Назад
Company hidden
10 часов назад

Senior Data Analyst (AI, Operations & Supply Chain)

78 100 - 128 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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
Senior Data Analyst (AI, Operations & Supply Chain) (Supply Chain Analytics, Power BI, SQL, Python): Building decision-ready analytics, forecasting models, dashboards, and agentic workflows for manufacturing and supply chain operations with an accent on inventory health, demand planning, supplier performance, and operational efficiency. Focus on harmonizing multi-ERP data, applying predictive and probabilistic modeling, automating manual decisions with AI, and improving service, cost, working capital, and on-time delivery.

Location: Minneapolis, MN; onsite work is required during standard business hours. Minimal domestic travel of less than 10% is required. U.S. work authorization without current or future visa sponsorship is required.

Salary: $78,100.00–$128,500.00 per year.

Company

hirify.global provides tools for researchers and clinical diagnostics organizations to support life sciences research and help treat and prevent disease.

What you will do

  • Analyze transactional, demand, production, ERP, and operational data to identify inefficiencies, delays, and root causes affecting order flow and delivery.
  • Build forecasting models and planning processes that improve inventory health, anticipate shortages and overages, and align supply with demand and production constraints.
  • Develop dashboards, analytical models, and reusable tools that harmonize data from multiple ERP systems and sites into a single source of truth.
  • Integrate agentic workflows and AI-enabled automation to convert unstructured supply chain data into actionable signals and automate manual decisions.
  • Analyze spend, purchase price variance, supplier performance, and yield to identify savings and strategic sourcing opportunities.
  • Lead analytics initiatives end to end, translate findings into recommendations for operational and executive audiences, and mentor team members.

Requirements

  • Bachelor’s degree in Supply Chain, Operations, Finance, Business Analytics, Industrial Engineering, Computer Science, or a related field.
  • 5–8 years of data analytics experience, including operations and supply chain analytics, inventory planning, demand forecasting, databases, and ERP systems.
  • Advanced proficiency in Power BI and SQL, with hands-on experience using Python and multi-source data across ERP systems, locations, and tools such as Databricks.
  • Experience with predictive modeling, regression analysis, correlation techniques, probabilistic forecasting, demand sensing, and statistical or machine learning models.
  • Knowledge of manufacturing, production scheduling, capacity planning, BOM structures, Lean or Six Sigma, and multi-site or multi-ERP environments.
  • Must be authorized to work in the United States without now or future requiring visa sponsorship.

Nice to have

  • Experience with Salesforce, Smartsheet, or other business intelligence tools.
  • Background in supplier reliability, forecasting simulation, and process excellence.

Culture & Benefits

  • Medical, dental, vision, life, disability, pet, legal, and identity protection insurance benefits begin on day one.
  • 401(k), employee stock purchase plan, HSA, FSA, and dependent care FSA are available.
  • Mentorship, training and development, tuition reimbursement, and promotional opportunities support career growth.
  • Paid holidays, paid time off, paid parental leave, and volunteer paid time off are provided.
  • Employee resource groups, events, charity drives, and an innovation-focused culture support belonging and new ideas.

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 →