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
BI (Including, but not limited to Ingestion, Modelling, Transformations and Cleansing, and DAX Expressions) and predictions. Aid in creating internal audit models and reports to identify risks and risk areas Identify Documentation up to date and the maintenance of semantic models Qualifications: Grade 12/Senior Certificate Tertiary BI (Including, but not limited to Ingestion, Modelling, Transformations and Cleansing, and DAX Expressions) and predictions. Aid in creating internal audit models and reports to identify risks and risk areas Identify
teams to understand business problems, develop models that drives automation, predictive analytics, advanced external data providers. Design and implement data modelling, data mining, and machine learning algorithms maintain predictive and prescriptive analytical models to support decision-making and drive business value and data transformation to prepare data for modelling and analysis. Utilize data visualization techniques audiences. Continuously evaluate and optimize existing models, algorithms, and data sources to improve accuracy
scorecards, frameworks and algorithm tuning Expose models and scorecards to other systems (API/Queue) Schedule (automation) Ability to identify the most relevant modelling approach based on the type of problem and available random forest, etc) Ability to train and maintain models Data cleaning and pre-processing (Size, data distribution including raw data) Experience in correctly applying model performance approaches in the context of the training training approaches taken (Classification Models, Confusion Metrix, etc) Qualifications & Experience:
Analyst and Data Architect/Modeller. Responsibilities: Prepares, transforms, models data and resolves conflicting transformation for predictive or prescriptive modeling. Responsible for technical testing services across Backend). Experience of relational and NoSQL data modelling approaches. Experience of at least one packaged packaged ETL tool. Technical expertise with data models, data mining, and segmentation techniques. Extensive Extensive hands-on experience with BW Data modelling and SQL database design. Data engineering certification
seasoned Senior Business Analyst. Hybrid working model followed 2 days at office 3 days remotely per week must be considered.
business requirements, through a structured process, modeling, validating and translating it into business requirement contract subject to renewal in a hybrid working model Business Analysis: Investigate operational requirements requirements . Negotiate acceptance criteria. Plan own modelling activities, selecting appropriate techniques and choice of the modelling approach to be used Obtain input from and communicates modelling results to senior all levels of the organisation Business Process Modelling/Engineering based on BPMN Business writing skills
Development Life Cycle models (Waterfall, Rapid Application Development, Spiral Model, Agile, etc.) required
and Datawarehouse Architecture development Data modelling including solid ETL, designing and building packages Warehousing / BI Development Experience with data modeling, data anlaysis, data profiling, data mapping and
experience SAP BW 7.5 Data Modelling and BEX skills are essential SAP BW4/HANA Data Modelling skills is essential