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.
Experience in developing and implementing predictive models. KPA's: Acquire business insights from diverse and effectiveness. Design and execute predictive models to anticipate future trends and outcomes. Drive within targeted business units through predictive modeling and BI reporting. Streamline operations within
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
limits. Responsibilities: Analytical Modeling - create analytical models Operational Support - provide support decision making. Statistical Analysis., Data modelling. Review and Reporting Provide technical guidance
experience in developing and implementing predictive models. Key Performance Areas (KPAs): Uncover hidden treasures further. Captain your ship through stormy predictive model seas, anticipating future trends and outcomes with shores of profitability growth, using predictive modeling and BI reporting as your map and compass. Streamline
deliverables, and design and develop reporting models based on business needs. Change or modify existing existing reports as needed Enjoy a Hybrid work model and only come into office twice a week. Skills: Experience
creative Principal Engineer to work on a hybrid model, in their Cape Town offices. This is the perfect offer: Salary based on experience Hybrid working model Flexible work and leave schedule Professional development
quantitative model building and data analytics. Experience with machine learning model deployment and
quantitative model building and data analytics. Experience with machine learning model deployment and