Group Finance Systems and Data Specialist at Naspers Limited

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