Analyst Trade Optimisation - 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.

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  • 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, IT or similar).
  • Preferably 4-5 years of Analytics experience in a field requiring a high degree of data.
  • Understanding the retail industry is advantageous.
  • Advanced use of Microsoft product suite.
  • The ability to use specialised analytical software (R, SQL, Knime, Power Bi, Tableau) is highly advantageous.

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Competencies

  • 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 the above requirements


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Before you look at how to apply for the job, take a look at the recommended career resources and guides we have for you below. It is always good to prepare yourself for your dream job. Carefully read the articles and proceed to apply.

INFORMATION YOU MIGHT FIND USEFUL

#1, 13 Reasons Why Your CV Will Get Rejected
#2. How To Write A Perfect CV
#3. How To Write The Perfect Cover Letter
#4. Smart Ways To Answer Standard Job Interview Questions
#5. Fully Funded Scholarships to Study Abroad
#6. How to make Money Online

How To Apply

Interested applicants should:

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