to design, prototype, and build next-generation analytic engines and services by applying strong expertise business requirements and translate them into analytical reporting solutions. Develop actuarial / statistical insights into member behaviour. Employ advanced data analytics and machine learning techniques to detect fraudulent
credit policies, credit queues and affordability analytics Define strategy to enable business use of predictive Implement processes to ensure Bureau and Industry analytics are conducted Implement, monitor and validate
business requirements and priorities. Provide analytical support and insights to assist in the development or training in Excel Proven experience in Data Analytics, preferably within the ICT or insurance sector
Machine learning Google cloud Google Certs (Google analytics) The Reference Number for this position is NG59144
models to transform data from source to target for analytical purposes (Business Objects/Data Lakes) and migration
communication, sustainable solutions, and customer analytics, and prioritize client satisfaction in all that
SQL, Analysis Services, Power BI, Azure Synapse Analytics) Production experience working with DAX modelling
Qualitative and Quantitative research experience Analytical skills and proficiency in related tools (e.g