Key Account Data Analyst

CooperCompanies
Fareham, United Kingdom
On-site

Who this role is best for

A natural match if you have supply chain analytics and forecasting experience.

Best fit for

  • Candidates with supply chain analytics and forecasting experience in a technical or scientific field
    — “Degree or Higher Education qualification in a technical/Scientific discipline with Statistical methods”
  • Professionals who can translate data into actionable business insights and support key account managers
    — “Ability to translate complex data into clear business insights and recommendations”
  • Individuals with experience in statistical forecasting and machine learning frameworks
    — “Deep knowledge of statistical and machine learning algorithms, building scalable ML frameworks”

Things to consider

  • Must be available for on-site work in Fareham, UK, five days per week
    — “Working on site 5 days per week”
  • Requires experience with specific forecasting systems like o9
    — “Experience of forecasting or planning systems (o9, in particular)”

How to stand out

  • Highlight experience in statistical forecasting model optimization and accuracy monitoring
    — “Maintain and optimise statistical forecasting models and system-generated forecasts”
  • Demonstrate ability to collaborate across departments like Supply Chain and Commercial
    — “To work with Supply Chain, Commercial, Operations and Demand Planning teams”
  • Showcase skills in advanced Excel data modeling and analysis
    — “Advanced Excel skills including data modelling and analysis”
  • Emphasize experience in identifying and collecting relevant data for ML models
    — “Identifying and collecting relevant input data, feature engineering”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • accurate forecasting models
  • improved supply chain performance
Typical background
supply chain experiencedata analysis background

Skills & requirements

Required

Data AnalysisStatistical ForecastingAdvanced ExcelSupply Chain Systems

Preferred

Machine LearningO9 Forecasting Systems

Stack & domain

PythonReactData SystemsDemand ForecastingStatistical And Machine Learning AlgorithmsExcelForecasting Or Planning Systems (o9)Supply Chain Systems And Processes (oracle, Baan, Logility, Cognos)LeadershipCommunicationTeamworkProblem-solvingAdaptabilitySupply ChainData AnalysisForecastingDemand Planning

About the role

Original posting from CooperCompanies

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: 

Analyse customer, market and product performance data to identify trends, risks and opportunities. 

Produce availability, service, OTIF, backorder and supply performance reporting for customers and internal stakeholders. 

Support Key Account Managers with customer-facing analytics’ service reviews and supply chain performance discussions. 

Forecasting analyst responsibilities: 

Maintain and optimise statistical forecasting models and system-generated forecasts. 

Monitor forecast accuracy, forecast bias and forecast utilisation. 

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:

Highly Computer literate with good understanding of data systems 

Experience in applying analytical methods in demand forecasting

Deep knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing

Advanced Excel skills including data modelling and analysis.

Experience of forecasting or planning systems (o9, in particular).

Ability to translate complex data into clear business insights and recommendations.

Able to pick up concepts and understand the data trends 

Able to understand supply chain systems and processes (Oracle, Baan, Logility, Cognos experience a bonus)

Proactive in a team environment and be able to engage in multi-disciplinary groups

Experience & Education:

Required:

A strong understanding of Data Analysis or Supply Chain experience

Good understanding of statistical methods, forecasting techniques and demand analysis and forecasting principles. Experience in demand planning, forecasting support, supply chain analytics or related disciplines preferred

Experience supporting forecasting, planning or S&OP processes preferred

Experience of working with multidisciplinary teams 

Preferred:

Degree or Higher Education qualification in a technical/Scientific discipline with Statistical methods 

What we offer:

You’ll receive competitive compensation and a fantastic benefits package including holiday, pension scheme, healthcare cover, life assurance, access to our Wellness Platform to support you in mental health and wellbeing, a discounted contact lens scheme and much more!

We are committed to our employees’ personal and professional development and offer extensive training to support your career growth and help every individual to reach their full potential. To help us achieve our goals, we’ll give you everything you need to help you achieve yours. 

We also provide access to LinkedIn Learning to help you develop in your career and grow with CooperVision.

What you can expect:

As a CooperVision employee, you’ll be welcomed into a diverse and progressive global business. We appreciate how important fostering an inclusive culture is and how different perspectives add value and contribute to our success.  

If you like what you see, take the first step towards your Brighter Future and apply today! All suitably qualified applicants will receive equal consideration and opportunities from CooperVision.

Please view our careers page at https://hcjy.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1to view all other opportunities.

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Source: CooperCompanies careers

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