clients in form of solution conceptualisation, modelling, design, and implementation of client focused coordination, project management, commercial modelling, solution implementation, solution stabilisation financial decision-making through advanced analytical modelling, using large sets of data. • The secondary focus solutions using appropriate fleet and network design modelling. • Driving “cost to serve” optimisation by principals or supply chain environment • Advanced Excel modelling and analytical skills • Advanced skills in Power
projects.
structures and develops long term sustainable data models. Collaborate with business stakeholders to understand effective BI solutions. Design and develop data models to support reporting and analytics. Create and and maintain logical and physical data models for BI applications. Develop Extract, Transform, Load (ETL) confidentiality. Document BI solutions, including data models, ETL processes, and report specifications. Create Analysis Services), Power Pivot. Strong Dimension Modeling experience. Experience in handling heterogeneous
unstructured text data) to find patterns, build models to address business problems, and present information business and information needs. Building predictive models and machine-learning algorithms to answer critical patterns and perform forecasts through intelligent models. Collaborate with the Data Visualization Team to non-technical audiences Solid theoretical predictive modelling, mathematical and statistical skills. Proficient
enterprise architecture frameworks and business process modeling. Strong understanding of network architecture Systems analysis and design UML or equivalent modelling language Technical Test Plan Design IT systems understanding of: Bank's systems environment Bank business model Best practices for Quality Assurance (QA) Object
enterprise architecture frameworks and business process modeling. Strong understanding of network architecture Systems analysis and design UML or equivalent modelling language Technical Test Plan Design IT systems understanding of: Bank's systems environment Bank business model Best practices for Quality Assurance (QA) Object
data-related solutions (Data Warehouse, Reports, Tabular Models, etc.) Pro-actively generate and implement process Documenting and refining technical requirements Data modeling requirements Source to target mappings and documentation
warehousing projects and a strong understanding of data modelling concepts and techniques Qualifications: Bachelors their knowledge KPA's: Requirement analysis Data Modelling Data profiling and analysis Documentation Quality
engineering, data preparation, development of statistical models, strategy development, monitoring and tracking
engineering, data preparation, development of statistical models, strategy development, monitoring and tracking