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  • Posted: Jul 31, 2024
    Deadline: Not specified
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    Imagine a world where people live healthier, more enhanced and protected lives… A world in which each organisation is a powerful influencer and responsible corporate citizen, committed to being a force for social good. As a leading innovator in healthcare, wellness, insurance, investments, financial and life planning, Discovery works ceaselessly to...
    Read more about this company

     

    Data Specialist

    Key Purpose

    To own and orchestrate the flow of “data products” within the organization. Data products can be data sets that are generated by VN, additional datasets that flow into or out of the organization, or derived outputs such as analytics and reports. This role ensures that such data products are successfully produced, transferred, maintained and evolved over their lifetime. An additional responsibility is to design, commission and interpret internal reporting to facilitate the correct response in the organization.

    Areas of responsibility may include, but not limited to:

           Data Gathering

    • Gather data from various sources, including commercial, technical, and operational databases.

    Data Provisioning for Markets

    • Work with Partner Markets to help them achieve preparedness for ingestion of data extracts; collect and redirect any issues found into the appropriate technical teams; ensure that any fixes are properly understood, tested, and disseminated
    • Collaborate with existing Partner Markets and internal teams to investigate, troubleshoot and remediate any data extract issues
    • Conduct discussions and requirements gathering with Partner Markets to understand their current data needs, including their existing data analytics roadmap, if any.
    • Develop plans for creation of a BI portfolio and roadmap that serves the needs of Partner Markets
    • Assist with development of business information, in response to requirements from Partner Markets as well as internal stakeholders. Feed back into technical and other teams if the data is insufficient to achieve the necessary results; ensure that data sets are suitable for all possible reporting within the organization
    • Ensure that markets understand the requirements for two-way flow of data, and that these requirements are correctly implemented.

    Developing new Data Products

    • Work in a team structure with VG stakeholders to establish and document internal BI requirements
    • Become involved in projects that produce mobile app analytics, including the use of tools such as Google Analytics
    • Input into the development of data science and machine learning models that are able to add analytical and product development value

    VG Data Strategy

    • Establish/lead/participate in initiatives that develop new avenues for the use of data within the larger VG ecosystem. This may include coordination of activities with third parties
    • Help identify existing or potential data sets within the extended ecosystem of VG and its clients that enhance the existing data proposition
    • Work with extended teams to assess and address issues related to data quality
    • Interpreting of Internal Data and Allocation of Responsibilities
    • Design, commission and interpret BI reports requirements that reflect the performance of the organization with respect to software development, deployment of software assets, software quality and problem resolution
    • In response to the above reports, work with internal stakeholders to track responses to any issues and any other aspects that require follow-up

    Personal Attributes and Skills

    • Action-Orientated
    • Financial Acumen
    • Values Driven
    • Optimistic
    • Learns on the Fly
    • Resilient
    • Instils Trust
    • Drives Results
    • Problem Solver
    • Effective communicator

    Education and Experience

    Education:

    • Bcom degree - Computer science, information systems, data science, data warehousing degree/diploma or related

    Experience:

    • 8-12 years’ experience in data analytics, data strategy, data warehousing, BI
    • Advantageous: Product or program management, data science, program/product management
    • SQL, Power BI, AWS Cloud Platform, Data Warehousing, Report & Visualizations, MS Office & Related
    • Advantageous: Databricks, Python and Google Analytics

    Method of Application

    Interested and qualified? Go to Discovery Limited on careers.discovery.co.za to apply

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