AI-Driven BI Intern — Hybrid (Data & SQL)

Atlas Copco Group Co.,Ltd; Rock Hill (NY); Hybrid; USD 28,000 - 30,000; Full time

Job summary

The Business Intelligence Intern at Atlas Copco Group supports the BI team’s data warehousing and analytics work on the Microsoft stack (Fabric, Azure, SQL Server, Power BI), while also assisting in researching and applying AI techniques across the stack and business areas. You’ll work with analysts to learn how data and analytics support decisions.

Assignments will be set at hire based on priorities. You’ll gain hands-on experience with SQL, Python, and BI tools, contributing to data pipelines,

Qualifications

• Pursuing a degree in a technical field (CS, Data Science, Information Systems, Business Analytics)
• Experience with SQL and relational databases; working knowledge of Python
• Interest in AI and quick learning of new and emerging tools

Responsibilities

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

Skills

SQL & relational databases

Python

AI interest

Education

Pursuing a technical degree (CS/DS/IS/Business Analytics)

Tools

Power BI

Power Query

DAX

Microsoft Fabric

Azure data services

Git

LLMs / AI tools

Job description

The Business Intelligence Intern at Atlas Copco Group supports the BI team’s data warehousing and analytics work on the Microsoft stack (Fabric, Azure, SQL Server, Power BI), while also assisting in researching and applying AI techniques across the stack and business areas. You’ll work with analysts to learn how data and analytics support decisions.

Assignments will be set at hire based on priorities. You’ll gain hands-on experience with SQL, Python, and BI tools, contributing to data pipelines,