Job Description

Job Title: Data Analytics Level II (X2)
Position Reports to: Specialist: Data Analytics
Division: National Operations Command
Location: Pretoria (Brooklyn)
Advert Closing Date: 27 June 2025
About the Position
We are committed to harnessing the power of data to drive innovation and deliver exceptional results. If you are passionate about data, cloud technologies, and creating impactful visualisations, we want you on our team.
You will utilise your expertise in data analytics to analyse complex datasets, develop and maintain Power BI dashboards, and collaborate with cross-functional teams to understand data needs and deliver solutions.
We are looking for someone with proven experience in data analytics and data engineering, proficiency in Power BI, strong SQL skills, and excellent problem-solving abilities. As a team player with strong communication skills, you will thrive in our dynamic and innovative environment.
Join us to work on exciting projects, enjoy a competitive salary and benefits package, and take advantage of continuous learning and professional development opportunities. If you're ready to take your career to the next level and make a difference with your data skills, apply now.
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
Bachelor's Degree/Advanced Diploma (NQF 7) in Data Analytics/Informatics/Computer Science/Information Technology or Science or similar with 5-7 years' experience in a data analysis/data engineering environment, of which 2 - 3 years at a technically skilled level.
Alternative #
Senior Certificate (NQF 4) with 10 years' experience in a data analysis/data engineering environment, of which 3-4 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
• Knowledge of and experience with reporting packages (SQL or equivalent, etc.), databases (SQL, etc.), and programming (SQL, R, Python, etc.)
• Intermediate (practical application) 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 Visualization
• 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, Power BI, 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 judgement 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 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 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 ensure the availability of existing data analytics solutions (like reports, etc.) by maintaining them as well as improving them where shortcomings exist.
• To assist in the filtering and 'cleaning' of imported data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
• To perform intermediate business analysis using various techniques, e.g., statistical analysis, explanatory and predictive modelling, and data mining.
• To design, develop and test medium to complex data analytics solutions like Reports, Dashboards, Analysis, Extracts, Models, etc.
• To 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.
• To 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 the area of specialisation.

People

• Ensure that completed work adheres to relevant policies, procedures, governance, and legislative requirements, and report on deviations and discrepancies.

Client

• Contribute to a culture of service excellence, which builds positive relationships and provides opportunity for feedback and exceptional service. (I)
• 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
• Honesty and Integrity
• Fairness and Transparency
• Organisational Awareness
• Problem Solving and Analysis
• Respect
• Trust

Technical competencies

• Business Knowledge
• Data Analysis
• Data Collection & Analysis
• Data Management
• Database Design and Management
• Efficiency Improvement
• Functional Policies and Procedures
• Information Management
• Knowledge Management
• Reporting
• Statistical and Mathematical Analysis
• Reporting

Compliance Competency

• GOC Confidential

Employment Equity
The Employment Equity policy of SARS will be considered as part of the recruitment and selection process, and persons with disabilities are encouraged to apply. Successful candidates will be required to undertake an oath of secrecy, pre-employment screening, a case study, a pre-assessment, a psychometric assessment and/or vetting, and a declaration of private interest. The appointment is also subject to appropriate reference(s) and security clearance where applicable.