input in terms of benefits and risks. Preparing test data for testing of user stories Execute and/or support process owners. Preparing cut-over strategy, e.g., data migration. Go-live preparation and post go-live
provided documentation approach - Ensuring required data collection sheets are filled out - Considering business
to analyze and troubleshoot potential solutions. Data analytics and trend analysis Presentation skills
General AWS experience in the DataScience / big data context. Docker, & Kubernetes Experience, Expert
understanding of Business requirements. Create test data reflecting various scenarios. Develop systems solutions
Functional Specifications for them. Preparing test data for testing CRs (Change Requests). Testing CRs (Change
background beneficial. - Knowledge and adherence to data privacy requirements (advantageous). - Strong ability
documentation on central network etc)
across the organisation. Constantly examine financial data and leverage it to improve cost effectiveness. Ensure (KPIs) to track operational performance and make data-driven decisions to improve efficiency. Cross-functional
cause