Data Analyst I at The South African Revenue Service (SARS)

Job Purpose

• To execute the development of Data Analytics solutions through understanding of business requirements and to be responsible for basic data processing within the organisation, including fulfilling the functions of data cleaning and analyses, reporting and data file set up and testing.

Education and Experience

• National Diploma / Advanced Certificate (NQF 6) in Data Analytics, Data Engineering, Data Science or Statistics with 2 - 3 years’ experience in a Data Analysis environment, of which 1 - 2 years at knowledge worker level.

Alternative #

• Senior Certificate (NQF 4) and 5 years related experience in a Data Analysis environment, of which 1 - 2 years at knowledge worker level.

Minimum Functional Requirements:

• Basic 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), programming (SQL, R, Python, etc.).
• Basic Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS, R etc.).
• Basic Data warehouse knowledge, Be proficient in the application of:
• Basic Data Migration, Basic Data Visualization, Business Intelligence Methodologies, Database Knowledge, Basic Programming Skills i.e. SQL, and/or Python, R, etc., Microsoft skills (Proficient in) i.e. Excel, Word, PowerPoint, etc.

Job Outputs:

Process

• Accumulate information and provide reports with recommendations applicable to area of specialisation.
• 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.
• Effectively plan and schedule own activities to continuously improve quality and service delivery in area of specialisation.
• Execute process and procedural change, implement the change and provide guidelines and support related to new requirements because of the change.
• Provide specialist input through the investigation of opportunities for operational and process, product and risk optimisation.
• Assist in the filtering and 'cleaning' of imported data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
• Ensure the availability of existing data analytics solutions (like reports, etc.) by maintaining them as well as improving them where shortcomings exist.
• Use practical and applied knowledge and situational judgement to arrive at decisions.
• Communicate the results of their analysis and findings by using basic data visualisation techniques with both internal and external customers.
• Acquire data from primary or secondary data sources and maintaining databases, applying the knowledge of data extraction, transformation and business modelling.
• Perform routine business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modelling, data mining.
• Design, develop and test basic data analytics solutions like Reports, Dashboards, Analysis, Extracts, Models, etc.
• Identify, analyse and interpret trends and patterns in basic data sets, based on data findings.
• Research best practices and support the development of the solutions and recommendations for the current business operations.

Governance

• Comply to set governance and compliance procedures and processes related to an area of specialisation and continuously identify and escalate risks.

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.
• Adhere to specified polices, standards, legislation and procedures to prevent wastage on resources, unauthorised expenditure and wasteful expenditure and report violations.

Client

• Contribute to a culture of service excellence, which builds positive relationships and provides opportunity for feedback and exceptional service.
• Ensure own understanding and adherence to customer service delivery and provide specialist support to meet or exceed customer expectations

Behavioural competencies

• Accountability
• Adaptability
• Attention to detail
• Analytical Thinking
• Commitment to Continuous Learning
• Conceptual Thinking
• Expertise in Context
• Fairness and Transparency
• Honesty and Integrity
• Organisational Awareness
• Respect
• Trust

Technical competencies

• Business Knowledge
• Data Collection and Analysis
• Data Management
• Data Design and Management
• Efficiency Improvement
• Functional Policies and Procedures
• Reporting
• Statistical and Mathematics Analysis
• Technical Expertise