KPA's: 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.
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
additional responsibility assigned in the Agile Working Model (AWM) Charter
Advantageous
collaboration
Application of the Agile Working Model Methodology
Management Database (CMDB), configuration item data models and relations.
Lead Automation Engineer Location: Sandton Working Model is Hybrid Required Experience as follows: ISTQB
SQL Data Warehouse (a plus). Predictive data modelling (a plus). Responsibilities: Research and analyze
dependencies and interfaces, and create reporting models. Testing: Ensure the quality of products delivered
(TFS) would be advantageous Knowledge of UML modelling techniques beneficial Service Oriented Architecture
projects related to analytics, such as predictive modelling, workforce planning, or diversity and inclusion