Data & GIS Intern: Power BI, SQL & IT Support

Pac Ag; Wasco, Northern (CA, KY); Hybrid; USD 25,000 - 36,000; Full time

Job summary

Pac Ag is seeking an IT & Business Systems Intern to support Power BI reporting, SQL data retrieval, and ArcGIS GIS tasks. You will assist with data modeling, documentation, and AI-assisted work while collaborating with the IT team on real-world projects.

You will gain hands-on experience with GitHub repositories, data governance, and cross-department collaboration, contributing to farm operations analytics in a fast-paced environment.

Qualifications

• Currently pursuing or recently completed degree in IS/CS/GIS/Data Analytics/Business

Responsibilities

• Assist with Power BI reports and dashboards
• Write and troubleshoot basic SQL queries
• Assist with data transformation in Power Query and basic data modeling
• Document report logic and data sources
• Explore AI-assisted tools to support data cleaning and documentation
• Maintain geospatial maps and dashboards in ArcGIS
• Support GIS data entry and quality checks
• Provide day-to-day IT help desk support and basic ticketing
• Assist with MDM tasks and Active Directory basics
• Use version control tools to organize scripts and configs
• Document processes and learnings for internal KB
• Participate in IT team meetings and training sessions
• Suggest AI and productivity tool improvements to streamline workflows
• Present learning outcomes at internship end

Skills

Databases

GIS concepts

AI tools

Git/GitHub

Attention to detail

Written and verbal communication

Time management

Confidentiality

Education

Information Systems / CS / GIS / Data Analytics / Business degree

Tools

ArcGIS

Power BI

GitHub

Job description

Pac Ag is seeking an IT & Business Systems Intern to support Power BI reporting, SQL data retrieval, and ArcGIS GIS tasks. You will assist with data modeling, documentation, and AI-assisted work while collaborating with the IT team on real-world projects.

You will gain hands-on experience with GitHub repositories, data governance, and cross-department collaboration, contributing to farm operations analytics in a fast-paced environment.