KPAs: Analytical Modeling: Translate business requirements into suitable analytical models, extracting trends to address short-term insurance metrics. Present model functionality to relevant stakeholders upon request oversee user-acceptance testing of Data Visualisation models. Administer the business intelligence management analytics reports, extracting insights from BI models for stakeholders. Stakeholder Engagement: Build
predictive models. Increase the profitability and efficiency of business units using predictive models and BI Experience in developing and implementing predictive models. Strong communication and presentation skills.
ensure database integrity, and develop custom data models. Key Responsibilities: Data Analysis : Analyze database technologies. Custom Data Models : Develop custom data models to apply to data sets. Automation:
BI (Including, but not limited to Ingestion, Modelling, Transformations and
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 - Documentation up to date and the maintenance of semantic model R 1000 - R 1001 - Annually
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 Please note only shortlisted candidates will be
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
architecture, design, and development
Data integrity management (financial models) Creating valuation models and investment recommendations Composing
Data integrity management (financial models) Creating valuation models and investment recommendations Composing