Jobs

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

  • Job Type Full Time
  • Qualification Bachelors , Higher National Certificate , Matric
  • Experience 5 – 10 years
  • Location Western Cape
  • Job Field Data, Business Analysis and AI&nbsp , ICT / Computer&nbsp

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

Data Analyst II (Data Analytics)

About the Position

  • The purpose of the Data Analyst II role at SARS is to design, develop and manage data infrastructure and pipelines to enable SARS to collect, store, integrate and analyse large amounts of data efficiently and reliably. This involves managing the information life cycle, identifying and analysing information assets, and assessing business information needs to support decision-making and enhance service offerings.

Job Purpose

  • To design, build, and optimize systems for data collection, storage and analytics in order 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 Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field AND 5-7 years’ experience in a similar or related Data Analytics environment, of which 2-3 years at functional specialist level.

ALTERNATE:

  • Senior Certificate (NQF 4) AND 10 years related experience in a similar or related Data Analytics environment, of which 2-3 years at functional specialist level.

Minimum Functional Requirements

  • Demonstrated experience in Data Engineering, Advanced Analytics, Business Intelligence, and applied GIS solutions.
  • Solid practical expertise in data pipelines, data cleaning and transformation, statistical analysis, and automation of reporting processes.
  • Intermediate to advanced proficiency(non-negotiable) with:
  • Advanced SQL (T-SQL or equivalent)
  • Python or R
  • SSIS, SSAS & Power BI
  • Advanced C#
  • Web tech (JavaScript, HTML)
  • GIS tools and libraries (e.g. QGIS, ArcGIS, PostGIS, GeoServer, Leaflet, or related APIs)
  • Strong grasp of data warehouse architecture and dimensional modelling.
  • Hands-on application of: Data Migration, Data Visualization, Business Intelligence Methodologies, Database Design & Optimization
  • Ability to work with large, complex datasets across multiple platforms, and integrate structured/unstructured data sources.
  • Proficiency in Microsoft tools: Excel, Word, PowerPoint, etc.
  • Advantageous: Experience working with government data systems, data integration and matching solutions, spatial data workflows, or cross-departmental transformation initiatives.

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 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 in order 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.
  • Execute specialist input through investigation &opportunities within the product process including risk concern.
  • Provide specialist input through the investigation of opportunities for operational and process product and risk optimisation.
  • To acquiring data from primary or secondary data sources and maintaining databases, applying the knowledge of data extraction, transformation and business modelling.
  • To perform “intermediate” business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modelling, data mining.
  • To design, develop and test medium to complex data analytics solutions like Reports, Dashboards, Analysis, Extracts, Models, etc.
  • To identify, analyses 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.
  • To ensure the availability of existing data analytics solutions (like reports, etc.) by maintaining them as well as improving them where shortcomings exist.
  • To research best practices and supports developing the solutions and recommendations for the current business operations
  • To assist in the filtering and “cleaning” of imported data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.

Governance

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

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
  • Fairness and Transparency
  • 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
  • Capacity Management
  • Data Analytics
  • Reporting

Deadline:7th July,2025

Method of Application

Interested and qualified? Go to The South African Revenue Service (SARS) on career2.successfactors.eu to apply

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