BI & AI Intern — Data Analytics (Hybrid)

Atlas Copco

Rock Hill (SC)

Hybrid

USD 28,000 - 30,000

Full time

25 hours ago
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Job summary

Atlas Copco Group invites a Business Intelligence Intern to assist with data warehousing and analytics on the Microsoft stack (Fabric, Azure, SQL Server, Power BI). You will learn how data supports business decisions and participate in AI research across the tech stack and business areas.

Day-to-day tasks include researching AI capabilities, applying AI tools to improve development and analysis, building data pipelines, writing SQL, and supporting analysts with reporting and ad hoc requests.

Qualifications

  • Pursuing degree in CS, Data Science, Information Systems, Business Analytics, or related field.
  • Coursework or experience with SQL and relational databases.
  • Working knowledge of Python.
  • Interest in AI and learning new tools quickly.

Responsibilities

  • Research AI capabilities in Fabric, Azure, and Power BI.
  • Apply AI tools to improve development, documentation, and analysis.
  • Develop and support data pipelines in Microsoft Fabric utilizing Lakehouse, Warehouse, notebook, and other tools.
  • Write and optimize SQL for data integration, validation, and reporting.
  • Shadow BI Analysts and support day-to-day reporting, ad hoc analysis, and stakeholder requests.
  • Analyze data for trends, variance, and root causes and report findings to stakeholders.

Skills

SQL
Python
AI interest

Education

Undergraduate or Graduate degree in CS/DS/IS/BA

Tools

Power BI
Microsoft Fabric
Azure
Git

Job description

Atlas Copco Group invites a Business Intelligence Intern to assist with data warehousing and analytics on the Microsoft stack (Fabric, Azure, SQL Server, Power BI). You will learn how data supports business decisions and participate in AI research across the tech stack and business areas.

Day-to-day tasks include researching AI capabilities, applying AI tools to improve development and analysis, building data pipelines, writing SQL, and supporting analysts with reporting and ad hoc requests.

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