Promotions Analyst - Cape Town at Clicks Group

Job description

• To support the annual budgeting process by providing input into promotional budgets at the sub-department and promotional level.
• To utilise scenario analysis in identifying and recommending opportunities to drive promotional efficiencies in order to inform the category decision-making process.
• Review promotional roll ups on a weekly basis and provide feedback to category teams on their traction towards meeting set targets, uplift and profitability.
• Complete post promotional analysis by reviewing promotional performance on a monthly basis and provide recommendations on offer elasticity based on offer type.
• To perform on going analysis on promotional activity and provide category teams with insights into appropriate mechanisms to maximize ROI such as effective promotional vehicles and utilisation of private label products for unsold secondary space.
• To assist category teams in drawing analysis in preparation for Supplier negotiations by providing modelling and analysis on promotional plans and funding.
• To work with the customer insights team to provide input on how to minimise auto-reward by utilising personalised promotions.
• Review overall promotional profitability by leaflet and country by considering all vendor funding and costs associated with the promotion at a total brand, category, and vendor level.
• Review promotional forecast accuracy and understand factors that impact accuracy.
• Perform ad hoc analysis as and when requested to assist with strategic business questions and investigations.

JOB-RELATED KNOWLEDGE

• Systems
• CPA
• International Regulations on Promotions
• Knowledge of Regional Pricing
• SQL programming skills

JOB-RELATED SKILLS

• Microsoft Office Suite: (PowerPoint, Excel, Word, Outlook, etc.)
• Marketing skills
• Analytical skills
• Communication skills
• Organization skills
• Problem management skills

Minimum requirements

EXPERIENCE& EDUCATION

• 2-3years retail experience
• 2-3years analytics experience
• BCom/ Bachelor’s degree in Mathematics, Finance, Statistics or any relevant degree