SARS Ops Specialist Data Analytics (x4) Job Vacancies in Brooklyn

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.

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

OR

• 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

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.
• To acquiring data from primary or secondary data sources and maintaining databases, applying the knowledge of data extraction, transformation and business modelling.
•  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.
• 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.

Governance

• Implement and provide input into the development of governance, compliance, integrity and ethics processes within area of specialisation.
• Ensure that completed work adhere to relevant policies, procedures, governance and legislative requirements and report on deviations & discrepancies.

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.

Compliance

•        GOC Confidential  

Minimum Functional Requirements:

• 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 reporting packages (MS SQL studio and associated tools like SSIS, SSRS and SQL programming language is must), Knowledge and experience in R, Python, or any other statistical tools are preferable.
• Intermediate (practical application) knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS, R etc.)
• 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 ¡V i.e. SQL, C#, JavaScript/HTML5 Front-end Web development and/or Python, R, etc.
• Microsoft skills (Proficient in Excel, Word, PowerPoint, etc.)

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