Specialist: Data Analytics

Sars; Pretoria; On-site; ZAR 900,000 - 1,500,000; Full time

Job summary

SARS seeks a senior data analyst to import, cleanse, transform, validate and analyze data from multiple sources to draw conclusions on industry trends and best practices. You will provide expert analytics advice to achieve business objectives.

Responsibilities include ensuring data integrity, building data warehouses, performing advanced statistical analyses, data mining, and delivering actionable reports to senior management and internal stakeholders.

Qualifications

• Bachelor's Degree or Advanced Diploma in Statistics or Quantitative Management with 8–10 years' data analysis and modelling experience.

Responsibilities

• Constantly monitor data integrity and quality to identify deficiencies and drive improvements.

Skills

Statistical analysis

Hypothesis testing

Data Science

Data cleaning

SQL programming

Data visualization

Data modeling

Excel

Education

Bachelor's Degree / Advanced Diploma (NQF 7) in Statistics / Quantitative Management

Senior Certificate (NQF 4) with 15 years experience in Data Analysis

Tools

SQL

Excel

SPSS

SAS

R

Job description

Position Reports to:

Senior Specialist: Market Segment Research

Division:

Taxpayer Engagement Operations

Location:

Lehae La SARS, Brookly Bridge Pretoria

Advert Closing Date:

15 October 2026

About the Position

In an ever-changing environment, we have built a responsive and agile organisation to give effect to our strategic intent of achieving voluntary compliance. We invite you to be part of the special team that contributes to the collection of revenue, protect the economy and people of South Africa. We believe that your skills, commitment, and dedication will add value and make a difference to the organisation and country. Integrity is key to the organisation.

Job Purpose

To be responsible for importing, cleansing, transforming, validating, aggregating and analysing data from various sources with the purpose of making conclusions about industry trends and best practices. To analyse and provide expert advice with regards to data analytics to achieve business objectives.

Education and Experience

Minimum Qualification & Experience Required

Bachelor's Degree / Advanced Diploma (NQF 7) in Statistics / Mathematical Statistics / Quantitative Management with 8 - 10 years' experience in Data Analysis and Statistical Modelling environment, of which 3 - 4 years at a junior specialist level.

#Alternative

Senior Certificate (NQF 4) with 15 years experience in Data Analysis and Statistical Modelling environment, of which 3 - 4 years at a junior specialist level.

Minimum Functional Requirements

• Experience in Statistical analysis/ Hypothesis testing/ Data Science. Advanced (applied theory) technical expertise regarding data processes, data cleaning, analysis, reporting, data models,
• and database design and testing Knowledge of and experience with reporting packages (SQL or
• Advanced (applied theory) knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS, R etc.)
• Advanced (applied theory) Data warehouse knowledge
• Be advance in the application of:

• Basic Data Migration
• Basic Data Visualization
• Business Intelligence Methodologies
• Database Knowledge

• Advanced (applied theory) Programming Skills i.e. SQL, and/or

Job Outputs:

Process

• Constantly monitor the integrity and quality of data and processes to identify deficiencies and facilitate improvement.
• Contribute to the optimum utilisation of org. resources, advising on effective planning and development of area of specialisation resource plans.
• Develop a single practice area in alignment with operational activity and procedural frameworks and ensure tactical implementation.
• Draw on own technical or professional expertise, knowledge and experience to identify and recommend tactical solutions to defined problems in practices.
• Integrate business information, compare, analyse and produce reports to identify trends, discrepancies and inconsistencies for decision making purposes.
• Note potential problems and obstacles, accumulate supporting data and initiate actions to prevent or overcome predicted problems as may be identified.
• Optimise goal achievement through tactical strategy implementation and optimisation of practises, processes and systems across an internal value chain.
• Plan for value-added, continuous practice and system improvements to deliver on objectives to enhance tactical implementation and excellence.
• Proactively identify interconnected problems, determine its impact and use to develop best fit alternatives, best practice implementation solutions.
• Research and support workable recommendations/solutions that meet business needs through information analysis.
• Review the effectiveness of related approaches and methodologies by conducting research, and best practice benchmarking initiatives.
• Translate top down policy in relation to own practice area and communicate impact to relevant stakeholders.
• Undertake information gathering, research and analyse data within broad guidelines to produce accurate plans and / or recommendations for business issues
• Acquire data from primary or secondary data sources and maintaining databases, applying the knowledge of data extraction, transformation and business modelling
• Perform complex / advanced business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modelling, data mining.
• Ensure the availability of existing data analytics solutions (like reports, etc.) by maintaining them as well as improving them where shortcomings exist.
• Analyses data, creates summary reporting, and performs analysis to support the decision making of research, senior management, member companies and internal departments.
• Acquiring data from primary or secondary data sources and maintaining databases, applying the knowledge of data extraction, transformation and business modelling.
• Builds and manage/maintain database to house data collected from various sources.
• Conducts analysis, summarizes key findings and trends, and produces data sheets, graphics and presentations.
• Communicate the results of their analysis and findings by using basic complex / advance visualisation techniques with both internal and external customers.
• Gathers data from multiple sources and assimilates into meaningful inputs for databases.

Governance

• Develop and /or align governance and compliance policies for own practice areas to identify and manage risk exposure liability.

People

• Integrate new knowledge and transfer skills attained through formal and informal learning opportunities in the execution of your job.
• Provide specialist know-how, support, advice and practice thought leadership in area of expertise.

Finance

• Implement and monitor financial control, management of costs and corporate governance in area of specialisation.

Client

• Participate in the specialist practice community and contribute positively to organisation knowledge management.
• Provide authoritative, specialist expertise and advice to internal and external stakeholders.
• Accountability
• Analytical thinking
• Commitment to Continuous Learning
• Fairness and Transparency
• Honesty & Integrity
• Organisational Awareness
• Problem Solving and Analysis
• Respect
• Trust
• Business Knowledge
• Data Integrity
• Data Collection and Analysis
• Functional Policies & Procedures
• Information Management
• Knowledge Management
• Reporting
• Statistics & Mathematical Analysis

Compliance Competency

• GOC Secret

Employment Equity

The Employment Equity policy of SARS will be considered as part of the recruitment and selection process and Persons with Disabilities are encouraged to apply. Successful candidates will be required to undertake an oath of secrecy, pre-employment screening, case study, pre-assessment, psychometric assessment and/or vetting, and a declaration of private interest. The appointment is also subject to appropriate reference(s) and security clearance where applicable.