Bel Group

Data Analyst

Job description

For All, For Good, our company signature, reflects Bel’s commitment to a healthier and responsible food for all. This mission mobilizes 12,600 employees every day in over 30 countries to build a profitable and sustainable business model.

Universal and positive, our brands - The Laughing Cow®, Kiri®, Mini Babybel®, Leerdammer®, Boursin® - are constantly reinventing themselves to offer healthier and responsible fruit and dairy snacks to all consumers.

Do you want to join a company with strong brands that puts consumers and responsibility at the heart of the decision-making process? Then Bel is made for you!

Are you bold, pragmatic, and determined? Do you want to contribute to the transformation of an international agri-food company? Them come join us and measure the impact of your talent and energy in realizing an ambitious and sustainable company project!



Cape Town (Full time - Office Based position) – South Africa – Fixed Term Contract (6 months)


Bel South Africa is looking for a well-organized and meticulous Data Analyst/Sales Co-ordinator to join their Sales Team. The ideal candidate will vastly support the sales function and the organisation in making data driven decisions. The Data Analyst will be responsible for retrieving, compiling and analysing sales and market data, as well as, providing valuable feedback and actionable insights to guide the organisations promotional and sales activities.


  • Responsible for the compiling and updating of the company sales / KPI dashboard including the gathering of data from retailers, portals, data suppliers and Partners.
  • Collect, analyse, evaluate and report on sales data for the organisation on an adhoc, monthly, quarterly, and annual basis to identify sales patterns and areas of opportunity.
  • Regularly prepare reports and presentations for the Sales Team which include market performance, Partner, Customer and Consumer data, as well as, competitor research data all with the aim of driving volume, improving weighted / numeric distribution, reducing out-of-stocks and closing gaps.
  • Calculating promotional & trade spend return-on-investment (ROI).
  • Support the administrative requests and flow of detail between Bel and it’s Partners in the Region while fostering collaboration internally within the BU
  • Compile and distribute sales and review meeting minutes for the Region
  • Own the in-market sales component and compile the information as provided from the Partners manipulating it to support forecasting, order generation and stock expiry risk
  • Logging and tracking of the GTN transactions as the invoices / billings are provided and, or, call for these from Partners against activities
  • Formulate and consolidate store related information for distribution and feedback against in-store activities, trials, incentives or drives
  • NPD volume and distribution tracking and the surrounding related communication flow as required
  • Supporting with the administration processes and task related to the effective, efficient and professional management of our ESSA Partners
  • Retrieve and manage information, as well as, the compilation, flow, distribution and tracking of the below mentioned reports, from our Partners in ESSA, on a monthly / weekly basis: Service Levels / Order Fill-rate / Returns / Out-of-stocks / Promotional activity / In-market price survey’s / Weighted and Numeric Distribution data


  • You have just graduated with a Business Science/Information Systems/Data Science degree, majoring in Statistics or are currently studying part time in that direction.
  • You work meticulously under pressure with absolute rigor.
  • You have the ability to work independently and within a Team environment.
  • You have excellent Computer literacy, including data handling software.
  • You have good report-writing skills.
  • You are well-organised and responsible with an aptitude for problem-solving.
  • You are great at prioritising, time management and have strong organisational skills.
  • Advanced excel skills with the ability to quickly capture and manipulate data (incl. using pivot tables) is a must.

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