within the business to bring products to life. Work with customers and identify opportunities to support their strategy and improve their processes across functions. The Role: As a Database Modeller, you will design and develop data models, collaborate with stakeholders to translate requirements, analyze data quality, implement best practices, and lead data architecture discussions for both … operational and analytical needs. Your Responsibilities: Design and develop conceptual, logical, and physical data models that support both operational and analytical needs. Collaborate with business stakeholders to gather requirements and translate them into scalable data models. Perform data profiling and analysis to understand data quality issues and identify opportunities for improvement. Implement best practices for data modeling, including normalization, denormalization, and indexing strategies. Lead data architecture discussions and present data modeling solutions to technical and non-technical audiences. Mentor and guide junior data modelers and data architects within the team. Continuously evaluate data modeling tools and techniques to enhance team efficiency and productivity. Your Profile: Essential skills/knowledge/ More ❯
within the business to bring products to life. Work with customers and identify opportunities to support their strategy and improve their processes across functions. The Role: As a Database Modeller, you will design and develop data models, collaborate with stakeholders to translate requirements, analyze data quality, implement best practices, and lead data architecture discussions for both … operational and analytical needs. Your Responsibilities: Design and develop conceptual, logical, and physical data models that support both operational and analytical needs. Collaborate with business stakeholders to gather requirements and translate them into scalable data models. Perform data profiling and analysis to understand data quality issues and identify opportunities for improvement. Implement best practices for data modeling, including normalization, denormalization, and indexing strategies. Lead data architecture discussions and present data modeling solutions to technical and non-technical audiences. Mentor and guide junior data modelers and data architects within the team. Continuously evaluate data modeling tools and techniques to enhance team efficiency and productivity. Your Profile: Essential skills/knowledge/ More ❯
within the business to bring products to life. Work with customers and identify opportunities to support their strategy and improve their processes across functions. The Role: As a Database Modeller, you will design and develop data models, collaborate with stakeholders to translate requirements, analyze data quality, implement best practices, and lead data architecture discussions for both … operational and analytical needs. Your Responsibilities: Design and develop conceptual, logical, and physical data models that support both operational and analytical needs. Collaborate with business stakeholders to gather requirements and translate them into scalable data models. Perform data profiling and analysis to understand data quality issues and identify opportunities for improvement. Implement best practices for data modeling, including normalization, denormalization, and indexing strategies. Lead data architecture discussions and present data modeling solutions to technical and non-technical audiences. Mentor and guide junior data modelers and data architects within the team. Continuously evaluate data modeling tools and techniques to enhance team efficiency and productivity. Your Profile: Essential skills/knowledge/ More ❯
within the business to bring products to life. Work with customers and identify opportunities to support their strategy and improve their processes across functions. The Role: As a Database Modeller, you will design and develop data models, collaborate with stakeholders to translate requirements, analyze data quality, implement best practices, and lead data architecture discussions for both … operational and analytical needs. Your Responsibilities: Design and develop conceptual, logical, and physical data models that support both operational and analytical needs. Collaborate with business stakeholders to gather requirements and translate them into scalable data models. Perform data profiling and analysis to understand data quality issues and identify opportunities for improvement. Implement best practices for data modeling, including normalization, denormalization, and indexing strategies. Lead data architecture discussions and present data modeling solutions to technical and non-technical audiences. Mentor and guide junior data modelers and data architects within the team. Continuously evaluate data modeling tools and techniques to enhance team efficiency and productivity. Your Profile: Essential skills/knowledge/ More ❯
learning. Excellent problem-solving skills. Experience using a coding language to develop models and analytical tools. Experience manipulating and analyzing large, complex datasets. Desirable Experience & Skills Practical knowledge of data engineering practices (designing and building robust data pipelines) Knowledge of python and core libraries applicable to data science (e.g., pandas, numpy, statsmodel More ❯
