Data Warehouse Business Analyst Lead
1 month ago
**Data Warehouse Business Analyst Role**
At Scholtz Partners International Pty Ltd, we are seeking a skilled Data Warehouse Business Analyst to bridge the gap between business needs and technical solutions within our data warehousing environment.
Responsibilities
• Collaborate with business stakeholders to gather and document detailed requirements for data warehouse projects.
• Analyze business processes to identify data-related needs and opportunities for improvement.
• Work closely with end-users to define data requirements, ensuring they align with business goals.
Data Modelling
• Assist in the design and development of data models that support business requirements.
• Collaborate with data architects and data engineers to create logical and physical data models for the data warehouse.
• Ensure data models adhere to best practices and align with organizational standards.
Data Profiling and Analysis
• Conduct data profiling and analysis on source systems to understand data quality, integrity, and relationships.
• Identify and document data anomalies, discrepancies, and patterns that may impact the effectiveness of the data warehouse.
Documentation
• Create and maintain comprehensive documentation for data warehouse requirements, data models, and processes.
• Ensure documentation is kept up-to-date and readily available for reference by both technical and non-technical stakeholders.
Communication and Collaboration
• Facilitate communication between business users and technical teams, translating business requirements into technical specifications.
• Collaborate with data engineers, ETL developers, and other stakeholders to ensure the successful implementation of data warehouse solutions.
Quality Assurance
• Participate in the testing and validation of data warehouse solutions to ensure they meet business requirements and adhere to data quality standards.
• Identify and address issues related to data accuracy, completeness, and timeliness.
Training and Support
• Provide training and support to end-users on accessing and utilizing data warehouse solutions.
• Assist in the development of user documentation and training materials.
Continuous Improvement
• Stay informed about industry best practices, emerging technologies, and trends related to data warehousing.
• Proactively identify opportunities for process improvement and optimization of data warehouse solutions.
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