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.
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
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
Gulp or Grunt Knowledge of UX/UI and SEO KPAs: Model and implement aesthetic user interface Identify
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
strong knowledge of logical and physical data modeling concepts Responsibilities: Business analysis to
understanding of software development life cycle models. Experience with SCRUM/Agile methodologies in enterprise-level