FAQs
What location is this internship based in?
This internship is based in Fresno, California.
What is the date for this job listing?
The job listing was posted on March 31, 2025.
What are the main responsibilities of the Inventory Analyst Intern?
The main responsibilities include analyzing inventory transactions, conducting cycle counts, developing reports and dashboards, leveraging AI and predictive analytics, and assisting in documenting standard operating procedures for inventory management processes.
What qualifications are required for this internship?
Candidates must be currently pursuing a Bachelor's or Master's degree in Data Science, Analytics, Accounting, Finance, Supply Chain Management, Industrial Engineering, or a related field, among other skills and knowledge in data analytics and problem-solving.
Is this position paid?
Yes, this is a paid internship with an hourly compensation range of $20.00 to $25.00.
What type of experience can the intern gain from this role?
The intern can gain practical experience in data analytics, AI applications, supply chain optimization, and exposure to ERP systems, financial reporting tools, and predictive modeling.
Does the company have a policy on diversity and equal opportunity?
Yes, Trillium Flow Technologies is committed to an inclusive workplace and is an Equal Opportunity/Affirmative Action Employer.
What skills are preferred for this internship?
Preferred skills include experience in data analysis tools like Python, R, SQL, or Power BI, familiarity with AI and machine learning applications, and proficiency in Microsoft Excel.
Is there flexibility in the work schedule?
Yes, there is a flexible schedule to accommodate academic commitments.
Who will the intern report to?
The intern will report to the Cost Accountant.
Are there opportunities for mentorship during the internship?
Yes, there will be hands-on mentorship from experienced finance, data science, and supply chain professionals.
What kind of projects might the intern contribute to?
The intern may contribute to real-world AI-driven process improvements in inventory management and supply chain operations.
Are there any special skills that would be a plus for this role?
Familiarity with AI, machine learning, and predictive analytics as applied to supply chain and inventory management is considered a plus.