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Business Analytics Intern (AI)

Формат работы
onsite
Тип работы
parttime
Грейд
trainee
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 Analytics Intern (AI): Transforming business and customer datasets into analytical models, dashboards, and actionable insights with an accent on SQL, data modeling, and AI-assisted analytics. Focus on designing clear dashboards, investigating ambiguous business questions, and translating analytical findings for technical and non-technical stakeholders.

Location: Chicago, Illinois, United States

Company

hirify.global is an AI-powered advertising technology company providing an integrated platform for media, creative, and advertising intelligence.

What you will do

  • Transform raw datasets into structured data models for analysis, reporting, and dashboarding.
  • Analyze customer and business data to identify actionable insights and opportunities.
  • Build, maintain, and enhance dashboards used across the organization.
  • Support ad hoc analytical requests and investigations.
  • Partner with stakeholders to translate business questions into analytical approaches.
  • Use AI tools to improve analytical workflows and communicate findings to technical and non-technical audiences.

Requirements

  • Currently pursuing or recently completed a degree in data science, statistics, mathematics, economics, computer science, engineering, or another quantitative field.
  • Strong analytical and quantitative skills with the ability to reason through ambiguous problems.
  • Experience working with SQL.
  • Curiosity about data, analytics tools, and analytical techniques.
  • Interest in AI and its applications in analytics.
  • Clear communication skills for explaining complex findings.

Nice to have

  • Familiarity with dbt or similar data modeling tools.
  • Experience with Python or another programming language used for data analysis.

Culture & Benefits

  • Approximately 30 hours per week from October 6 through December 17, 2026.
  • Hands-on experience within a Business Analytics team.
  • Exposure to modern analytics tools and large, complex datasets.
  • Experience designing dashboards and translating data into business insights.
  • Practice incorporating AI into analytical workflows and supporting self-service analytics.
  • Work within a multinational team representing more than 60 nationalities across 13 countries.

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