Product Analytics Intern - Part-Time, Remote-Eligible

Valmont Group; Valley (NE); Hybrid; USD 25.000 - 36.000; Teilzeit

Zusammenfassung

Valmont Group seeks a Product Analyst Intern to support Valley Irrigation Product Management by turning product, sales, and inventory data into actionable insights. This part-time role runs through Fall 2026 and Spring 2027 and is designed for a college student who enjoys 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

Qualifikationen

• Currently enrolled college student through Spring 2027 term.
• Pursuing analytical degree in business/data fields.
• Available part-time fall 2026 and spring 2027.
• Advanced Excel skills including pivot tables and data cleaning.
• Ability to organize data from multiple sources and communicate findings.

Aufgaben

• Analyze product, sales, and inventory data at SKU/part-number level to identify trends and risks.
• Build and maintain Excel workbooks, pivot tables, data queries, and reporting tables for management.
• Apply inventory aging and lifecycle concepts to evaluate product health and exposure.
• Identify mature/declining products for obsolescence or liquidation decisions.
• Use approved AI tools to analyze data, summarize insights, and create charts.
• Develop charts, summaries, and recommendations for product managers and commercial teams.
• Validate data accuracy and document sources/assumptions.
• Present findings and revise analyses per stakeholder feedback.

Kenntnisse

Excel

Pivot tables

Data queries

Analytical thinking

Attention to detail

Communication

Independent work

Ausbildung

Business Analytics

Data Science

Finance

Economics

Engineering

Supply Chain

Product Management

Tools

SQL

PowerPoint

Jobbeschreibung

Valmont Group seeks a Product Analyst Intern to support Valley Irrigation Product Management by turning product, sales, and inventory data into actionable insights. This part-time role runs through Fall 2026 and Spring 2027 and is designed for a college student who enjoys 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