deploying BI solutions (e.g., data warehousing models) and creating visualizations and reports for requested SSRS, Excel
communicating business-process-related knowledge through modelling, simulating, and analyzing current and future experience in applying formal business process modelling or business analysis methodologies A deep understanding organization is essential Experience in applying process modelling standards such as BPMN and ECP Knowledge of and of design specifications Understanding of data modelling and the ability to perform basic SQL database
statistical models and algorithms for actuarial assessments • Use of predictive modelling techniques to healthcare analytics. • Implement machine learning models to improve risk assessment and decision support healthcare and actuarial space, AI, and predictive modelling. • Contribute to research and development projects plus. • A keen interest in AI and predictive modelling, with the ability to apply these technologies
statistical models and algorithms for actuarial assessments • Use of predictive modelling techniques to healthcare analytics. • Implement machine learning models to improve risk assessment and decision support healthcare and actuarial space, AI, and predictive modelling. • Contribute to research and development projects plus. • A keen interest in AI and predictive modelling, with the ability to apply these technologies
(Informatics) - Essential
business objectives.
Qualifications and Experi
data analysis, machine learning, and predictive modelling.
requirements, and through a structured process, modelling, validating, and translating it into business using alternative views such as flows, diagrams, models, and use cases when applicable. Business Process
and Optimisation. Database Management Create Data Models in a Structured data format to enable analysis components of the data tables, data queries and data models. Identify valuable data sources and automate collection
Warehouse. Provide world class services in the modelling, design, development, preparation, implementation data processing systems; Database design, data modelling and Data Warehousing experience; Good understanding