managing the Data Architecture landscape.
Data modelling and to assist when working with complex Data and
architecture, Data Warehousing, Data Integration, Data Modelling, Data Governance, Master Data Management, SAP
Locations: Centurion l Johannesburg l Cape Town Working model: Hybrid Specification: The Data Engineer will have for data analysis, data manipulation, and data modelling. The candidate will be responsible for understanding Experience in data mining, large scale data modelling and business requirements gathering/analysis. Experience implementing data modelling methodologies like Dimensional Modelling and / or Data Vault. Working information to discover trends and patterns. Data Modelling (Relational and Star Schema). Database design
Locations: Centurion l Johannesburg l Cape Town Working model: Hybrid Specification: The Data Engineer will have for data analysis, data manipulation, and data modelling. The candidate will be responsible for understanding Experience in data mining, large scale data modelling and business requirements gathering/analysis. Experience implementing data modelling methodologies like Dimensional Modelling and / or Data Vault. Working information to discover trends and patterns. Data Modelling (Relational and Star Schema). Database design
medium term forecast via the internal forecasting model to ensure that the forecast is accurate and reflective evaluate possible risks and opportunities for new model introductions. Prepare volume studies for FBU and Excel to ensure that risks and opportunities of model introductions are highlighted. Prepare input MPL them to continue with their leg of the process. Model mix analysis to evaluate financial impact versus forecasting model, without it impacting on demand. Run-in and run-out planning of model types and model derivatives
medium term forecast via the internal forecasting model to ensure that the forecast is accurate and reflective evaluate possible risks and opportunities for new model introductions. Prepare volume studies for FBU and Excel to ensure that risks and opportunities of model introductions are highlighted. Prepare input MPL them to continue with their leg of the process. Model mix analysis to evaluate financial impact versus forecasting model, without it impacting on demand. Run-in and run-out planning of model types and model derivatives
vulnerabilities.
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reporting
Development Life Cycle models (Waterfall, Rapid Application Development, Spiral Model, Agile, etc.) required
Create financial models. Management Information analysis Business Information models Analysing data trends