puestos de Administration en Sudáfrica

Job title: Revenue Analyst

Job Location: Gauteng, Johannesburg

Deadline: October 12, 2025

• 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.
• Design and implement predictive models, coordinate data integration across business units, and ensure the accuracy, security, and strategic relevance of analytical outputs.
• Engage with internal stakeholders and contribute to the continuous improvement of forecasting methodologies and data governance practices.
• 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.
• Oversee data integration, trend analysis, and scenario modelling, ensuring the delivery of high-quality outputs aligned with SARS’s strategic objectives.
• Develop and maintain forecasting models and analytics frameworks for revenue estimation; automate manual processes to enhance reporting efficiency and reduce turnaround time.
• 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.
• Design and implement data frameworks to improve data accuracy, consistency, and reliability.

• Education and Experience
• A relevant Bachelor’s degree (NQF Level 7) in a quantitative field such as Mathematics, Statistics, Actuarial Science, or Data Analytics, with 5–7 years of experience in an analytical and technical environment, including 2-3 years at a Functional Specialist level.
• Alternative:
• Senior Certificate (NQF Level 4) with 10 years of experience in an analytical and technical environment, including 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 Mathematics, Statistics, Actuarial Science, or Data Analytics, with at least 10 years of related experience in data analysis or predictive modelling.

• Coordinate data collection, validation, and integration across multiple business units to ensure accuracy and timeliness.
• Engage with internal stakeholders to align forecasting outputs with operational and strategic needs; liaise across other business disciplines to ensure accurate integrated data with quality and time dimensions.
• Produce data to support product and/or business development; ensure data security and protection of confidential information.
• Stakeholder engagement and scenario analyses; conduct trend analysis for baseline vs current data and make recommendations.
• Develop an organized filing system and maintain documentation for Data Analyst activities; coordinate international and regional customs and tax administration research as required.
• Identify and resolve queries and problems in a timely manner, applying discretion per process guidelines.

• Governance: Comply with governance and compliance procedures, identify and escalate risks; ensure completed work adheres to policies and legislative requirements.
• People: Develop productive working relationships; share knowledge and learn continuously.
• Finance: Adhere to policies to ensure cost effectiveness and reduction of financial costs.
• Client: Support service excellence and meet customer expectations.
• Behavioural competencies: Accountability; Analytical Thinking; Attention to Detail; Building Sustainability; Conceptual Ability; Commitment to Continuous Learning; Fairness; Honesty; Integrity; Organisational Awareness; Trust; Respect.
• Technical competencies: Advanced data analytics and forecasting; 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; Knowledge of SARS policies, procedures, and governance frameworks.