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.
\n\tThe 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.
\n\tThis 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.<\/p>\n
Job Purpose<\/p>\n
\tTo 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\u2019s strategic objectives.<\/p>\n
Education and Experience<\/p>\n
\tA relevant Bachelor\u2019s degree (NQF Level 7) in a quantitative field such as Mathematics, Statistics, Actuarial Science, or Data Analytics, combined with 5\u20137 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.<\/p>\n
Alternative:<\/p>\n
\tSenior 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.<\/p>\n
Minimum Qualification & Experience Required<\/p>\n
\t\u00a0Senior Certificate (NQF Level 4) and a relevant Bachelor\u2019s 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.<\/p>\n
Job Outputs:<\/p>\n
\tCoordinate data collection, validation, and integration across multiple business units to ensure accuracy and timeliness.
\n\tConduct advanced trend and scenario analysis to inform strategic planning and policy formulation.
\n\tEngage with internal stakeholders to align forecasting outputs with operational and strategic needs.
\n\tLead the development and implementation of forecasting models and analytics frameworks for revenue estimation.
\n\tEnsure the confidentiality and integrity of sensitive taxpayer and financial data.
\n\tDevelop and maintain structured documentation for forecasting processes and outputs.
\n\tContribute to research on tax administration relevant to revenue collections.
\n\tIdentify risks and opportunities through data-driven insights and recommend mitigation strategies.
\n\tDrive continuous improvement in forecasting methodologies and data analytics practices.
\n\tAutomate manual processes to enhance reporting efficiency and reduce turnaround time.
\n\tDesign and implement data frameworks to improve data accuracy, consistency, and reliability.<\/p>\n
Process<\/p>\n
\tBe observant and engage on possible violations of procedures and standards of conduct and escalate where necessary.
\n\tLiaise across other business disciplines to ensure accurate integrated data with a focus on quality and time dimensions.
\n\tProduce data to support product and\/or business development.
\n\tEnsure that relevant data is secured and that confidential information is protected from unauthorised users.
\n\tStakeholder engagement and scenario analyses.
\n\tConduct Trend Analysis for baseline data versus current data and make recommendations.
\n\tDevelop 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.
\n\tCoordinate and undertake international and regional customs and tax administration research as required.
\n\tIdentify and resolve queries and problems timeously, apply discretion in line with process guidelines provided.<\/p>\n
Governance<\/p>\n
\tComply to set governance and compliance procedures and processes related to an area of specialisation and continuously identify and escalate risks.
\n\tEnsure that completed work adhere to relevant policies, procedures, governance and legislative requirements and report on deviations & discrepancies.<\/p>\n
People<\/p>\n
\tDevelop and maintain productive working relationships with peers and team members to achieve predefined objectives.
\n\tSearch for, integrate and share new knowledge attained through formal and informal learning opportunities in the execution of your job.<\/p>\n
Finance<\/p>\n
\tAdhere to organisational policies and procedures to ensure cost effectiveness and reduction of financial costs.<\/p>\n
Client<\/p>\n
\tContribute to a culture of service excellence, which builds positive relationships and provides opportunity for feedback and exceptional service.
\n\tEnsure own understanding and adherence to customer service delivery and provide specialist support to meet or exceed customer expectations.<\/p>\n
Behavioural competencies<\/p>\n
\tAccountability
\n\tAnalytical Thinking
\n\tAttention to Detail
\n\tBuilding Sustainability
\n\tConceptual Ability
\n\tCommitment to Continuous Learning
\n\tFairness and Transparency
\n\tHonesty and Integrity
\n\tOrganisational Awareness
\n\tTrust
\n\tRespect<\/p>\n
Technical competencies<\/p>\n
\tAdvanced data analytics and forecasting techniques.
\n\tFinancial analysis and interpretation of complex datasets.
\n\tEconomic research and scenario modelling.
\n\tBusiness knowledge and strategic insight into revenue drivers.
\n\tProficiency in statistical tools and data visualization platforms.
\n\tStrong understanding of SARS policies, procedures, and governance frameworks.<\/p>\n
go to method of application \u00bb<\/p>\n
Apply via company website ( ) or<\/p>\n
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