seasoned Senior Business Analyst. Hybrid working model followed 2 days at office 3 days remotely per week seasoned Senior Business Analyst. Hybrid working model followed 2 days at office 3 days remotely per week that must be considered. Employ a variety of modelling techniques to analyze, confirm and communicate diagram, use cases, solution context, domain and data models, business process diagrams, activity diagrams, Product Requirements Specification (PRS) Analysis models Solution Proposal Technical Rule Configuration
managing the Data Architecture landscape.
Data modelling and to assist when working with complex Data and
architecture, Data Warehousing, Data Integration, Data Modelling, Data Governance, Master Data Management, SAP
structured and unstructured data sets. Responsibilities: Model complex business problems, discovering insights intelligent automation and predictive modelling. Build machine learning models from and utilises distributed Kafka. Provide input into Data management and modelling infrastructure requirements and adhere to the Ensure business integration through integrating model outputs into end-point production systems, are understood Measure proficiency in using the diagramming and modelling techniques vital for requirements analyses. Qualifications
vulnerabilities. Develop and maintain fraud detection models that are both accurate and minimize disruptions Optimizing Detection Models: Continuously review, analyze, and improve core models used to detect fraud legitimate transactions. This involves adjusting models and thresholds based on factors like desired alert Integrate new data sources when needed to improve model effectiveness. Assist data engineering efforts to data analysis. Experience applying statistical modelling techniques to solve complex problems. Familiarity
vulnerabilities. Develop and maintain fraud detection models that are both accurate and minimize disruptions Optimizing Detection Models: Continuously review, analyze, and improve core models used to detect fraud legitimate transactions. This involves adjusting models and thresholds based on factors like desired alert Integrate new data sources when needed to improve model effectiveness. Assist data engineering efforts to data analysis. Experience applying statistical modelling techniques to solve complex problems. Familiarity
Development Life Cycle models (Waterfall, Rapid Application Development, Spiral Model, Agile, etc.) required
integrity management (financial models)
responsibilities include:
Auto CAD (heavy user) and Creo (Advanced part modelling, assembly, piping, drawing, sheet metal) Knowledge and create Creo CAD models when required. Create Draft BOMs for created new model coolers. Checking the
includes drawings and CNC programs Modeling of new wheels as 3D solid models using CAD packages such as Pro/Engineer requirements Creating tool paths from the 3D solid model for the manufacturing of electrodes and for high