Strategic Demand Planner — FMCG, Power BI, 7-Month FTC

Pod Talent

England

On-site

GBP 30,000 - 42,000

Full time

9 days ago

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Job summary

Pod Talent is partnering with a well-known international food brand to recruit a Demand Planner for Surrey on a 7-month FTC, with 1 day in the office. The role focuses on building SKU-level forecasts, automating reports, and supporting key supply chain initiatives across Europe.

You will work closely with internal and external supply chain partners, using data-driven insights to optimise performance and enhance forecasting accuracy.

Qualifications

  • 2+ years’ experience as a Forecaster or Demand Planner in FMCG, Consumer Goods or Retail.
  • Strong analytical capability; proficient in Excel and Power BI.
  • Excellent communication skills with confidence in leading meetings and presenting findings.
  • Commercially minded with ability to understand and interpret business performance drivers.

Responsibilities

  • Build and automate short-, medium- and long-term SKU-level demand forecasts and dashboards in Power BI.
  • Deliver daily and weekly reporting across supplier performance, forecast accuracy, stockholding and end-to-end visibility.
  • Lead promotional forecasting, incorporating market intelligence and cross-functional inputs.
  • Analyse forecast deviations to drive continuous improvement and provide proactive supply chain insights.
  • Collaborate with Logistics, Buying and wider teams to ensure stock availability and support tender processes.

Skills

Forecasting
Demand planning
Data analysis
Communication
Presentation

Tools

Excel
Power BI

Job description

Pod Talent is partnering with a well-known international food brand to recruit a Demand Planner for Surrey on a 7-month FTC, with 1 day in the office. The role focuses on building SKU-level forecasts, automating reports, and supporting key supply chain initiatives across Europe.

You will work closely with internal and external supply chain partners, using data-driven insights to optimise performance and enhance forecasting accuracy.

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