are seeking an experienced and dynamic Business Analyst preferably with a strong background in using Salesforce have an understanding of systems architecture and data structures Experience in writing technical requirements
with organizational goals. Lead a team of dialler analysts. Oversee the selection, implementation, and management risks associated with dialler operations, including data security risks, compliance violations, and technological
experience with B.I. tools Strong background in data warehouseing, SQL and ETL processes Experience with Machine Learning technologies (coding) Proficient in data visualization and reporting techniques DUTIES: Enhance capabilities to optimize operations and drive data-driven decision making Data analysis and reporting Lead initiatives technologies into B.I. framework Data management - data integrity, data warehousing solutions and ETL processes processes / Optimizing data storage and retrieval Work at strategic level to identify B.I. and A.I. needs
classes including Business Continuity, Third-Party, Data, Model, Fraud, and Technology (cyber or information outsourcing and third-party engagements. Implement robust data governance and model risk management practices to accuracy, completeness, and reliability of bank data and modelling processes. Lead the fraud risk management record of managing Business Continuity, Third-Party, Data, Model, Fraud, and Technology risks. Deep knowledge
classes including Business Continuity, Third-Party, Data, Model, Fraud, and Technology (cyber or information outsourcing and third-party engagements. Implement robust data governance and model risk management practices to accuracy, completeness, and reliability of bank data and modelling processes. Lead the fraud risk management record of managing Business Continuity, Third-Party, Data, Model, Fraud, and Technology risks. Deep knowledge
be working on projects such as Network Security, Data mining and Visualization etc. Requirements: • BSc
Microsoft Dynamics 365 system. Perform data migration and data integration tasks to ensure seamless transition
stakeholders as to minimize losses. To analyse data in order to identify exceptions, deviations, trends exception reporting to relevant stakeholders on data trends and exceptions To ensure effective streamlined
stakeholders as to minimize losses. To analyse data in order to identify exceptions, deviations, trends exception reporting to relevant stakeholders on data trends and exceptions To ensure effective streamlined
standards to ensure the highest level of system and data security. Maintain up-to-date knowledge of emerging