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.
business objectives.
Qualifications and Experi
data analysis, machine learning, and predictive modelling.
technologies including Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), Text-to-Speech systems Practical experience with Large Language Models (LLMs) Proficient in API integration and development Text-to-Speech (TTS), Speech-to-Text (STT), Large Language Models (LLMs), and integrating APIs Apply now For more
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
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
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
cross-functional teams to assess risk, develop models, and drive innovative solutions. Requirements: in a corporate setting Proficiency in actuarial modeling software (e.g., Prophet, AXIS) and programming
cross-functional teams to assess risk, develop models, and drive innovative solutions. Requirements: in a corporate setting Proficiency in actuarial modeling software (e.g., Prophet, AXIS) and programming
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