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 within the architecture framework to meet business needs. Data Collection and Analysis: Conduct research analytics reports, extracting insights from BI models for stakeholders. Stakeholder Engagement: Build
team. This role involves developing analytical models and data visualizations to support business decision-making Responsibilities: Create and maintain analytical models and data visualizations. Provide operational support with stakeholders to understand and address their needs. Qualifications: Grade 12 / SAQA Accredited Equivalent
analyzing data to determine company or business unit needs. Key Responsibilities: Gather business intelligence 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:
Responsibilities: Analytical Modeling: Translate business requirements into analytical models to identify trends relationships across the business to understand and address needs and concerns. Improvement/Innovation: Continuously
Gulp or Grunt Knowledge of UX/UI and SEO KPAs: Model and implement aesthetic user interface Identify
and deploy a robust cloud-centric cybersecurity model. Deploy and manage IT Security technologies and client audits and assessments. Support the strategic needs of the IT department. Protect electronic data processed
and deploy a robust cloud-centric cybersecurity model. Deploy and manage IT Security technologies and client audits and assessments. Support the strategic needs of the IT department. Protect electronic data processed
(TFS) would be advantageous. Knowledge of UML modelling techniques beneficial Service Oriented Architecture
/ machine learning techniques Validate and test models Review and update data science policies Apply now