and experienced Data Modeler to join our dynamic team at iOCO. As a Data Modeler, you will play a crucial in designing, implementing, and maintaining data models that facilitate efficient storage, retrieval, and requirements and translate them into robust data models.
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What you’ll do:models to support business requirements and data analysis
requirements and translate them into effective data models.
Exciting opportunity for a BI Analyst Modeller. The primary responsibility of the IT Management Information
you'll also be an integral part of our Agile Working Model (AWM) Charter, taking on additional responsibilities balance
energized, all with a view to stimulate creativity and promote a shared purpose to serve our clients with excellence analysis & design • UML modelling (e.g. Archimate) Skills TOGAF 9 or 10 Modelling experience in EA tools
both predictive and prescriptive machine learning models that will assist with increasing strategic and and recommendations based on data analysis and modeling concluded and where relevant with knowledge and and Kafka Coach and mentor other data scientists Promote data literacy with your business stakeholders by
persuasive with stakeholders. An ability to market and promote the service desk and to advocate for necessary effectively while setting the tone of the team through modeling and leadership. Requires matric with Maths Higher
translated into technical requirements. Identify and promote optimisation, re-use and standardisation opportunities developing process flows. Data modelling experience Knowledge of data modelling and data visualisation tools responsibilities assigned in the Agile Working Model (AWM) Charter QUALIFICATIONS/EXPERIENCE: BA/BS Degree
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Communicating prioritised data-driven analyses, modelling, and algorithms. The incumbent manage complex quantitative analytics, statistical analyses, modelling, and machine learning algorithms, as well as data Sustaining High-Quality Data Analyses, Analytics, Modelling, and Algorithms Conducting exploratory data analyses advanced data models (incl. predictive models) and algorithms Using analyses and models to Find and/or inferences Using machine learning for predictive modelling, classification, and clustering Performing &
procedures, products and advanced mathematical models that provide analytical support and interpret insights machine learning models; develop cutting-edge data science and machine learning models that drive business science, communicating data, domain modelling, predictive modelling, advanced analytics, Research and AI science and machine learning models to business problems, ensuring that models are integrated into products