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1 день назад

Data Analyst (Manufacturing)

73 200 - 117 800$
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

Текст:
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TL;DR
Data Analyst (SQL/Power BI): Identifying, preparing, and analyzing datasets to support business decisions, data quality improvements, visualizations, and incident resolution with an accent on SQL, statistical techniques, and cross-functional analytics. Focus on defining business problems and measures, drafting data views with data engineers, and supporting predictive analytics, machine learning, and AI initiatives.

Location: Jefferson City, Tennessee, United States; office-based role

Salary: $73,200–$117,800 per year

Company

JLG, an Oshkosh company, develops access equipment, training, and support solutions for the construction industry, including mobile elevating work platforms, telehandlers, utility vehicles, and accessories.

What you will do

  • Discover, acquire, prepare, assess, and maintain datasets from internal sources for business-unit analyses and investigative requests.
  • Perform data analysis, visualization, data quality improvements, and troubleshooting of data incidents, including root-cause resolution.
  • Apply SQL and statistical techniques to acquire, enrich, and analyze data.
  • Define business problems, opportunities, relevant dimensions, measures, goals, roles, and sustainment plans.
  • Collaborate with data engineers, data scientists, business operations, consultants, and cross-functional teams to develop data views and solutions.
  • Support citizen analysts and contribute to training, technical documentation, change management, and analytics communities of practice.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, or an equivalent field.
  • At least three years of experience in data analysis, information technology, or a related area.
  • Experience with Power BI, Microsoft Office, Word, Excel, PowerPoint, and SharePoint.
  • Proficiency in SQL, statistical techniques, and data analysis.
  • Strong attention to detail, problem-solving, decision-making, analytical, written, and verbal communication skills.
  • Ability to travel 20%.

Nice to have

  • Experience with Python, C++, and/or C#.
  • Basic understanding of predictive and prescriptive analytics, machine learning, and artificial intelligence.

Culture & Benefits

  • Professional office environment with standard lighting, ventilation, and temperature control.
  • Primarily sedentary computer- and telephone-based work with occasional movement around the office.
  • Reasonable accommodations are available for individuals with disabilities.
  • People-first culture with opportunities to support professional growth and success.

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