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7 дней назад

Supply Chain Data Analytics Specialist

Тип работы
fulltime
Английский
b2
Страна
Australia
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
Supply Chain Data Analytics Specialist (Supply Chain Analytics): Identifying and delivering cost savings across warehouse operations, transportation, and distribution networks with an accent on predictive modeling, KPI design, and network optimization. Focus on analyzing large datasets, simulating demand and growth scenarios, and translating insights into measurable operational improvements.

Location: Liverpool, Australia

Company

hirify.global manufactures and supplies energy and telecommunications cables, optical fibres, connectivity systems, and related infrastructure products through a global network.

What you will do

  • Identify, quantify, and deliver cost-saving initiatives across warehousing, transportation, and distribution networks.
  • Build and track savings pipelines to ensure initiatives are measurable and realized.
  • Analyze large datasets to identify process inefficiencies, cost drivers, service bottlenecks, and improvement opportunities.
  • Apply predictive modeling and scenario simulation to evaluate demand changes, growth opportunities, and new market entries.
  • Support network design and reconfiguration, including warehouse location and inventory placement analysis.
  • Define and track KPIs, then translate analytical findings into operational improvements with warehouse, distribution, 3PL, planning, and IT teams.

Requirements

  • Bachelor’s degree in Supply Chain, Engineering, Data Analytics, or a related field, or relevant experience in supply chain analytics, logistics optimization, or operations improvement.
  • Advanced Excel skills, including modeling.
  • Experience with Power BI or Tableau.
  • Strong analytical, problem-solving, and business communication skills.
  • Ability to translate data into actionable business improvements.
  • Experience with Python, R, SQL, ERP, WMS, TMS, or SAP is beneficial; Lean or Six Sigma experience is preferred.

Culture & Benefits

  • Work in a global energy and telecommunications infrastructure company.
  • Inclusive, collaborative, driven, and safety-focused work environment.
  • Competitive salary and benefits package.
  • Commitment to diversity, equity, inclusion, and reasonable workplace accommodations.

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