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:
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
architecture experience Data Vault and dimensional modelling techniques SQL experience Big data experience
Gulp or Grunt Knowledge of UX/UI and SEO KPAs: Model and implement aesthetic user interface Identify
Responsibilities: Analytical Modeling: Translate business requirements into analytical models to identify trends
(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
SQL Data Warehouse (a plus). Predictive data modelling (a plus). Responsibilities: Research and analyze