specifications. Design, build and deploy BI solutions (e.g., data warehousing models) Evaluate and improve existing technical documentation. Client Data Support Maintain and support data analytics platforms. Conduct unit skills Background in data warehouse design (e.g., dimensional modelling) and data mining In-depth understanding Azure Synapse Azure Analysis Service Azure SQL Azure Data Factory Integration Runtime Understanding of ERP
changes to clients, users, interfaces, processes, data flows, constraints as well as non-functional requirements Develop an in-depth understanding of underlying data sources, data structures, and business use cases to ensure changes to clients /users, interfaces, processes, data flows, constraints as well as non-functional requirements Develop technical documentation for reports, including data sources, logic, processes, and limitations. Work of relational database systems, logical/physical data modelling Experience with ETL tools such as SSIS
Develop and maintain data models, reports, dashboards, and visualisations Ensure data accuracy, consistency consistency, and integrity in all BI solutions Perform data analysis and provide insights to support decision-making queries Strong communication skills to help turn data into actionable insights and planned execution Proven
candidate will be involved in automating data extraction, processing data and performing advanced analytics analytics on underwriting and in-force data sets. Key Performance Areas Automation of life assurance processes:
Collect data from various sources and assess the completeness and accuracy of the data Perform data analysis
2008. As an expert in the real-time transport of data, they are a partner of the automotive and aviation and operating systems. Experience with algorithms/data structures knowledge Good OOP knowledge Software
illustrations and patterns. Troubleshooting and monitoring Data mapping Applications & integration security
requires a strong understanding of financial systems, data analysis, and business process optimization. The Proficiency in financial software and tools Excellent data analysis and reporting skills Ability to collaborate
user acceptance test Prepare test scenarios Perform data migration for existing customers migrating to the in a team environment Strong computer skills and data analysis Excellent interpersonal and communication
valuations, embedded value and business planning. Modify data processes (DCS or SQL) to maintain system integrations Years of Actuarial Experience in Systems Expert in Data and Model Management Life Insurance Experience IFRS17