Retail Category Forecaster

Harvey Nash; Newcastle upon Tyne; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading recruitment consultancy seeks a Retail Category Forecaster to enhance forecasting and replenishment operations. The ideal candidate has a strong analytical background in retail forecasting and is proficient in Power BI and Python. This role involves reviewing sales trends, maintaining forecasting systems, and supporting the demand team for optimal shop availability.

Qualifications

• Strong analytical background with experience in retail forecasting.
• Ability to interpret complex data and translate it into commercial actions.

Responsibilities

• Review historical sales trends to prepare accurate forecast data.
• Maintain and improve forecasting and replenishment systems.
• Support the demand forecasting team to ensure supply chain readiness.

Skills

Analytical background

Retail forecasting

Proficiency in Power BI

Proficiency in Python

Job description

Overview

Are you a data-driven forecaster with a passion for retail?

We're seeking a Retail Category Forecaster to join a high-performing commercial team within a large retail organisation. This role plays a key part in supporting forecasting and replenishment operations, contributing to a major systems transformation project.

Responsibilities

• Review historical sales trends to prepare accurate forecast data.
• Take ownership of shop-level forecasts for individual products within a category, maximising sales while controlling waste.
• Maintain and improve forecasting and replenishment systems to enhance forecast accuracy and support robust shop ordering.
• Support the demand forecasting team to ensure supply chain readiness and full shop availability.
• Provide data, analysis and recommendations to guide ranging decisions in collaboration with Category teams.
• Communicate effectively with Category, Retail, and Supply Chain teams to ensure forecasting processes are understood and followed.

What We\'re Looking For

Essential Skills & Experience:

• Strong analytical background with experience in retail forecasting.
• Proficiency in Power BI and Python for data analysis and reporting.
• Ability to interpret complex data and translate it into commercial actions.

Interested?
Apply now or get in touch for a confidential conversation.