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
Performance Areas Statistical Modeling and Forecasting Provide statistical modeling advice to the Claims Risk financial literature to ensure use of the latest models or statistical techniques. Monitor business indicators appropriateness of the methodologies and underlying models used as well as the assumptions made in the calculation done for the Claim Risk department. Make use of modelling and forecasting tools to quantify all risk exposures Relevant 5-7 years' experience in a Statistical Modelling related environment. Technical and Behavioral
structured and unstructured data sets. Responsibilities: Model complex business problems, discovering insights intelligent automation and predictive modelling. Build machine learning models from and utilises distributed Kafka. Provide input into Data management and modelling infrastructure requirements and adhere to the Ensure business integration through integrating model outputs into end-point production systems, are understood Measure proficiency in using the diagramming and modelling techniques vital for requirements analyses. Qualifications
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
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)