Product Analyst Intern (Part Time)

28800 Ida St Valley Nebraska 68064-8016

Why Valmont

We’re Here to Move the World Forward.

Valmont impacts millions of people around the world every day, yet they might not realize the many ways. Our technology is helping feed the growing population, supplying the world with more reliable energy and access to renewables, enhancing connectivity in remote and urban locations to create a sustainable future and so much more. Simply put, Valmont is advancing agricultural productivity and reimagining vital infrastructure to make life better.

Join a Fortune 1000 company that respects hard work, honors diversity and invests in our employees as we focus on creating the world of tomorrow, today . We are the modern workforce . Are you ready to move the world forward? Apply now.

A Brief Summary of This Position:

The Product Analyst Intern will support Valley Irrigation Product Management by turning product, sales, and inventory data into accurate, actionable insights. This part-time role runs through the fall 2026 and spring 2027 academic terms and is designed for a college student who enjoys working with large data sets, building clear reports, and presenting recommendations to product and commercial leaders. The position may be performed on-site or remotely following an initial in-person orientation, with occasional office check-ins.

Essential Functions:

• Analyze product, sales, and inventory data at the SKU and part-number level to identify trends, risks, and improvement opportunities.
• Build and maintain standardized Excel workbooks, pivot tables, data queries, and repeatable reporting tables for management review.
• Apply inventory aging measures and product life-cycle concepts to evaluate product health and inventory exposure.
• Identify mature or declining products that may require obsolescence review, forecast-methodology review, reduced forecast status, liquidation pricing, or scrap and inventory-disposal decisions.
• Use approved analytical and artificial intelligence tools, where appropriate, to analyze data, summarize insights, create charts, and support data-driven presentations.
• Develop clear charts, graphs, written summaries, and recommendations for senior product managers and commercial team members.
• Validate data accuracy, reconcile inconsistencies, and document data sources, assumptions, and analysis methods.
• Present findings, answer questions, and revise analysis based on stakeholder feedback.
• Report to Troy Long, VP of Hardware Product and Warranty; this position has no direct or indirect reports.

Other Important Details about the Role:

• Work part time during the fall 2026 and spring 2027 academic terms on a schedule coordinated with the manager and the student's academic commitments.
• Collaborate with product managers and commercial team members to clarify business questions and convert them into structured analyses.
• Maintain organized source files, analysis workbooks, and reporting formats so results can be reviewed and reused.
• Manage multiple assignments, communicate progress and risks, and meet agreed deadlines with limited supervision.
• Participate in team meetings, an initial in-person orientation, and occasional in-office check-ins when working remotely.
• Handle business and product information with appropriate care and confidentiality.
• No routine travel is required.

Required Qualifications of Every Candidate:

• Currently enrolled college student who expects to remain enrolled through the spring 2027 academic term.
• Pursuing a degree in business analytics, data science, finance, economics, engineering, supply chain, product management, or another analytical field.
• Available for part-time work during both the fall 2026 and spring 2027 academic terms.
• Advanced Microsoft Excel skills, including pivot tables, formulas, data cleaning, and manipulation of large data sets.
• Familiarity with data queries and the ability to organize data from multiple sources.
• Strong analytical reasoning and problem-solving skills.
• High attention to detail and a demonstrated ability to produce accurate work.
• Clear written and verbal communication skills, including the confidence to explain findings and recommendations.
• Ability to work independently, collaborate with others, prioritize assignments, and meet deadlines.
• Ability to complete an initial in-person orientation and attend occasional in-office check-ins if working remotely.

Highly Qualified Candidates Will Also Possess These Qualifications:

• Experience using approved artificial intelligence tools to analyze data, summarize findings, or create charts and presentation content, preferred.
• Experience with inventory aging, product life-cycle analysis, or product, sales, and inventory data, preferred.
• Microsoft PowerPoint experience and the ability to convert analysis into concise management-ready slides, preferred.
• Interest in progressing into a Product Analyst, Product Manager, data science, or analytics career, preferred.