Pricing and Promotion Analyst - Pick n Pay

eg. Accountant or Accounting or Kempinski

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Job Advert Summary

To manage trade analyses assisting in the development of trade optimisation and modelling tools to help drive trade in Pick n Pay Retail. To work cross-functionally within the Trade team assisting in the analysis of Pricing and Promotions.

Duties & Responsibilities

Pricing and Promo Analysis:

  • Assist in the development of pricing and promotional tools to enable trade optimisation.
  • Assist in the completion of day-to-day processes as required within the Pricing and Promotions teams.

Sales Forecasting:

  • Develop the list of explanatory variables for sales forecasting.
  • Assist in the development of relevant feature selection algorithms.



  • Align with the Trade Planning team to communicate sales targets and promotional sales requirements to the business.
  • Computation of the descriptive statistics and daily summary reports.
  • Contribute to trade planning and trade strategy effectively
  • Build performance enhancing insights based on the data.

Data Processing:

  • Manage the trade data ensuring the integrity and robustness of analysis.
  • Contribute to the development of the trade database.
  • Develop system enhancements to improve data processing efficiencies.

Trade Insights:

  • Contribute to the development and incremental improvement of the trade analytics and insights engine.
  • Build trade analysis reports analysing the effects of industry, technology, and market changes including industry practices, business trends, distribution methods, and the competitive environment.
  • Design and build innovative approaches to continuously improve trade systems and processes.
  • Perform complex analyses; identify trends and insights based on data.

Minimum Requirements

  • 3-year undergraduate degree (Statistics, Mathematics, Engineering, Finance or similar).
  • Preferably 1- 2 years Analytics experience in a field requiring a high degree of data.
  • Understanding of the retail industry is advantageous.
  • Advanced use of Microsoft product suite.
  • Ability to use specialised analytical software (R, SQL, Knime, Power Bi, Tableau) is highly advantageous.




  • Conceptual thinking Networking and Relationship Building
  • Excellent Communications skills (Verbal and Written)
  • Good problem solving skills
  • Good Presentation skills
  • Team Orientation
  • Results Orientated with a sense of urgency
  • Good analytical skills and ability to interpret data

Additional Information

  • Competency based interview to assess above requirements



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