Data Analyst II- SMME Segment needed at The South African Revenue Service

Job Purpose

• The Data Analyst will play a critical role in transforming raw data into actionable insights that support strategic decision-making. This position requires strong analytical skills, attention to detail, and the ability to work collaboratively across teams to deliver high-quality data solutions

Education and Experience

Minimum Qualification & Experience Required

• Relevant bachelor’s degree / Advanced Diploma: Data Science / Statistics / Economics / Information Systems / Computer Science/ Mathematics/ Business Information Systems AND 5-7 years’ experience in Data Engineering / Business Data Intelligence / Data Science/ Data Analytics, of which 2-3 years ideally at functional specialist level.                                                                                                     OR
• Senior Certificate (NQF 4) AND 10 years of experience in Data Engineering / Business Data Intelligence / Data Science/ Data Analytics, of which 2-3 years ideally at functional specialist level.

Minimum Functional Requirements

Technical Skills:

• Proficiency in SQL and data visualization tools (Power BI).
• Familiarity with advanced Excel functions.
• Strong problem-solving and communication skills.

Competencies:

• Analytical thinking and problem-solving.
• Attention to detail and ability to work under pressure.
• Strong communication and stakeholder engagement skills.

Preferred Attributes

• Experience in risk modelling for Domestic taxes.
• Understanding of SMME Sector

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.
• Undertake information gathering, research and analyse data within broad guidelines to produce accurate plans & or recommendations for business issues.
• 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.
• Constantly monitor the integrity and quality of data and processes to identify deficiencies and facilitate improvement.
• Communicate the results of their analysis and findings by using medium to complex data visualisation techniques.
• 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.
• Support ad hoc data requests and contribute to ongoing process improvements.

Governance

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

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

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