Forecast Analyst (24 Months FTC)

Overview

As Forecast Analyst, you will own end-to-end forecasting for the Phase 1 SRO project, shaping how forecasting, replenishment and stock decisions are made across depots and stores. You’ll partner with Data Science, Product and vendor teams to interpret forecasts, challenge outputs and drive improvements. This hybrid role blends analytics and commercial judgement to influence future forecasting processes and enable a successful rollout. You will become a go-to SRO superuser shaping scalable workflows.

Pay / Benefits

• Hybrid working (2-3 days in office)
• 27 days leave plus bank holidays
• Tax Saver Tickets
• fitness centre
• subsidised cafeteria
• opportunity to buy additional leave

Responsibilities

• Own end-to-end forecasting across products, stores and workflows for the SRO pilot
• Analyse and challenge forecast outputs, identifying patterns, risks and exceptions using commercial judgement
• Investigate forecasting issues with Data Science, Data Governance, Product and vendor teams to find root causes and fixes
• Collaborate with Buying & Merchandising, Retail, Planning & Space and Supply Chain to align forecasts with commercial/operational priorities
• Shape and validate the future forecasting solution via design sessions, testing and process validation
• Become an SRO forecasting superuser, building system expertise, capturing pilot insights and supporting training and rollout

Key requirements

• Proven experience in forecasting, merchandising, planning, allocation, supply chain or commercial analysis in retail
• Ability to interpret complex data and translate insights into commercial actions
• Strong understanding of customer demand, forecasting, stock management and trading performance
• Experience investigating performance issues and challenging system outputs with data and insight
• Strong communication and influencing skills for cross-functional collaboration
• Ability to work independently, manage priorities and make sound decisions; experience with forecasting systems or technology implementation is a plus

• Communication
• Influencing
• Collaboration
• Forecasting and data interpretation
• Retail forecasting systems
• Data-driven analysis

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