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  • Data Modeller - Johannesburg - Boardroom Appointments

    Boardroom Appointments
    Boardroom Appointments Johannesburg

    1 week ago

    Boardroom Appointments background
    Description

    To provide expertise, advice and support by designing and developing logical and physical data models and databases that meet the organisation's information systems and business requirements.

    The Data Modeller is responsible for data standards, procedures, warehousing, distributed data management, and information management functions.

    Duties and Responsibilities:

    • Optimise operational efficiency and suggest solutions to enhance cost-effectiveness.
    • Identify process improvements to save costs.
    • Monitor potential risks that may lead to increased costs and escalate them if necessary.
    • Deliver against operational and cost targets.
    • Maintain shared company values and service standards when interacting with customers.
    • Resolve customer dissatisfaction/complaints by taking ownership of the issue.
    • Analyse customer feedback to improve customer service.
    • Ensure timely and accurate delivery of products or services.
    • Provide technically accurate product knowledge and advice.
    • Understand customer needs to deliver a quality service.
    • Propose ideas to improve customer service.
    • Maintain internal and external data dictionaries and business glossaries.
    • Update logical and physical data models to support new and existing projects.
    • Evaluate source-to-target mappings against requirements.
    • Maintain ETL and business rules within the data model.
    • Maintain model-related metadata.
    • Develop best practices for naming conventions and coding standards.
    • Identify opportunities for data model reuse in new environments.
    • Collaborate with data transformation teams on model design and development communication.
    • Review modifications to data modeling software to improve efficiency and performance.
    • Manage information flow between departments using the data model design.
    • Verify transformation rules are accurate and consistent.
    • Validate business data objects for accuracy and completeness.
    • Evaluate data models and physical databases for variances and discrepancies.
    • Address personal development gaps through effective activities.

    Qualifications and Experience:

    • Bachelor of Science or Commerce degree
    • Honours degree with a focus in Information Management

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