data
security regulations and API integrations. Craft data models and schemas tailored to meet business objectives
functions) Knowledge and experience of data warehouse modelling methodologies Experience in using MS SSIS and designing solutions and good knowledge of data modelling concepts Experience of working in a team following
and also perform test execution as required. Modelling business problems as entity relationships. Creating Adept in the use of spreadsheets. Capable of modelling information and scenario analysis. Market related
Strong understanding of CRM data models, workflows, security models, and APIs. Experience with web development
Lead Automation Engineer Location: Sandton Working Model is Hybrid Required Experience as follows: ISTQB
risk standards, performing relevant financial modelling for transaction execution, researching, analysing Services /Transaction Diligence / Valuations, Modelling & Economics /transaction advisory/ Infrastructure
BI and AI Development Life Cycles
Data, BI and AI Development Life Cycles Data modelling Solution architecture principles and artefacts : Banking systems environment Banking business model Best practices for Quality Assurance (QA) Skills
ramifications that impact cost of goods and services in models. Create tools that can be leveraged to enhance impact on companies spend base. Develop price index models for commodities and commodity groups to offer insights