
Intern - Finance Data Analyst
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Job Description
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.