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
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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
integrity management (financial models)
possess skills in Financial modeling, working capital validation modelling, and hands-on experience with
TypeScript, etc.
Comfortable with data modelling, Qlik NPrinting, data mapping, back and front-end
existing Qlikview models.
Data Clean up from source.
Developing new Qlikview models.
Maintaining