warehousing projects. Strong understanding of data modelling concepts and techniques. Proficiency in SQL and for improvement. Data Modelling Assist in the design and development of data models that support business data engineers to create logical and physical data models for the data warehouse. Data Profiling and Analysis documentation for data warehouse requirements, data models, and processes. Ensure documentation is kept up-to-date
warehousing projects. Strong understanding of data modelling concepts and techniques. Proficiency in SQL and for improvement. Data Modelling Assist in the design and development of data models that support business data engineers to create logical and physical data models for the data warehouse. Data Profiling and Analysis documentation for data warehouse requirements, data models, and processes. Ensure documentation is kept up-to-date
involves developing and refining rules and statistical models to enhance contractability and improve recovery optimization. Rule and Model Development : Create and manage rules and models for identifying optimal problem-solving abilities, experience with data modelling and data warehousing, knowledge of data quality
involves developing and refining rules and statistical models to enhance contractability and improve recovery optimization. Rule and Model Development : Create and manage rules and models for identifying optimal problem-solving abilities, experience with data modelling and data warehousing, knowledge of data quality
in developing, implementing, and optimizing AI models and algorithms that support our business objectives effectively. Key Responsibilities: Develop and deploy AI models and algorithms to address business challenges. solutions. Monitor and evaluate the performance of AI models, making improvements as needed. Stay current with statistical analysis, data mining, and predictive modeling. Excellent problem-solving skills and attention
in developing, implementing, and optimizing AI models and algorithms that support our business objectives effectively. Key Responsibilities: Develop and deploy AI models and algorithms to address business challenges. solutions. Monitor and evaluate the performance of AI models, making improvements as needed. Stay current with statistical analysis, data mining, and predictive modeling. Excellent problem-solving skills and attention
in developing, implementing, and optimizing AI models and algorithms that support our business objectives effectively. Key Responsibilities: Develop and deploy AI models and algorithms to address business challenges. solutions. Monitor and evaluate the performance of AI models, making improvements as needed. Stay current with statistical analysis, data mining, and predictive modeling. Excellent problem-solving skills and attention
in developing, implementing, and optimizing AI models and algorithms that support our business objectives effectively. Key Responsibilities: Develop and deploy AI models and algorithms to address business challenges. solutions. Monitor and evaluate the performance of AI models, making improvements as needed. Stay current with statistical analysis, data mining, and predictive modeling. Excellent problem-solving skills and attention
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
responsibilities assigned in the Agile Working Model (AWM) Charter ADVANTAGEOUS SKILLS REQUIREMENTS: experience Architecture: Cloud, On-prem, hybrid, data modelling, SW-Architecture QUALIFICATIONS / EXPERIENCE NEEDED: