Company: The South African Revenue Service (SARS)

Industry: Government

Deadline: Not specified

Job Type: Full Time

Qualification: Bachelors, Matric

Experience: 5 – 10 years

Location: Gauteng

City:

Field: Finance / Accounting / Audit

Job Title: Revenue Analyst

The Junior Revenue Analyst role within the Revenue Forecasting and Analysis unit, part of the Technical Enablement division at SARS. This role is under the Large Business and International (LBI) segment responsible for delivering advanced predictive modelling and data analytics to inform revenue planning and compliance strategies.
The position is designed for a highly analytical professional with a strong quantitative background and a proven track record in applying data-driven methods to solve complex problems. The analyst will design and implement predictive models, coordinate data integration across business units, and ensure the accuracy, security, and strategic relevance of analytical outputs.
This role also involves engaging with internal stakeholders and contributing to the continuous improvement of forecasting methodologies and data governance practices. It is ideal for candidates who are passionate about public value, innovation in analytics, and driving evidence-based decision-making in a high-impact environment.

Job Purpose

To lead and coordinate data analytics and revenue forecasting initiatives within the LBI segment, providing strategic insights and actionable intelligence to support revenue planning and decision-making. This role will oversee data integration, trend analysis, and scenario modelling, ensuring the delivery of high-quality outputs aligned with SARS’s strategic objectives.

Education and Experience

A relevant Bachelor’s degree (NQF Level 7) in a quantitative field such as Mathematics, Statistics, Actuarial Science, or Data Analytics, combined with 5–7 years of experience in an analytical and technical environment, with a strong focus on applying data-driven approaches to solve complex problems, of which 2-3 years at a Functional Specialist level.

Alternative:

Senior Certificate (NQF Level 4) combined with 10 years of experience in an analytical and technical environment, with a strong focus on applying data-driven approaches to solve complex problems, of which 2-3 years at a Functional Specialist level.

Minimum Qualification & Experience Required

Senior Certificate (NQF Level 4) and a relevant Bachelor’s degree (NQF Level 7) in a quantitative discipline such as Mathematics, Statistics, Actuarial Science, or Data Analytics, with at least 10 years of related experience in a data analysis or predictive modelling environment.

Job Outputs:

Coordinate data collection, validation, and integration across multiple business units to ensure accuracy and timeliness.
Conduct advanced trend and scenario analysis to inform strategic planning and policy formulation.
Engage with internal stakeholders to align forecasting outputs with operational and strategic needs.
Lead the development and implementation of forecasting models and analytics frameworks for revenue estimation.
Ensure the confidentiality and integrity of sensitive taxpayer and financial data.
Develop and maintain structured documentation for forecasting processes and outputs.
Contribute to research on tax administration relevant to revenue collections.
Identify risks and opportunities through data-driven insights and recommend mitigation strategies.
Drive continuous improvement in forecasting methodologies and data analytics practices.
Automate manual processes to enhance reporting efficiency and reduce turnaround time.
Design and implement data frameworks to improve data accuracy, consistency, and reliability.

Process

Be observant and engage on possible violations of procedures and standards of conduct and escalate where necessary.
Liaise across other business disciplines to ensure accurate integrated data with a focus on quality and time dimensions.
Produce data to support product and/or business development.
Ensure that relevant data is secured and that confidential information is protected from unauthorised users.
Stakeholder engagement and scenario analyses.
Conduct Trend Analysis for baseline data versus current data and make recommendations.
Develop an organised and trusted filing system (Paper based and Network) that documents all activities of the Data Analyst role and effective maintenance of the filing system.
Coordinate and undertake international and regional customs and tax administration research as required.
Identify and resolve queries and problems timeously, apply discretion in line with process guidelines provided.

Governance

Comply to set governance and compliance procedures and processes related to an area of specialisation and continuously identify and escalate risks.
Ensure that completed work adhere to relevant policies, procedures, governance and legislative requirements and report on deviations & discrepancies.

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.
Ensure own understanding and adherence to customer service delivery and provide specialist support to meet or exceed customer expectations.

Behavioural competencies

Technical competencies

Revenue Analyst at The South African Revenue Service (SARS)