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1 день назад

Business Operations Specialist (Supply Chain)

74 909 - 105 059$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Business Operations Specialist (Supply Chain): Designing and implementing end-to-end supply chain planning solutions using the o9 platform with an accent on data analytics and solution configuration. Focus on converting business logic into technical designs and optimizing large-scale enterprise data for better decision-making.

Location: Must be based in Dallas, Texas, United States

Salary: $74,909–$105,059

Company

hirify.global is an AI-first enterprise planning platform that helps global leaders optimize their supply chains and reduce operational waste.

What you will do

  • Design and configure end-to-end hirify.global, aligning them with identified business requirements and industry best practices.
  • Collect and process large-scale operational and supply chain data from various sources including databases and Excel.
  • Utilize mathematical models, statistical techniques, and optimization algorithms to provide deep business insights and data visualizations.
  • Develop technical specification documents and implement rigorous performance monitoring systems.
  • Execute ETL processes and create time-series forecasts and operational plans.
  • Collaborate with R&D teams to resolve solution gaps and design automated testing protocols.

Requirements

  • Location: Must be based in Dallas, Texas
  • Master's degree with 1 year of experience OR Bachelor's degree with 3 years of experience.
  • Degree in Operations Research, Industrial Engineering, Engineering Management, Business Analytics, or a related field.
  • Proficiency in SQL and experience with databases such as SQL Server or MySQL.
  • Experience implementing supply chain planning solutions or working within a logistics organization.
  • Advanced knowledge of Microsoft Excel, Google Sheets, and presentation tools.

Nice to have

  • Experience with statistical and optimization tools such as R, SAS, or CPLEX.
  • Knowledge of data mining techniques and processing large enterprise datasets.
  • Experience using Agile methodology to deliver large-scale enterprise implementations.
  • Proven ability to present complex technical topics in a clear and concise manner.

Culture & Benefits

  • Collaborative and transparent environment where innovation is encouraged across all levels.
  • Competitive medical, retirement, and other company-sponsored benefits.
  • Commitment to diversity, inclusion, and an equal-opportunity hiring process.
  • Opportunities for volunteering and participation in social impact initiatives.
  • Opportunity to work at one of the fastest-growing AI technology companies globally.

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