Junior Revenue Analyst: Ops Specialist - SARS

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.

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.

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.

Behavioural competencies

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

Technical competencies

• Advanced data analytics and forecasting techniques.
• Financial analysis and interpretation of complex datasets.
• Economic research and scenario modelling.
• Business knowledge and strategic insight into revenue drivers.
• Proficiency in statistical tools and data visualization platforms.
• Strong understanding of SARS policies, procedures, and governance frameworks.