Senior Demand Planner - S&OP Lead for Fast-Growth FMCG

Storiogroup; Greater London; On-site; GBP 45,000 - 65,000; Full time

Job summary

Storio Group is seeking a skilled Demand Planner to forecast across Europe, bridging commercial forecasts with item-level reality. You will validate top-line forecasts, own item planning, and support B2B forecasting within the S&OP framework.

A strong data mindset and ability to operate with multi-country data are essential. You will collaborate with Marketing, Sales, and Supply Planning, owning detailed planning, phasing improvements, and model building to reduce unforecasted gaps and improve

Qualifications

• 3–5 years of dedicated Demand Planning experience in fast-paced environments.
• Experience with item-level planning, mix modeling and promotional uplift analysis.
• Advanced data modeling in Excel/Sheets and ability to work with multi-country data.

Responsibilities

• Validate commercial forecasts against run rates and customer strategies.
• Own detailed item planning and translate category forecasts into granular sub-category and item forecasts.
• Drive end-to-end forecasting for B2B vendors and integrate into the central S&OP process.
• Prepare variance analysis and scenario packs for monthly demand reviews.
• Partner with Supply Planning to translate forecast changes into capacity planning.

Skills

Demand Planning

Item-level forecasting

Forecasting accuracy

Excel/Google Sheets

Cross-functional collaboration

Education

Bachelor's degree in business, supply chain, or analytics

Tools

MS Excel

Google Sheets

Job description

Storio Group is seeking a skilled Demand Planner to forecast across Europe, bridging commercial forecasts with item-level reality. You will validate top-line forecasts, own item planning, and support B2B forecasting within the S&OP framework.

A strong data mindset and ability to operate with multi-country data are essential. You will collaborate with Marketing, Sales, and Supply Planning, owning detailed planning, phasing improvements, and model building to reduce unforecasted gaps and improve