AI-Enabled Data Analytics Intern - Summer 2026

 

Job Title: AI-Enabled Data Analytics Intern

Location: Livonia, MI - On Site

Duration: 10 Weeks

Summer Internship Cycle: June-August

About the Program:
Mastronardi offers a structured, 10-week internship program that runs three times per year, during the Spring, Summer and Fall. This internship provides students the opportunity to gain hands-on experience, develop skills, contribute to meaningful projects, and learn from industry professionals.

Who We Are:

Mastronardi Produce pioneered the commercial greenhouse industry in North America, and we’re now the leading greenhouse vegetable company on the continent. Our award-winning, flavorful produce is packed under the SUNSET® brand and is available at leading grocery retailers across North America. Family owned for over 70 years, we pride ourselves on having the most flavorful products and the best people in the industry. We are constantly pushing boundaries to be a leader in fresh produce innovation. We seek individuals that demonstrate our PRIDE values (Passion, Respect, Innovation, Drive, Excellence) to help us fulfill our mission to inspire healthy living through WOW flavor experiences.

Values:

To perform the job successfully, the incumbent's behavior must be consistent with the PRIDE values expected of all Mastronardi Produce employees: be Passionate; have Respect; be Innovative; be Driven; and strive for Excellence.

Primary Function

As an AI-Enabled Data Analyst Intern, you will support the design, development, and maintenance of data analytics solutions, with a strong emphasis on leveraging AI agents, large language models (LLMs), and modern AI-powered tools to accelerate insight generation. You will work closely with the Enterprise Data Management team to analyze large datasets, create insightful reports, and develop interactive dashboards that help drive strategic business decisions.

This internship offers the opportunity to gain real-world experience in AI-augmented data analysis, business intelligence, and data visualization. You'll develop practical skills in prompt engineering, AI agent workflows, and how AI transforms data-driven decision-making—all while receiving mentorship from experienced data professionals.

Primary Responsibilities

• Work closely with business stakeholders to understand data needs and requirements, translating them into actionable analytics solutions.
• Leverage AI agents and LLM-based tools (such as Claude, ChatGPT, or Copilot) to accelerate data exploration, code generation, documentation, and insight synthesis.
• Design and refine prompts to effectively query AI systems for data analysis tasks, report generation, and automated summarization.
• Build and experiment with AI-assisted workflows that automate repetitive analytics tasks such as data profiling, anomaly detection, and natural language report generation.
• Explore opportunities to integrate AI capabilities into existing BI solutions, including natural language querying and AI-generated insights.
• Gather data from databases, Excel, APIs, external data providers, and other sources.
• Write and optimize SQL queries to extract, manipulate, and analyze data from relational databases.
• Clean, preprocess, and structure data to make it suitable for analysis, reporting, and AI model consumption.
• Develop and maintain dashboards, reports, and visualizations using Power BI and other BI tools.
• Document data analysis processes, AI prompt templates, methodologies, and findings for future reference and team knowledge sharing.
• Prepare presentations, reports, and summaries to communicate key insights and findings to stakeholders, including demonstrations of AI-enhanced analytics capabilities.

Education/Background Requirements

• Currently enrolled in a bachelor's or master's degree program in Data Science, Computer Science, Information Systems, Business Analytics, Statistics, Mathematics, or a related field.
• Relevant coursework in data analysis, database management, business intelligence, data visualization, or artificial intelligence/machine learning.

Specific Knowledge, Skills, and Abilities

• Basic knowledge or experience writing SQL queries to retrieve, manipulate, and analyze data from relational databases (e.g., MySQL, PostgreSQL, SQL Server).
• Familiarity with BI tools such as Power BI, Tableau, Looker, or similar platforms.
• Hands-on experience or strong interest in using AI agents and LLM-based tools (Claude, ChatGPT, GitHub Copilot, etc.) for coding assistance, data analysis, or content generation.
• Understanding of prompt