· Develop user-facing features using Angular framework and other web technologies.
· Collaborate
communicating business process related knowledge through modelling; simulating and analyzing current and future states; experience in applying formal business process modelling or business analysis methodologies
maintaining reports, dashboards,scorecards,KPIs,data models,accuracy and quality. Take a lead role in managing data accuracy. Create, support, and maintain data models, reports, and dashboards to address evolving data decision-making. Develop and maintain advanced analytics models and techniques for forecasting and predictive analysis Power BI, or similar platforms. Excellent data modelling and data visualization skills. • Knowledge of
communicating business process related knowledge through modelling; simulating and analyzing current and future states; experience in applying formal business process modelling or business analysis methodologies
maintaining reports, dashboards,scorecards,KPIs,data models,accuracy and quality. Take a lead role in managing data accuracy. Create, support, and maintain data models, reports, and dashboards to address evolving data decision-making. Develop and maintain advanced analytics models and techniques for forecasting and predictive analysis Power BI, or similar platforms. Excellent data modelling and data visualization skills. • Knowledge of
and predictions. Aid in creating internal audit models and reports to identify risks and risk areas Identify Documentation up to date and the maintenance of semantic models Qualifications Grade 12/Senior Certificate Tertiary BI (Including, but not limited to Ingestion, Modelling, Transformations and Cleansing, and DAX Expressions)
Designing, implementing, and maintaining SAP BW data models. Extracting, transforming, and loading data from understanding of SAP BW architecture and data modeling concepts. Proficiency in SAP BW tools and technologies
determined by a risk-based approach and so the key risks facing the Group, including subsidiaries, and the requirements
support high performing ML algorithms, predictive models and support real-time data visualisation requirements methodology. Knowledge of retail industry data models. Advanced knowledge of compliance and IT governance Stakeholder Management. Data Architecture, Data Modelling and Data Pipelining. Solutions Architecture. ATTRIBUTES:
and also perform test execution as required. Modelling business problems as entity relationships. Creating Adept in the use of spreadsheets. Capable of modelling information and scenario analysis. Market related