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5 часов назад

Demand Planning Analyst (Data Science)

Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Singapore
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 Analyst (Python/Forecasting): Developing statistical forecasting models and machine learning solutions for demand planning with an accent on time series modeling, data quality, and supply chain analytics. Focus on building scalable cloud-based analytical solutions, improving forecast accuracy, and translating complex datasets into actionable business insights.

Location: Singapore, Singapore

Company

hirify.global develops materials and solutions for advanced semiconductor manufacturing and related industrial applications.

What you will do

  • Develop, deploy, maintain, and continuously improve statistical forecasting models across an 18-month planning horizon.
  • Manage forecast data and pricing information in SAP Integrated Business Planning, maintaining data integrity and alignment with business requirements.
  • Build market demand models with Marketing and cross-functional stakeholders using internal and external data sources.
  • Design machine learning solutions that automate planning processes and improve operational efficiency.
  • Analyze structured and unstructured datasets to identify trends, risks, opportunities, and actionable insights.
  • Create Power BI dashboards, reports, and visualizations, and support adoption of analytical solutions across Demand Planning, Supply Chain, Commercial, and IT teams.

Requirements

  • Bachelor’s or Master’s degree in Statistics, Mathematics, Data Science, Computer Science, or a related quantitative field.
  • At least 2 years of experience developing analytical solutions with Python and applying statistical modeling.
  • At least 2 years of experience with time series forecasting, including univariate, multivariate, and ensemble models.
  • At least 2 years of experience with SQL or similar database technologies, including data modeling, querying, and data management.
  • At least 1 year of experience working in a cloud environment such as Google Cloud Platform, AWS, or Microsoft Azure.
  • At least 2 years of experience developing dashboards and visualizations with Microsoft Power BI or similar business intelligence tools.

Nice to have

  • Experience with machine learning, predictive analytics, and forecasting in supply chain or demand planning.
  • Experience with SAP IBP or other advanced planning systems.

Culture & Benefits

  • Collaborate across Demand Planning, Marketing, Supply Chain, Commercial, and IT functions.
  • Work in a fast-paced, evolving environment with multiple priorities.
  • Contribute to continuous improvement, innovation, and data-driven decision-making.
  • Success is measured through forecast accuracy, planning effectiveness, business impact, accountability, and effective stakeholder communication.

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