Data Warehouse Business Analyst
Job details
A recent professional profile photo is to accompany your applicationEMPLOYMENT TYPE : PermanentSECTOR : AdminBASIC SALARY : R45 000START DATE : A.S.A.P / ImmediateREQUIREMENTS:3+ Years experience in a business analyst role, preferably in a formal data, data warehousing, or business intelligence environmentMicrosoft Office (Word, Excel, PowerPoint)Bachelor's degree in Computer Science, Information Technology, Business, or a related fieldProven experience as a business analyst in data warehousing projects.Strong understanding of data modelling concepts and techniquesDUTIES:Collaborate with business stakeholders to gather and document detailed requirements for data warehouse projectsUnderstand and analyse business processes to identify data-related needs and opportunities for improvementWork closely with end-users to define data requirements, ensuring they align with business goalsAssist in the design and development of data models that support business requirementsCollaborate with data architects and data engineers to create logical and physical data models for the data warehouseEnsure data models adhere to best practices and align with organizational standardsConduct data profiling and analysis on source systems to understand data quality, integrity, and relationshipsIdentify and document data anomalies, discrepancies, and patterns that may impact the effectiveness of the data warehouseCreate and maintain comprehensive documentation for data warehouse requirements, data models, and processesEnsure documentation is kept up-to-date and readily available for reference by both technical and non-technical stakeholdersFacilitate communication between business users and technical teams, translating business requirements into technical specificationsCollaborate with data engineers, ETL developers, and other stakeholders to ensure the successful implementation of data warehouse solutionsParticipate in the testing and validation of data warehouse solutions to ensure they meet business requirements and adhere to data quality standardsIdentify and address issues related to data accuracy, completeness, and timelinessProvide training and support to end-users on accessing and utilizing data warehouse solutionsAssist in the development of user documentation and training materialsStay informed about industry best practices, emerging technologies, and trends related to data warehousingProactively identify opportunities for process improvement and optimization of data warehouse solutionsHOURS:Mon Fri: 08:00 17:00
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