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  • Posted: Jan 13, 2021
    Deadline: Not specified
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    Founded in 1915, Naspers is a global internet and entertainment group and one of the largest technology investors in the world. Operating in more than 130 countries and markets with long-term growth potential, Naspers builds leading companies that empower people and enrich communities. It runs some of the world’s leading platforms in internet, video en...
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    Group Finance Systems and Data Specialist

    As part of the broader Group Finance systems team, your responsibilities will stretch from supporting the FP&A team (andother group finance functions) on OneStream, including maintaining, developingand building out functions in OneStream, as well as working on projects stretching from AI/ML initiatives for group finance to developing and maintaining the data strategy at groupfinanceand other finance transformation initiatives.

    Key Outputs:

    • OneStream: Learn about OneStream as we build out the application at group level:
      • How data flows to OneStream
      • What the data is used for in OneStream
      • Exploring and pushing the limits on reporting capabilities
      • Assist in building of OneStream reports and dashboards while considering how this interfaces with the data strategy
      • Constantly explore new functionalities that will drive efficiency within group finance, with a specific focus on FP&A
      • Explore how AI can be interfaced with OneStream
    • Data strategy: Set up a data strategy at for Nasper/Prosus group finance and group FP&A level. Ultimately the principle is to put the right data in the hands of the right people, largely by empowering users through providing self-service dashboards in OneStream and therefore drive business agility.
      • We want to empower people to ask and answer their own questions with data.
      • Be a champion for open communication channels and build relationships across the group to truly understand what the data strategy should cover.
      • The data strategy should support seamless, timeous and to the point reporting on financial results and encourage the right discussions at the right levels.
      • Ensure that data is accurate, trusted, and secure. Therefore, designing and maintaining good governance processes to build on the already robust financial processes in place.
    • AI and ML forecast model: The base for an automated forecast model have been laid with a proof of concept on the subject. As part of this role you will need to maintain and, together with specialists in the AI/ML field, build the model out. Maintaining the model will include managing the data that flow through to the model, therefore making the link to the data strategy crucial.
    • The data management responsibilities will include:
      • Looking at the data that is currently available and being utilized in the AI/ML model.
      • Understand the quality of this information by looking at the classification, performing trend analytics and obtaining a view of what the trends mean from the FP&A team. Thereby:
      • Identifying the shortfalls in this data and the impact it has on the AI/ML forecast model;
      • Identifying what causes the shortfalls;
      • Determine how to address the causes to improve financial data.
    • In both the data strategy and data management responsibilities above, consideration should be given to non-financial metric, both internal generated metrics and externally generated metrics.
    • Other AI and ML and finance transformation initiatives to be explored and researched for the wider group finance team.

    Qualifications, Knowledge and Experience:

    • Must have a post-graduate Bachelor's degree in Finance or related
    • At least 3-4 years of technical and systems experience, preferably on finance systems
    • Solid experience in supporting finance teams, preference will be given to people with experience in working with FP&A team
    • Understands how financial data flows, where it originates from and the ultimate goal we are working toward

    Behavioural Competencies:

    • Is open to learning new things (systems)
    • Likes coming up with new ideas and exploring new tools/initiatives
    • A self-starter (does not need to be micromanaged and will take the initiative to train him/herself on items unknown to them)
    • Customer focused
    • Agile, flexible and willing to adapt
    • Can listen to requirements, play it back to customers and not afraid to make suggestions for improvements
    • Yet he/she must be humble

    Method of Application

    Interested and qualified? Go to Naspers Limited on to apply

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