Data Analyst II (Data Analytics) Jobs

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  • Full Time
  • Cape Town, South Africa

The South African Revenue Service (SARS)

The South African Revenue Service (SARS) is the nation’s tax collecting authority. Established under the South African Revenue Service Act 34 of 1997 as an autonomous agency, we administer the South African tax system and customs service. Our main functions include collecting and administering all national taxes, duties, and levies.

Data Analyst II (Data Analytics)

  • Job Type Full Time
  • Qualification Bachelors, Higher National Certificate, Matric
  • Experience 5 – 10 years
  • Location Gauteng
  • Job Field Data, Business Analysis and AI, ICT / Computer

Job Purpose

To manage the information life cycle effectively. This includes identifying, analyzing, and developing information assets, and assessing business information needs.

Minimum Qualification and Experience Required

Education and Experience

  • Bachelor’s Degree / Advanced Diploma (NQF 7) in Statistics, Mathematics, Computer Science, Data Science, Information Systems, or a related quantitative field, plus 5-7 years’ experience in Data Analytics or a similar environment. This includes 2-3 years at a technically skilled level.

Alternative

  • Senior Certificate (NQF 4) plus 10 years’ related experience in a data science environment, including 2-3 years at a technically skilled level.

Minimum Functional Requirements

  • Experience in Data Engineering, Business Data Intelligence, or Data Science.
  • Intermediate technical skills in data processes, cleaning, analysis, reporting, data models, database design, and testing.
  • Knowledge and experience with reporting packages (such as SQL), databases (such as SQL), and programming (such as SQL, R, Python).
  • Intermediate knowledge of statistics and experience using statistical packages for analyzing datasets (such as Excel, SPSS, SAS, R).
  • Intermediate knowledge of data warehouses.
  • Proficiency in:
    • Basic Data Migration
    • Basic Data Visualization
    • Business Intelligence Methodologies
    • Database Knowledge
    • Intermediate Programming Skills (such as SQL, Python, R)
    • Microsoft skills (Excel, Word, PowerPoint)

Job Outputs

Process

  • Share analysis results and findings using data visualization techniques with internal and external customers.
  • Provide specialist input by investigating opportunities and risks in product processes.
  • Design, develop, and test data analytics solutions such as reports, dashboards, analyses, extracts, and models.
  • Maintain and improve existing data analytics solutions to ensure availability.
  • Gather data from primary or secondary sources and maintain databases, using skills in data extraction, transformation, and business modeling.
  • Help filter and clean imported data by reviewing reports and indicators to fix issues.
  • Identify, analyze, and interpret trends and patterns in complex data sets.
  • Perform business analysis using techniques like statistical analysis, modeling, and data mining.
  • Research best practices and develop solutions and recommendations for business operations.
  • Gather information to track progress, support reporting, decision-making, and identify improvements.
  • Apply knowledge to identify trends and risks using methods, systems, and procedures.
  • Communicate interpretations and judgments on work outputs and queries.
  • Follow policies, practices, standards, procedures, and legislation.
  • Diagnose and solve problems using knowledge and experience.
  • Initiate and implement process changes, providing guidelines and support.
  • Plan improvements to deliver on strategy and objectives.
  • Investigate opportunities for optimization in operations, processes, products, and risks.

Governance

  • Implement governance, compliance, integrity, and ethics processes.
  • Ensure work follows policies, procedures, governance, and laws, and report any issues.

People

  • Build and maintain productive relationships with peers and team members to meet objectives.
  • Integrate and share new knowledge from learning opportunities.

Finance

  • Follow policies to ensure cost effectiveness and reduce financial costs.

Client

  • Contribute to a culture of service excellence and positive relationships.
  • Provide specialist services, expertise, and advice to internal and external stakeholders.

Behavioural Competencies

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

Technical Competencies

  • Information Management
  • Computer Literacy
  • Data Analysis
  • Data Management
  • Efficiency Improvement
  • Functional Policies and Procedures
  • Statistical and Mathematical Analysis
  • Business Knowledge
  • Technical Expertise
  • Knowledge Management
  • Database Design and Management
  • Data Collection and Analysis
  • Reporting

Method of Application

Interested and qualified candidates should apply through the SARS career portal.

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