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    Data Warehouse Business Analyst - Cape Town, South Africa - Scholtz Partners International

    Scholtz Partners International
    Scholtz Partners International Cape Town, South Africa

    Found in: Trabajos Diarios ZA C2 - 6 days ago

    Default job background
    Permanent
    Description

    Brief description of the vacancy:

    To play a crucial role in bridging the gap between business needs and technical solutions within the realm of data warehousing.

    This role involves understanding business requirements, analysing data sources, and collaborating with stakeholders to ensure the effective design, development, and maintenance of data warehouses.

    To serve as a liaison between business users and technical teams to ensure that data warehouse solutions align with organizational objectives.


    Experience required:

    • 3+ Years experience in a business analyst role, preferably in a formal data, data warehousing, or business intelligence environment
    • Proven experience as a business analyst in data warehousing projects

    Qualifications required:

    • Bachelor's degree in Computer Science, Information Technology, Business, or a related field.

    NQ7 Computer Skills required:

    • Strong understanding of data modelling concepts and techniques.
    • Proficiency in SQL and knowledge of database systems will be advantageous Key Responsibilities (KPI's) Requirement Analysis
    • Collaborate with business stakeholders to gather and document detailed requirements for data warehouse projects.
    • Understand and analyse 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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