Financial Analyst Developer (SQL) to join its Fund Data Services Team where you will conduct new feature hedge fund, and other investment business data and data automation requirements including Unitisation Investment Accounting, Fund Factsheets, and other fund data service solutions as an Analyst and Developer. The frameworks & exposure to financial calculations and Data Analysis in a software environment. DUTIES: Analyse problems using technology. Strong SQL Server and data structure skills. Building financial solutions in
They have listed example technologies used for each part of the stack. The more apps you've built using the Location API, Odoo CRM Containerization: Docker Data Storage: MySQL Cloud Providers: AWS, Google Cloud Flutter API: REST API Frameworks: Flutter Material Data Storage: SQLite Cloud Providers: Firebase, AW REQUIREMENTS: necessary; be heads-down and results focused. Work as part of a team and collaborate with your peers on a codebase
budgets and managing Supplier accounts (a lot of Excel data). The successful incumbent must have a tertiary industry. You also need to have strong work ethic, time management and be very proactive. While we would
internal resources to deliver projects on scope, on time and on budget. DUTIES: Analyse business processes Utilize SQL and database understanding to support data analysis and migration tasks. Conduct user training Years Project Management Odoo Functional Knowledge Data Analysis User Training Change Management SQL and and Database Understanding Customisation Awareness Data Migration Experience Testing and Quality Assurance
CoPilot testing, Data Scientist Cohorts and AI advancements. You will spend time using CoPilot together Workstreams and report/manage against those OKRs. Spend time using CoPilot together with Microsoft Tools like the workstream tasks. Technical Curiosity - Spend time reading articles and keeping abreast of developments
& AWS. DUTIES: Work alongside the team and be a part of the full Software Development Life Cycle. Build React, TypeScript. Backend: Python, TypeScript, PHP. Data: MongoDB, PostgreSQL, MySQL. Infra: AWS Lambda,
Changes). Ensure that issues are resolved in a timely manner to meet defined SLA targets. Own and drive builds/moves/additions and change requests from time to time when appointed resources for this role are not beneficial. Experience working with databases and data models beneficial. Qualifications: Matric certificate
globally. The ideal candidate should have expertise in data integration, process automation, and product support reviews. Apply appropriate fixes to applications or data whilst adhering to production change standards Build experience. An understanding of data and systems architecture. Experience in Azure Data Factory, Microsoft Azure
ensuring a delightful user experience. Integrate data from various sources (e.g., SharePoint, Power BI) using Power Automate. Develop data models and reports using Power BI for data visualization. Test, debug Implement robust security measures to protect sensitive data. Ensure compliance with industry standards and regulations
employee's times and provide backup support. Interact with internal and external customers. Provide data and