IT Data Intern

What You'd Actually Work On

You'll contribute to real projects and walk away with work that shipped.

• Python data analysis on real operational data — manufacturing throughput, cost, customer, or sales data. Not Kaggle
• Contribute SQL queries and DAX measures to existing Power BI dashboards used by executives (CFO, VP Sales, VP Operations)
• Microsoft Fabric exposure — data warehouse, semantic models, pipelines, workspace governance. You probably haven't seen this stack in school yet
• One AI experimentation project with oversight — pick one depending on fit: "can Claude summarize vendor contracts and extract key terms?", "can an agent pull purchase-order status and alert the buyer?", "can we auto-classify customer artwork intake emails?"
• Summer capstone — a small research/analysis deliverable presented to IT leadership at summer's end
• Cross-team rotation — 1–2 weeks with the Infrastructure team to see how plant-floor systems run. You'll be a better data engineer for having seen it

What You'll Learn

• What enterprise data work actually looks like (hint: messier than Kaggle)
• The modern Microsoft data & AI stack — SQL Server, Fabric, Power BI, Copilot, Azure OpenAI
• How to build an analysis that a CFO or VP of Operations will actually *use* — not just a notebook for a grade
• Prompt engineering and agent design patterns for business process automation
• How data flows from plant-floor sensors → data warehouse → executive dashboards → AI-assisted workflows

What We're Looking For

• Currently pursuing a degree in Computer Science, Engineering, Data Science, Statistics, Information Systems, or a related field
• Comfortable with Python — pandas, NumPy; scikit-learn a plus
• SQL basics (SELECT, JOIN, GROUP BY — we'll teach you the rest)
• Curiosity about *business* problems, not just technical ones
• Clear writer — you'll be writing analysis summaries, not just code
• Able to be onsite at Pico Rivera, CA for the summer window