Назад
Company hidden
5 дней назад

Data Analyst - Supply Chain & Operations

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Data Analyst - Supply Chain & Operations (Supply Chain/Data Analytics): Collecting, validating, analyzing, and presenting operational data from ERP, procurement, inventory, project, and finance sources with an accent on KPI reporting, dashboard development, and supply chain performance analysis. Focus on identifying shortages and discrepancies, analyzing costs and delivery performance, and translating multi-source data into actionable recommendations for cross-functional stakeholders.

Location: Full-time, on-site in Phoenix, Arizona, United States; occasional visits to manufacturing facilities, construction sites, customer locations, and other active project environments may be required.

Benefits include 100% employer-paid medical, dental, vision, and life insurance, paid time off, and a 401(k) plan.

Company

hirify.global supports semiconductor, high-tech manufacturing, and mission-critical facility projects through turnkey facility integration, construction, installation, and maintenance services.

What you will do

  • Collect, consolidate, validate, and analyze data from ERP systems, procurement, inventory, project, finance, and operational sources.
  • Prepare recurring and ad-hoc reports, dashboards, visualizations, and KPIs for management and cross-functional teams.
  • Analyze purchasing, inventory, materials, suppliers, orders, lead times, costs, delivery performance, and operational trends.
  • Identify shortages, delays, variances, discrepancies, and operational risks, then communicate findings and recommendations.
  • Support supplier-performance tracking, forecasting, variance analysis, process improvement, and reporting standardization.
  • Collaborate with supply chain, procurement, engineering, project management, operations, finance, customers, vendors, and leadership.

Requirements

  • Bachelor’s degree in data analytics, business analytics, supply chain management, statistics, finance, business administration, engineering, information systems, or a related field preferred.
  • At least 1 year of experience in data analysis, supply chain, procurement, operations, business analytics, or a related field.
  • Fluency in Chinese and English is required for communication with internal and external stakeholders.
  • Advanced Microsoft Excel skills, including formulas, XLOOKUP or INDEX/MATCH, SUMIFS, PivotTables, charts, data organization, and analysis.
  • Experience with Power BI and/or Tableau, plus SQL, Python, or another data-analysis tool.
  • Strong analytical, problem-solving, organizational, communication, and prioritization skills in a fast-paced environment.

Nice to have

  • Experience with supply chain, procurement, inventory, logistics, supplier, materials, or operational data.
  • Experience with ERP systems such as SAP, Oracle, Microsoft Dynamics, or similar platforms.
  • Familiarity with semiconductor, high-tech manufacturing, engineering, construction, or logistics industries.
  • Knowledge of Power Query, DAX, data modeling, database structures, forecasting, data governance, or process improvement.

Culture & Benefits

  • Office-based work supporting semiconductor, engineering, construction, operational, and corporate environments.
  • Regular interaction with project teams, customers, vendors, subcontractors, and company leadership.
  • 100% employer-paid medical, dental, vision, and life insurance for the employee.
  • Paid time off and a 401(k) plan.
  • Occasional local travel and handling of materials or supplies weighing up to 20 pounds may be required.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →