Strategic Merchandise Planner — Data-Driven Forecasting

Placements24; Noord-Kaap; Hybrid; ZAR 420,000 - 660,000; Full time

Benefits offered by this job

Competitive salary and bonus structure

Professional development and training

Comprehensive health and retirement

Job summary

Placements24 is seeking a strategic Merchandise Planner for Kimberley to forecast demand, plan inventory, and ensure products are available where needed. You will partner with buying, allocation, and store teams to hit financial goals in the Kimberley region.

The role requires strong analytical skills, retail trend knowledge, and the ability to translate data into actionable merchandising plans. Collaboration and problem-solving are essential in this data-driven environment.

Qualifications

• Bachelor's degree in a related field.
• 3+ years of experience in merchandise planning, buying, or retail analytics.
• Strong analytical and quantitative skills with proficiency in Excel and planning software.

Responsibilities

• Develop and execute merchandise plans and sales forecasts.
• Determine optimal inventory levels across product categories and stores.
• Collaborate with buyers and suppliers to ensure timely delivery.
• Monitor inventory performance and recommend markdowns or promotions.
• Analyze sales data to identify trends and risks.
• Manage product allocations to stores to meet demand and optimize sell-through.

Skills

Analytical skills

Excel

Planning software

Education

Bachelor's degree in Business/Finance/Marketing or related field

Tools

Excel

Planning software

Job description

Placements24 is seeking a strategic Merchandise Planner for Kimberley to forecast demand, plan inventory, and ensure products are available where needed. You will partner with buying, allocation, and store teams to hit financial goals in the Kimberley region.

The role requires strong analytical skills, retail trend knowledge, and the ability to translate data into actionable merchandising plans. Collaboration and problem-solving are essential in this data-driven environment.