continuous Learning 
• Conceptual Ability 
• Expertise in Context
• Fairness and Transparency
• Honesty and Integrity
• Organisational Awareness
• Problem Solving and Analysis 
• Respect
• Trust

Technical Competencies

• Information management 
• Computer Literacy 
• Functional Policies and Procedures 
• Statistical and Mathematical Analysis Proficiency
• Business Knowledge 
• Technical Expertise
• Database Design and Management
• Data Management
• Data Collection and Analysis  
• Data Analytics
• Reporting