Operations Data Analytics Intern

Valmont Group

Valley (NE)

On-site

USD 21,000 - 34,000

Full time

3 days ago
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Job summary

Valmont Group in Valley, Nebraska is seeking an Analytics/PM/Engineering internship to turn complex data into practical insights. You will build reports and visualizations in Databricks, Power BI, and Excel while supporting data quality, governance, and automation initiatives.

The ideal candidate is curious, analytical, detail-oriented, and able to collaborate with technical and business teams. You will gain exposure to manufacturing, supply chain, product management, and digital transformation

Qualifications

  • Pursuing a bachelor’s degree in a related field.
  • Foundational data analysis concepts with structured datasets.
  • Proficiency in Excel, formulas, filters, pivots, and data organization.
  • Basic knowledge of SQL or similar querying methods.
  • Familiarity with data visualization and reporting concepts.
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to communicate findings to technical and nontechnical audiences.

Responsibilities

  • Build and maintain reports, dashboards, and visualizations using Databricks, Power BI, Excel.
  • Analyze product lifecycles, governance, and portfolio data.
  • Validate data quality and support data governance initiatives.
  • Translate business questions into analyses, metrics, and repeatable reports.
  • Collaborate with Product Management, Engineering, Operations, and other stakeholders.
  • Identify opportunities to automate reporting and improve data access.

Skills

Excel
SQL
Data visualization
Analytical thinking
Communication
Multitasking
Collaboration

Education

Bachelor's degree in Data Analytics / Data Science / CS / Engineering

Tools

Databricks
Power BI
Apache Spark
Python
Cloud platforms

Job description

Valmont Group in Valley, Nebraska is seeking an Analytics/PM/Engineering internship to turn complex data into practical insights. You will build reports and visualizations in Databricks, Power BI, and Excel while supporting data quality, governance, and automation initiatives.

The ideal candidate is curious, analytical, detail-oriented, and able to collaborate with technical and business teams. You will gain exposure to manufacturing, supply chain, product management, and digital transformation

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