Data Analyst II; Data Analytics

Position: Data Analyst II (Data Analytics)
Job Title: Data Analyst II (Data Analytics)

Position Reports to: Manager:
Monitoring Analys & Measurement

Division:
Strategy Enablement & Modernisation

Location:
Head Office - Brooklyn

Advert Closing Date: 17 June 2026

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

Bachelor's Degree / Advanced Diploma (NQF
7) in Computer Science, Data Science, Information Systems AND 5-7 years' experience in Data Warehousing, Business Intelligence, Data Analytics, 2 - 3 years at a technically skilled level.

Alternative #

Senior Certificate (NQF
4) AND 10 years related experience in in Data Warehousing, Business Intelligence, Data Analytics, 2 - 3 years at a technically skilled level.

Minimum Functional Requirements

• Experience in Data Engineering / Business Intelligence / Data Science
• Intermediate (practical application) technical expertise regarding data processes, data cleaning, data analysis, reporting, data models, and database design and testing.
• Intermediate knowledge and experience with reporting packages (SSRS, SSAS and Power BI), databases (SQL etc.), programming (SQL, Python, etc.)
• Intermediate knowledge in designing and maintaining relational and dimensional data models within a SQL server and Fabric.
• Experience in optimizing data ingestion and processing performance, ensuring efficient handling of large datasets.
• Experience in migration and modernization of data pipelines from on-prem to Fabric.
• Be proficient in the application of:
• Basic Data Migration
• Basic Data Visualization
• Business Intelligence Methodologies
• Database Knowledge
• Understanding of data governance, data quality, and master data management (MDM) principles across the information lifecycle.

Job Outputs:

Process

• Communicate the results of their analysis and findings by using medium to complex 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.
• Perform intermediate business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modelling, data mining.
• 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.
• Research best practices and support the development of the solutions and recommendations for the current business operations.
• Acquire data from primary or secondary data sources and maintaining 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, analyse and interpret trends and patterns in medium to complex data sets, based on data findings.

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…