Analyst: Data & Reporting needed at The South African Revenue Service

Job Purpose

• The job purpose of Analyst: Data and Reporting within third-party data management is to analyse external data, generate insights, and develop data-driven strategies to enhance business performance. This role involves leveraging third-party data to support decision-making, improve operational efficiency, and ensure compliance with tax regulations. The analyst is responsible for creating detailed reports, identifying trends, and providing recommendations to optimize processes and achieve organizational objectives.

Education and Experience

Minimum Qualification & Experience Required 

• National Diploma (NQF 6) in Information Systems/ Statistics/ Computer Science/ Informatics and or Information Technology with solid data and reporting background AND 3 – 4 years’ experience in a similar environment, of which 1 – 2 years at a knowledge worker level.

Alternative #

• Senior Certificate (NQF 4) with 6 years related experience, of which 1 – 2 years at a knowledge worker level.

Minimum Functional Requirements

• Technical Expertise: Intermediate to advanced knowledge of data processes, data cleaning, analysis, reporting, data models, and database design and testing.
• Data Tools Proficiency: Experience with reporting tools (e.g., SQL, Power BI, Tableau), databases (e.g., SQL Server), and programming languages (e.g., R, Python).
• Statistical Knowledge: Proficiency in using statistical packages for analysing datasets (e.g., Excel, SPSS, SAS, R).
• Data Warehousing: Knowledge of data warehousing concepts and practices.
• Business Intelligence: Understanding of business intelligence methodologies and data visualization techniques.
• Microsoft Skills: Proficiency in Microsoft Office applications (Excel, Word, PowerPoint)

Job Outputs:

Process

• Accumulate information and provide reports with recommendations applicable to area of specialisation.
• Analyse and evaluate performance of BU, identify and report on variances against cost, quality, delivery and risk, ensure compliance with ops strategy.
• Apply practical and applied knowledge and act authoritatively on methods, systems and procedures to identify trends and potential risks.
• Collect and collate data, analyse information and provide reports and recommendations.
• Communication of situational interpretation and judgement of work outputs and queries in area of specialisation.
• 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 as a result of the change.
• Gather data of current processes, systems and performance to facilitate process analysis and improvements.
• Provide specialist input through the investigation of opportunities for operational and process product and risk optimisation.
• Undertake information gathering and analysis of data within set guidelines to report related information to business.

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.

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
• Analytical Thinking
• Attention to Detail
• Commitment to Continuous Learning
• Fairness and Transparency
• Honesty and Integrity
• Organisational Awareness
• Conceptual Ability
• Fairness and Transparency
• Respect

Technical Competencies

• Business Knowledge
• Data Analysis
• Data Collection and Analysis
• Efficiency improvement
• Functional Policies and Procedures
• Quality Orientation
• Reporting
• Statistical and Mathematical Analysis