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9 дней назад

Key Account Data Analyst (Supply Chain)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Key Account Data Analyst (Supply Chain) (Data Analytics/Forecasting): Analysing customer, market, product, availability, service, demand, and supply performance data to support supply chain and commercial decision-making with an accent on statistical forecasting, machine learning, and customer performance reporting. Focus on maintaining forecasting models, monitoring forecast accuracy and bias, and identifying opportunities to improve planning and reduce unnecessary overrides.

Location: Delta Park, Fareham, Hampshire, United Kingdom; on-site 5 days per week

Company

hirify.global manufactures soft contact lenses and operates in more than 100 countries.

What you will do

  • Analyse customer, market, and product performance data to identify trends, risks, and opportunities.
  • Produce availability, service, OTIF, backorder, and supply performance reports for customers and internal stakeholders.
  • Support Key Account Managers with customer-facing analytics, service reviews, and supply chain performance discussions.
  • 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.

Requirements

  • Strong understanding of data analysis or supply chain operations.
  • Experience applying analytical methods to demand forecasting, planning, or supply chain analytics.
  • Knowledge of statistical methods, forecasting techniques, demand analysis, and forecasting principles.
  • Deep knowledge of statistical and machine learning algorithms, including scalable ML frameworks, feature engineering, tuning, and testing.
  • Advanced Excel skills for data modelling and analysis, with experience using forecasting or planning systems such as o9.
  • Ability to translate complex data into clear business insights and recommendations and collaborate with multidisciplinary teams.

Nice to have

  • Experience with Oracle, Baan, Logility, or Cognos.
  • Experience supporting forecasting, planning, or S&OP processes.
  • Degree or higher education qualification in a technical or scientific discipline involving statistical methods.

Culture & Benefits

  • Full-time schedule from Monday to Friday.
  • Holiday allowance, pension scheme, healthcare cover, and life assurance.
  • Wellness Platform access supporting mental health and wellbeing.
  • Discounted contact lenses and access to LinkedIn Learning.
  • Training and professional development opportunities in a diverse and inclusive global business.

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