services at people who do not have easy access to bank accounts, and we allow them the convenience of being resources, including infrastructure, applications, and data. An enterprise architecture (EA) is a conceptual
software solutions to Capital Markets systems for banks across the world? You'll work on dynamic projects
completing relevant surveys Identify risks according to bank and departmental policies and take corrective action deliver solutions. Designing scalable and secured data solutions and integration patterns. Requirement Certified: Azure Developer Microsoft Certified: Azure Data Fundamentals Microsoft Certified: Cybersecurity systems Banking knowledge Banking procedures Business principles Business terms and definitions Data analysis
stakeholders to shape data architecture and requirements collaboratively Craft data models and schemas tailored appropriate data storage solutions, including relational databases, data warehouses, data lakes, and MS Lead the implementation of data governance policies and standards Uphold data quality and integrity across organisation Ensure adherence to data security and privacy regulations Share data architecture strategies with strategic planning and technology selection for data and analytics initiatives Bachelor's degree in Computer
CRM strategy and maximizing the value of customer data within the organization. CRM Strategy and Roadmap integration with existing systems Customize CRM workflows, data fields, reports, and dashboards to support sales optimize CRM system performance, usability, and data quality through regular updates and enhancements system Data Management and Analysis Define data governance policies and procedures to ensure data accuracy CRM platform Implement data quality controls, deduplication processes, and data enrichment strategies
business. ENVIRONMENT: PLAY a pivotal role in driving data-driven decision-making within the organisation of for gathering, analysing, and interpreting complex data sets to provide actionable insights that will inform methodologies. You will also need proven experience in BI, Data Analysis, or a related role - Product Owner/Scrum in SQL for data extraction and manipulation, Tableau and Power BI or similar. DUTIES: Data Collection Collection and Analysis - Gather and consolidate data from various sources, including databases, spreadsheets,
specialist firm is on the lookout for a dynamic Senior Data Engineer to spearhead the creation and implementation technologies. If you're a seasoned expert in finance and data with a drive for innovation, seize this chance to driving force of innovation and excellence as a Senior Data Engineer. Don't miss out on this thrilling opportunity—apply to new heights Experience and knowledge Excellent data analysis and exploration using T-SQL, and strong procedures, functions) Knowledge and experience of data warehouse modelling methodologies Experience in
prominent IT company, is seeking employ an experienced Data Centre Infrastructure - Electrical Engineer to join visionary in the provision of innovative ICT and Data Center infrastructure solutions. Requirements: At relevant industrial and commercial experience with a Data Center Infrastructure skill set. At least 2 years' Design and Consulting experience with preferably Data Centre Infrastructure and ICT environment. Architectural OEM Certifications (APC, Emerson, etc – Certified Data Centre Design Engineer and relevant product certification
actionable insights and recommendations. Utilize data visualization tools to create dashboards and reports experience in business analysis, data analysis, or a related field. Proficiency in data manipulation and analysis report writing . SDLC experience Experience with data visualization tools. Strong analytical and problem-solving problem-solving skills, with the ability to translate data into actionable insights. Excellent communication
Investigations: Analyse policyholder experience data to assess mortality, lapse, and other key assumptions requirements. Data: Perform regular data reconciliation exercises to ensure consistency and accuracy of data used discrepancies or inconsistencies in data sources to maintain data integrity. Sales Channel Support: Provide intervention. Identify opportunities for automation in data processing, modelling and reporting. Requirements: