🚜 Data Analyst / Data Science Intern
Location: Duncan Family Farms Corporate Office in Goodyear, Arizona
Start Date: Summer 2025
Pay: Paid Internship
Make a Real Impact with Data + Agriculture + Sustainability
Are you passionate about data, the environment, and solving real-world problems? Come grow with us at Duncan Family Farms, a leader in organic farming and sustainable food production. We’re on a mission to provide clean, healthy, life-giving food—and we want you to be part of that journey.
We’re looking for a curious, motivated Data Analyst / Data Science Intern to join our Finance team and work on cutting-edge analytics projects that impact everything from operations to sustainability. This is more than an internship—it’s a chance to develop skills, make real contributions, and see your work in action.
🌟 What You'll Do
Dive into real data and explore patterns, trends, and insights
Design and build analytics models to support financial and operational decisions
Work side-by-side with our Finance team and help drive data-informed strategy
Learn and grow while contributing to meaningful, high-impact projects
See how analytics are deployed in a real-world business setting
✅ What We're Looking For
Must-Haves:
Currently pursuing a degree in Finance, Data Analytics, Statistics, Math, or a related field
Familiar with SQL and at least one scripting language (Python or R preferred)
Curious, self-motivated, and eager to learn
Basic understanding of statistical/financial modeling
Bonus Points For:
Experience with BI tools (Power BI, Tableau)
Familiarity with machine learning concepts
Prior project or internship experience
Strong communication and teamwork skills
🙌 Why Join Us?
Make a difference: Help solve real food supply and sustainability challenges
Grow professionally: Gain experience with the full data model lifecycle
Be part of a mission-driven team: We care about our people, our food, and our planet
Flexible start dates and scheduling
Ready to dig in?
Apply now and be a part of transforming agriculture through data. Help us feed the world—smarter and more sustainably.