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обновлено 11 дней назад

Data Analyst (AI)

Формат работы
hybrid
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/AI): Transforming operational, customer, and business data into actionable insights through analysis, reporting, and dashboards with an accent on SQL, Excel, process automation, and cross-functional communication. Focus on developing repeatable analytical workflows, validating methodologies, and applying AI tools to improve insight quality and efficiency.

Location: Hybrid role based in Hoffman Estates, Illinois, or Hudson, Ohio, United States. Legal authorization to work in the United States is required.

Company

Healthcare technology and software platform that manages mission-critical equipment and automates procurement of parts, services, and training for hospitals and clinical sites.

What you will do

  • Extract, clean, organize, and analyze data from multiple sources using SQL and Excel.
  • Identify patterns, trends, customer behaviors, operational metrics, and business opportunities.
  • Build reports, dashboards, templates, queries, and repeatable analytical workflows.
  • Translate complex findings into clear recommendations for sales, operations, product, finance, and leadership.
  • Validate analyses, document methodologies and assumptions, and improve analytical accuracy and consistency.
  • Explore AI tools and emerging analytical methods to reduce manual work and improve insight quality.

Requirements

  • Bachelor’s degree in data science, mathematics, economics, business, engineering, or a related quantitative field.
  • 2–4 years of experience in data analysis, business analysis, financial analysis, or a similar analytical role.
  • Strong SQL skills and experience working with relational databases.
  • Advanced Excel skills, including pivot tables, VLOOKUP/INDEX-MATCH, visualization, and analysis.
  • Ability to translate business questions into analytical approaches and explain findings to non-technical audiences.
  • Legal authorization to work in the United States is required.

Nice to have

  • Experience with Python or R for data manipulation and statistical analysis.
  • Familiarity with Tableau, Power BI, or other data visualization and BI platforms.
  • Experience in SaaS, healthcare, subscription, or managed service business models.
  • Hands-on experience with AI tools such as Claude or ChatGPT.
  • Experience developing dashboards and repeatable analytical processes.

Culture & Benefits

  • Hybrid work culture with flexible, collaborative workspaces.
  • Competitive compensation including salary, incentives, and company ownership or equity.
  • Comprehensive benefits including 401(k) matching, health benefits, and college debt reduction support.
  • Training, coaching, professional development, and opportunities to gain new experience.
  • Inclusive community focused on collaboration, learning, ownership, and continuous improvement.

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