Назад
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3 дня назад

Demand Planning Manager

Формат работы
hybrid
Тип работы
fulltime
Английский
c1
Страна
CR
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
Demand Planning Manager (Statistical Forecasting/Machine Learning): Building and maintaining 1-to-20-month Sell-in Outlook demand plans for LEGO products across the CEEMEA region with an accent on forecast accuracy, bias elimination, and commercial alignment. Focus on applying machine learning-driven forecasting models, evaluating weekly performance through S&OE, and coordinating product launches, promotions, and supply chain requirements.

Location: Prague Sales Office, with 3 days per week required in the contracted office and 2 days from home. No relocation support is offered.

Company

hirify.global develops products and experiences designed to inspire and develop builders of tomorrow.

What you will do

  • Own the 1-to-20-month Sell-in Outlook forecast for designated hirify.global themes and products across the CEEMEA region.
  • Develop monthly demand plans using machine learning-driven statistical forecasting models.
  • Incorporate marketing activities, product launches, promotions, and commercial strategies into forecasts.
  • Improve forecast accuracy, eliminate forecast bias, and analyze planning performance.
  • Participate in Sales & Operations Execution processes and manage weekly forecast updates when required.
  • Collaborate with Marketing, Commercial, Supply Chain, Analytics, and Data Forecasting teams on demand planning processes and tools.

Requirements

  • Several years of experience in demand planning or supply planning within a consumer goods environment.
  • Strong understanding of end-to-end supply chain processes.
  • Proven ability to improve forecast accuracy and reduce forecast bias.
  • Strong analytical and statistical capabilities with the ability to manage complexity and make data-driven decisions.
  • Excellent written and verbal communication skills.
  • Advanced English proficiency at C1 level or above.

Nice to have

  • Experience leading change management initiatives.
  • Experience working in a matrix organisation.
  • Power BI reporting and visualisation skills.
  • Knowledge of advanced forecasting methodologies and machine learning applications.

Culture & Benefits

  • Hybrid work policy with an average of 3 days per week in the office.
  • Enhanced paid family care leave.
  • Life and disability insurance coverage.
  • Wellbeing resources and community-building opportunities.
  • Colleague discount and an eligible bonus scheme.
  • Inclusive culture focused on creativity, collaboration, quality, and equal opportunity.

Hiring process

  • Applications are reviewed on an ongoing basis.
  • The hiring team will discuss workplace policy and role eligibility during the recruitment process.
  • Applications must include an English CV.

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