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Data Analyst II- SMME Segment
Data Analyst II- SMME SegmentThe South African Revenue Service • Johannesburg, ZA
Data Analyst II- SMME Segment

Data Analyst II- SMME Segment

The South African Revenue Service • Johannesburg, ZA
1 day ago
Job description

Job title : Data Analyst II- SMME Segment

Job Location : Gauteng, Johannesburg

Deadline : December 25, 2025

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Job Purpose

  • The Data Analyst will play a critical role in transforming raw data into actionable insights that support strategic decision-making. This position requires strong analytical skills, attention to detail, and the ability to work collaboratively across teams to deliver high-quality data solutions
  • Education and Experience

    Minimum Qualification & Experience Required

  • Relevant bachelor’s degree / Advanced Diploma : Data Science / Statistics / Economics / Information Systems / Computer Science / Mathematics / Business Information Systems AND 5-7 years' experience in Data Engineering / Business Data Intelligence / Data Science / Data Analytics, of which 2-3 years ideally at functional specialist level.                                                                                                     OR
  • Senior Certificate (NQF 4) AND 10 years of experience in Data Engineering / Business Data Intelligence / Data Science / Data Analytics, of which 2-3 years ideally at functional specialist level.
  • Minimum Functional Requirements

    Technical Skills :

  • Proficiency in SQL and data visualization tools (Power BI).
  • Familiarity with advanced Excel functions.
  • Strong problem-solving and communication skills.
  • Competencies :

  • Analytical thinking and problem-solving.
  • Attention to detail and ability to work under pressure.
  • Strong communication and stakeholder engagement skills.
  • Preferred Attributes

  • Experience in risk modelling for Domestic taxes.
  • Understanding of SMME Sector
  • Job Outputs : Process

  • Accumulate information to review work progress that provides input to reporting, decision making and the identification of improvement opportunities.
  • Apply practical and applied knowledge and act authoritatively on methods, systems and procedures to identify trends and potential risks.
  • Communication of situational interpretation and judgement of work outputs and queries in area of specialisation.
  • Correctly apply policies, practices, standards, procedures and legislation in the delivery of work outputs.
  • Draw on own knowledge and experience to diagnose symptoms, causes and possible effects in order to solve emerging problems.
  • Initiate process and procedural change, implement the change and provide guidelines and support related to new requirements because of the change.
  • Plan for value-added process improvements, initiatives and services to deliver on operational strategy and objectives.
  • Execute specialist input through investigation &opportunities within the product process including risk concern.
  • Provide specialist input through the investigation of opportunities for operational and process product and risk optimisation.
  • Undertake information gathering, research and analyse data within broad guidelines to produce accurate plans & or recommendations for business issues.
  • To perform intermediate business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modelling, data mining.
  • To design, develop and test medium to complex data analytics solutions like Reports, Dashboards, Analysis, Extracts, Models, etc.
  • To identify, analyses and interpret trends and patterns in medium to complex data sets, based on data findings.
  • Constantly monitor the integrity and quality of data and processes to identify deficiencies and facilitate improvement.
  • Communicate the results of their analysis and findings by using medium to complex data visualisation techniques.
  • To ensure the availability of existing data analytics solutions (like reports, etc.) by maintaining them as well as improving them where shortcomings exist.
  • To research best practices and supports developing the solutions and recommendations for the current business operations.
  • Support ad hoc data requests and contribute to ongoing process improvements.
  • Governance

  • Ensure that completed work adhere to relevant policies, procedures, governance and legislative requirements and report on deviations & discrepancies.
  • Implement and provide input into the development of governance, compliance, integrity and ethics processes within area of specialization.
  • 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.
  • Provide authoritative, specialist services, expertise and advice to internal and external stakeholders.
  • Behavioural competencies

  • Accountability
  • Analytical thinking
  • Attention to detail
  • Building Sustainability
  • Commitment to Continuous Learning
  • Conceptual Ability
  • Fairness and Transparency
  • Problem Solving and Analysis
  • Respect
  • Trust
  • Technical competencies

  • Business Knowledge
  • Computer Literacy
  • Data Collection and Analysis
  • Database Design and Management
  • Data Management
  • Efficiency improvement
  • Functional Policies and Procedures
  • Information management
  • Reporting
  • Statistical and Mathematical Analysis Proficiency
  • Technical Expertise
  • Research / Data Analysis  jobs
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    Data Analyst • Johannesburg, ZA

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