Key Account Data Analyst
Posted 14 Oct 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Level
- P02
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
No salary listed for this role.
Field of studyscientific discipline, Technical Discipline
Study levelBachelor's
Job title: Key Account Data Analyst (Supply Chain)
Department: Supply Chain
Location: Delta Park, Fareham, UK. Working on site 5 days per week
GLS: P02
Working hours: Full Time, Monday-Friday.
A brighter future awaits you
CooperVision is one of the world’s leading manufacturers of soft contact lenses with a presence in over 100 countries. Being part of CooperVision means helping improve the way people see each day. It’s more than making contact lenses, it’s about giving lens wearers freedom and confidence to move about their daily lives. We’re all about bright futures – for our people and those who wear our contact lenses.
Job summary – What to expect:
To work with Supply Chain, Commercial, Operations and Demand Planning teams to analyse, understand and communicate customer service, availability, demand and performance data. The role supports business decision making through customer supply chain analytics, statistical forecasting analysis, reporting and continuous improvement of supply chain processes and planning processes.
KAM Analyst Responsibilities:
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Analyse customer, market and product performance data to identify trends, risks and opportunities.
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Produce availability, service, OTIF, backorder and supply performance reporting for customers and internal stakeholders.
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Support Key Account Managers with customer-facing analytics’ service reviews and supply chain performance discussions.
Forecasting analyst responsibilities:
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Maintain and optimise statistical forecasting models and system-generated forecasts.
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Monitor forecast accuracy, forecast bias and forecast utilisation.
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Identify opportunities to increase reliance on statistical forecasting and reduce unnecessary overrides.
A full job description is available upon request.
About you:
We are looking for someone with:
Knowledge, Skills and Abilities:
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Highly Computer literate with good understanding of data systems
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Experience in applying analytical methods in demand forecasting
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Deep knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing