Data Analyst II (Data Analytics) (X4) (10592) at The South African Revenue Service (SARS)

Job Purpose

• To plan and execute the development of data-driven solutions through understanding of business requirements and be responsible for data extraction, analysis, and reporting within the organisation, including fulfilling the functions of advanced analytics.

Education and Experience

Minimum Qualification & Experience Required 

• Bachelor’s Degree / Advanced Diploma (NQF 7) in Statistics/Mathematical Sciences, Computer Sciences/Information Technology/Data Science/Economics with 5-7 years’ experience in a data analytics/data science/mathematical sciences/research environment, of which 2-3 years are at a technically skilled level. Knowledge of tax products will be an added advantage.

Alternative #

• Senior Certificate (NQF 4) with 10 years of related experience in a data analytics/data science/mathematical sciences/research environment/economics, of which 2 – 3 years at a technically skilled level. Knowledge of tax products will be an added advantage.

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 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 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 acquire data from primary or secondary data sources and maintain 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, 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 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

• 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

• 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
• Expertise in Context
• Fairness and Transparency
• Honesty and Integrity
• Organisational Awareness
• Problem Solving and Analysis
• Respect
• Trust

Technical Competencies

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