6 years of experience as an SAP CO Consultant. Hands-on experience with S/4 HANA CO configuration and position based in Cape Town with a hybrid working model of 3 days in the office and 2 days working from
solutions.
Designing and implementing predictive models to optimize customer segmentation, credit risk
analysis and machine learning algorithms, with hands-on experience applying them to real-world problems
and retrieval. Design, develop, and optimise data models, data pipelines, and data integration processes understanding of data architecture principles and data modeling concepts. Experience with Hadoop ecosystem and such as Python, Java, Scala, or related languages. Hands-on experience with ETL tools and data warehousing
architecture and requirements collaboratively. Craft data models and schemas tailored to meet business objectives frameworks like Snowflake, Databricks, or Apache Spark. Hands-on experience with cloud-based data platforms (AWS data architecture principles. Expertise in data modelling and database design. Understanding of data governance
experience within a BI development environment. Hands-on experience with T-SQL, SSIS, Data Warehousing data structures using best practices in data modelling, processes, and technologies. Performs data conversions
solutions. Designing and implementing predictive models to optimize customer segmentation, credit risk analysis and machine learning algorithms, with hands-on experience applying them to real-world problems
solutions. Designing and implementing predictive models to optimize customer segmentation, credit risk analysis and machine learning algorithms, with hands-on experience applying them to real-world problems
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
Warehouse (ODWH) or EDL (Enterprise Data Lake) or model produced from the EDL using existing ERP/IP system data:
Integrations, Automations, Data Management, Data Modeling. You will collaborate with the Business Intelligence various sources into an analytics-ready data model. This model will be built on the premise of growth as Leadership teams to develop a warehouse using data modeling best practices. Managing Integrations with other best practices and processes. Design agile data models. Implement meta-data driven ELT/ELT data pipelines actionable manner. Familiarity in data mapping, data modeling and data management Familiarity with Agile methodology