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The South African Revenue Service is hiring a Data Analyst (Advert Closing Date: 10 May 2023)

admin May 3, 2023

3 minutes read

The South African Revenue Service is hiring a Data Analyst

DEADLINE: 10 May 2023

The South African Revenue Service is hiring a Data Analyst

About the Position

SARS Enterprise Data Management is looking for individuals with a passion for working in a high-volume data environment to analyze and assist the organization to mitigate risk and fraud. The candidate should be highly proficient in dealing with large volumes of data and the relevant technologies. The individuals must be proactive, forward thinking, and self-motivated. Strong, focused, and experienced Microsoft Power BI developer that to work independently towards designing, developing, deploying and maintaining business intelligence dashboards and reports. The role requires strong technical knowledge and capabilities which the successful candidate will use to integrate and analyze unstructured big data sourced from multiple disseminated databases that enable the building of business intelligence reports and presentations.

The candidate must proactively collaborate with the broader integrated team of subject matter experts for data visualization design specifications. Experience with multiple ICT disciplines such as data governance, server architecture, design thinking, system integration, SQL batch scripting, meta-data management and end user mentoring would be an added advantage. The candidate must have the ability to apply data scrubbing techniques that contribute to high quality BI reporting and communicate insights to stakeholders using storytelling with data that ensure the organization satisfies its strategic objectives.

Job Purpose

To ensure effective management of the information life cycle or value chain that includes the identification, analysis and development of information assets and the assessment of business information needs.

Education and Experience

Minimum Qualification & Experience Required

Relevant Bachelor’s Degree / Advanced Diploma: Information System/ Statistics (NQF 7) AND 5-7 years’ experience in Data Engineering / Business Data Intelligence / Data Science , of which 2-3 years ideally at functional specialist level.

Senior Certificate (NQF 4) AND 10 years in experience in Data Engineering / Business Data Intelligence / Data Science, of which 2-3 years ideally at functional specialist level.

Minimum Functional Requirements

Microsoft Certified: Power BI Data Analyst Associate will be an added advantage.
Experience in Data Engineering / Business Data Intelligence / Data Science
Intermediate (practical application) technical expertise regarding data processes, data cleaning, analysis, reporting, data models, and database design and testing
Knowledge of and experience with building and maintaining data analysis services report models.
Knowledge and experience of creating data analysis expression queries.
Intermediate (practical application) knowledge of developing dashboards Power BI, visual reports and KPI scorecards and experience using statistical packages for analysing datasets.
Intermediate (practical application) Data warehouse knowledge
Be proficient in the application of:
- Basic Data Migration
- Basic Data Visualization
- Business Intelligence Methodologies
- Database Knowledge
Intermediate (practical application) Programming Skills i.e., SQL, Front-end Web development etc.
Microsoft skills (Proficient in Excel, Word, PowerPoint, etc.)
Microsoft Power BI experience
Data & Business Analyst experience

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 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.
To acquiring data from primary or secondary data sources and maintaining databases, applying the knowledge of data extraction, transformation and business modelling.
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.
Communicate the results of their analysis and findings by using medium to complex data visualisation techniques with both internal and external customers.
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.
To assist in the filtering and ¡§cleaning¡¨ of imported data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.