Data Warehouse Business Analyst Lead

1 month ago


Cape Town, Western Cape, South Africa Scholtz Partners International Pty Ltd Full time

    **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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