Design and Modelling Any additional responsibilities assigned in the Agile Working Model (AWM) Charter advantage. ROLE: Development and creation of Planning Models for international production. Important: A clear excellence. ROLE: • Development and creation of Planning Models for international production. • Important: A clear Design and Modelling • Any additional responsibilities assigned in the Agile Working Model (AWM) Charter
he Data and BI Analyst will be assisting the modelling and analytics team with all analytics, reporting business on key business metrics and assist the modelling team to drive strategic decision-making and better enable quantitative analysis for statistical and modelling team. Explore data to understand its structure trends, and correlations. Design and build data models, dashboards, and reports using business intelligence
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The purpose of this position is modelling data to provide clean, accurate datasets so that testing, and documenting data assets.Â
- Model raw data into clean, tested, and reusable datasets
and monitoring of performance of data systems and models.
- Set software engineering best practices
validate, and execute algorithms and predictive models to collect, merge, analyse, extract, and interpret
delivers business value and impact.
- Design data models, as well as, developing and maintaining data pipelines
documenting and enhancing a range of predictive models across the entire credit life cycle. Responsibilities: in the development and application of predictive models across the entire credit life cycle. Conduct continuous research aimed at identifying predictors and enhancing model development practice and techniques. Monitor and Analysis, Data Science, Machine Learning, Predictive Modelling, Problem Solving & Analytical, Python Programming Understanding & knowledge of predictive modelling practices, performance standards & methodologies
focus on Prescriptive Analytics and Predictive Modelling. ● Engage with internal business clients with ● Create algorithms and build machine learning models to enhance product offerings and solve business systems to track model performance. ● Presentation of data science opportunities and model outcomes to a ● Experience or familiarity with data science model operationalization on-prem or in the cloud (GCP
statistical analysis, forecasting, predictive modelling, simulation and optimisation to discover trends statistical analysis, forecasting, predictive modelling, simulation and optimisation. to Identify, explore questions. o Design advanced analytics (quantitative) models that will answer key business questions or discover increased revenue or reduced costs. o Analyse model results, interpret findings and communicate these based on model results. o Run and automate regular reporting and operationalise successful models. o Establish
statistical analysis, forecasting, predictive modelling, simulation and optimisation to discover trends statistical analysis, forecasting, predictive modelling, simulation and optimisation. to Identify, explore questions. o Design advanced analytics (quantitative) models that will answer key business questions or discover increased revenue or reduced costs. o Analyse model results, interpret findings and communicate these based on model results. o Run and automate regular reporting and operationalise successful models. o Establish
BI (Including, but not limited to Ingestion, Modelling, Transformations and Cleansing, and DAX Expressions) 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) and predictions. Aid in creating internal audit models and reports to identify risks and risk areas Identify
teams to understand business problems, develop models that drives automation, predictive analytics, advanced external data providers. Design and implement data modelling, data mining, and machine learning algorithms maintain predictive and prescriptive analytical models to support decision-making and drive business value and data transformation to prepare data for modelling and analysis. Utilize data visualization techniques audiences. Continuously evaluate and optimize existing models, algorithms, and data sources to improve accuracy