Specialist: Data Analytics

Company: South African Revenue Service (SARS)

Location: Pretoria, Gauteng

Job Type: Full Time

Experience: 8 – 15 years

Fields: Data, Business Analysis and AI; ICT / Computer

Job Purpose

To analyze data and provide expert advice on revenue analysis to help achieve business goals.

Minimum Qualifications and Experience

Education and Experience

• Bachelor’s Degree or Advanced Diploma (NQF 7) in Data Analytics, Data Engineering, Data Science, or Statistics, plus 8-10 years in a data analysis role, including 3-4 years at junior specialist level.

Alternative

• Senior Certificate (NQF 4) plus 15 years in Data Analytics, Data Engineering, Data Science, or Statistics, including 3-4 years at junior specialist level.

Minimum Functional Requirements

• Intermediate knowledge of data warehouses.
• Intermediate programming skills, such as SQL, Python, or R.
• Proficiency in basic data migration tools like SSIS.
• Basic data visualization using Microsoft Power BI and Microsoft Fabric.
• Knowledge of Business Intelligence methodologies.
• Database knowledge.
• Microsoft Office skills (Excel, Word, PowerPoint) at proficient level.

Key Responsibilities

Process

• Gather data from various sources and maintain databases, using skills in extraction, transformation, and modeling.
• Monitor data quality and processes to spot issues and suggest improvements.
• Advise on resource planning and development in your area of expertise.
• Develop practices aligned with organizational goals and implement them effectively.
• Use your expertise to recommend solutions for risks and problems.
• Integrate business information, analyze it, and create reports for better decisions.
• Maintain and optimize data analytics tools like reports, dashboards, and data marts.
• Implement strategies to improve processes and systems.
• Plan for ongoing improvements to achieve operational excellence.
• Identify problems, assess impacts, and develop practical solutions.
• Recommend and implement changes for better processes and innovation.
• Design, develop, and test advanced data analytics solutions such as reports, dashboards, and models.
• Research and provide recommendations based on data analysis to meet business needs.
• Communicate findings and insights clearly.
• Perform advanced business analysis using techniques like statistical analysis, modeling, and data mining.
• Assist in cleaning and filtering data by reviewing reports and indicators.
• Analyze data, summarize findings, and create visuals and presentations.
• Support decision-making with analysis and reporting for management and teams.

Governance

• Develop or align policies for governance and compliance in your practice area to manage risks.

People

• Apply new knowledge from learning opportunities in your role.
• Provide expert advice and leadership in your field.

Finance

• Monitor costs and ensure financial controls and governance in your area.

Client

• Build practices that deliver excellent service to stakeholders.
• Contribute to organizational knowledge sharing.
• Offer specialist expertise and advice to internal and external stakeholders.

Behavioural Competencies

• Expertise in Context
• Design Thinking
• Lean Thinking
• Accountability
• Adaptability
• Analytical Thinking
• Attention to Detail
• Commitment to Continuous Learning
• Honesty and Integrity
• Fairness and Transparency
• Organisational Awareness
• Problem Solving and Analysis
• Respect
• Trust

Technical Competencies

• Data Governance
• Business Knowledge
• Data Collection and Analysis
• Data Integrity
• Efficiency Improvement
• Functional Policies and Procedures
• Information Management
• Knowledge Management
• Reporting
• Statistical and Mathematical Analysis
• Planning and Organising
• System Thinking