Forecasting Analyst

Role overview

Key responsibilities

• Analyse complex data and optimise enterprise planning tools to improve forecast accuracy and reduce manual overrides.
• Represent forecasting in S&OP forums and align commercial, supply-chain and distribution plans.
• Translate technical data into clear, actionable insights for non-technical stakeholders.
• Build forecasting models for changing trading conditions and seasonal events, balancing availability and wastage.
• Use internal and external data sources, including weather and local events, to refine forecasts.
• Automate workflow bottlenecks, cleanse data and create best-practice guides.
• Mentor partners in data literacy and ensure compliance with GDPR and GSCOP.

Essential skills and experience

• Proven item-location demand forecasting experience in retail, FMCG or a complex supply-chain environment.
• Hands-on proficiency with enterprise demand-planning systems and data querying or visualisation tools such as Luminate Demand Edge, Tableau, Snowflake or SQL.
• Ability to analyse large datasets, identify anomalies, cleanse data and build scenario models.
• Experience supporting S&OP processes to align commercial demand with operational execution.
• Collaborative approach and ability to explain complex insights clearly to non-technical stakeholders.

Desirable experience

• Experience in cross-functional agile teams or Pods with Commercial and Supply Chain partners is desirable.
• Experience automating workflows, writing SOPs and reducing manual overrides is desirable.

Pay

• Salary is stated as up to £50,000, depending on experience.
• Time worked between 22:00 and 06:00 attracts a night premium of £5.25 per hour.

Schedule

• Some weekend on-call work is expected on a rota basis.

Working arrangement

• Permanent role based at Bracknell Head Office with a hybrid arrangement between office and home.
• The team aims for around three office days a week, currently Tuesday, Wednesday and Thursday, with additional office attendance for key meetings.