Job Description: To ensure effective management of the OEPP - Production Planning and Scheduling information life cycle of the value chain that includes the identification, analysis, and development of information assets and the assessment of business information needs. The role further entails collaborating of findings too. Job Responsibilities: Execute specialist input through investigation &opportunities within the product process including risk concern. Correctly apply policies, practices, standards, procedures and legislation in the delivery of work outputs. Plan for value-added process improvements, initiatives and services to deliver on operational strategy and objectives. Provide specialist input through the investigation of opportunities for operational and process product and risk optimisation. Accumulate information to review work progress that provides input to reporting, decision making and the identification of improvement opportunities. To perform ¡§intermediate¡¨ business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modelling, data mining. Draw on own knowledge and experience to diagnose symptoms, causes and possible effects in order to solve emerging problems. To design, develop and test medium to complex data analytics solutions like Reports, Dashboards, Analysis, Extracts, Models, etc. Communication of situational interpretation and judgement of work outputs and queries in area of specialisation. Initiate process and procedural change, implement the change and provide guidelines and support related to new requirements because of the change. Apply practical and applied knowledge and act authoritatively on methods, systems and procedures to identify trends and potential risks. To acquiring data from primary or secondary data sources and maintaining databases, applying the knowledge of data extraction, transformation and business modelling. Job Requirements: Knowledge of and experience with reporting packages (SQL, Power BI or equivalent, etc.), databases (SQL, Power BI etc.), programming (SQL, Power BI, etc.) 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. Intermediate (practical application) knowledge of statistics and experience using statistical packages for analysing datasets (Excel, Power BI, etc.) Experience in Data Engineering / Business Data Intelligence / Data Science Intermediate (practical application) Data warehouse knowledge Intermediate (practical application) technical expertise regarding data processes, data cleaning, analysis, reporting, data models, and database design and testing. Job Details: Company: South African Revenue Service - SARS Vacancy Type: Full Time Job Location: Pretoria Application Deadline: N/A Apply Here instantcareers.net
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