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Specialist : Data Analytics (Graph Analytics) (10513)

Specialist : Data Analytics (Graph Analytics) (10513)

The South African Revenue ServiceZA
10 days ago
Job description

Job title : Specialist : Data Analytics (Graph Analytics) (10513)

Job Location : Gauteng,

Deadline : October 19, 2025

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Job Purpose

  • The purpose of the Specialist : Data Analytics role is to analyse data and provide expert advice to achieve business objectives. This involves monitoring data integrity, identifying deficiencies, and recommending improvements. The role requires integrating business information, producing reports, and developing tactical solutions to enhance processes and systems. The specialist will also conduct research, benchmark best practices, and translate policies to ensure continuous improvement and effective decision-making.

    • Education and Experience

    Minimum Qualification & Experience Required

  • A relevant Bachelor's Degree or Advanced Diploma (NQF 7), preferably in Engineering, Statistics, Mathematics, Computer Science, or a related field AND 8–10 years of experience in a Data Analytics environment, of which 3–4 years at a junior specialist level, with demonstrable experience across multiple data roles (Data Analyst, Data Engineer, Data Developer), and specific exposure to graph analytics.

    • # Alternative Qualification

  • Senior Certificate (NQF 4) with 15 years of relevant experience in a Data Analytics environment, including experience in graph analytics, of which 3–4 years at a junior specialist level, with demonstrable experience across multiple data roles (Data Analyst, Data Engineer, Data Developer), and specific exposure to graph analytics.

    • # Preferred Qualification

  • A Bachelor's Degree in Industrial Engineering.

    • Minimum Functional Requirements

  • Experience in Data Engineering / Business Data Intelligence
  • 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 equivalent, etc.), databases (SQL, etc.), and programming (SQL, R, Python, etc.)
  • 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 advanced 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 Python, R, etc.
  • Microsoft skills (Advanced), i.e., Excel, Word, PowerPoint, etc.

    • Job Outputs : Process

  • Analyse and make recommendations about improvements to specialist systems, procedures, policies and practices.
  • Conduct assessments and use information to advise, make recommendations and facilitate improvement.
  • 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.
  • Recommend changes to optimise processes, systems, practice areas and associated procedures and execute the implementation of change and innovation.
  • 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, apply modification 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.
  • Undertake information gathering and 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 maintain databases, applying the knowledge of data extraction, transformation, and business modeling.
  • Perform complex / advanced business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, and data mining.
  • Design, develop and test complexadvanced  data analytics solutions like Reports, Dashboards, Analysis, Extracts, Models, etc.
  • Identify, analyse and interpret trends and patterns in complex / advanced data sets, based on data findings.
  • Ensure the availability of existing data analytics solutions (like reports, etc.) by maintaining them as well as improving them where shortcomings exist.

    • Governance

  • Develop and / or align governance and compliance policies for own practice area 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 the area of expertise.

    • Finance

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

    • Client

  • Develop and ensure implementation of a practice that builds service delivery excellence and encourages others to provide exceptional stakeholder service.
  • Participate in the specialist practice community and contribute positively to organisation knowledge management.
  • Provide authoritative, specialist expertise and advice to internal and external stakeholders.

    • Behavioural competencies

  • Accountability
  • Adaptability
  • Analytical Thinking
  • Attention to Detail
  • Commitment to Continuous Learning
  • Conceptual Ability
  • Expertise In Context
  • Organisational Awareness
  • Problem Solving and Analysis
  • Fairness and Transparency
  • Honesty and Integrity
  • Organisational Awareness
  • Problem Solving & Analysis
  • Respect
  • Trust

    • Technical competencies

  • Business Knowledge (Ability to understand a business problem and how to solve with data)
  • Data Analytics
  • Data Collection and Analysis (Data Collection and Analysis, Machine Learning, Predictive Modelling, Data Visualisation, and Big Data Technologies.)
  • Data Governance
  • Date Integrity
  • Efficiency improvement
  • Functional Policies and Procedures
  • Information Management
  • Knowledge Management
  • Statistical and Mathematical Analysis
  • System Thinking
  • Reporting
  • Research / Data Analysis  jobs
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