Operations Data Analyst Intern

Valmont Industries, Inc.•Valley, NE
•Onsite

About The Position

The Operations Data Analyst Intern helps turn complex business, product, and engineering data into practical insights that improve Valmont’s decisions, products, and processes. The internship provides hands-on experience across Analytics, Product Management, and Engineering, including building reports and visualizations with Databricks, Power BI, and Excel and supporting data quality, governance, and automation initiatives. The intern works with cross-functional business and technical teams, supporting analytics and reporting while gaining exposure to business analytics, product lifecycle management, engineering change processes, manufacturing, supply chain, and digital transformation. The role reports to the Analytics and Machine Learning Operations Engineer and has no direct or indirect reports. It requires no travel.

Requirements

  • Currently pursuing a bachelor’s degree in Data Analytics, Data Science, Computer Science, Engineering, Supply Chain, Business Analytics, or a related field.
  • Foundational knowledge of data analysis concepts and experience working with structured datasets.
  • Proficiency in Microsoft Excel, including formulas, filters, pivot tables, and data organization.
  • Basic knowledge of SQL or another method of querying and transforming data.
  • Familiarity with data visualization and reporting concepts.
  • Strong analytical and problem-solving skills, with close attention to accuracy and detail.
  • Ability to communicate findings clearly to technical and nontechnical audiences.
  • Ability to manage multiple assignments, ask thoughtful questions, and work independently and collaboratively.
  • Curiosity, initiative, and willingness to learn new business processes and technologies.

Nice To Haves

  • Experience with Databricks, Apache Spark, Python, or cloud-based data platforms.
  • Experience with Power BI, including Power Query or DAX.
  • Previous internship, coursework, or project experience applying analytics to a business problem.
  • Knowledge of manufacturing, supply chain, engineering, or product lifecycle processes.
  • Experience with data quality, governance, process documentation, or reporting automation.
  • Interest in machine learning, generative AI, or digital transformation initiatives.

Responsibilities

  • Gather, analyze, and interpret data for Product Management, Engineering, Operations, and other business teams.
  • Build and maintain reports, dashboards, and visualizations using Databricks, Power BI, Excel, and related tools.
  • Analyze product lifecycles, engineering changes, product governance, and product portfolio data.
  • Perform data validation, cleansing, reconciliation, and quality checks to improve data accuracy and reliability.
  • Translate business questions and requirements into analyses, metrics, and repeatable reporting solutions.
  • Identify opportunities to automate manual reporting processes and improve access to trusted business data.
  • Document data definitions, business processes, analytical methods, and standard work instructions.
  • Collaborate with business and technical stakeholders to communicate findings, resolve data issues, and support cross-functional projects.
  • Participate in project meetings, requirements discussions, solution reviews, and demonstrations.
  • Investigate data questions and inconsistencies, working with data owners to understand operational impact.
  • Communicate analytical findings through visuals, summaries, presentations, and audience-appropriate recommendations.
  • Apply organizational standards for data governance, security, documentation, and responsible analytics use.
  • Contribute ideas to improve processes, reporting tools, data accessibility, and user experience.

Benefits

  • Medical, prescription drug, dental, and vision insurance
  • Paid time off
  • Employer-paid life insurance
  • Employer-paid short-term and long-term disability, including maternity leave
  • 401(k) retirement plan with company match
  • Dependent care
  • Employee assistance programs and work-life support
  • Tuition reimbursement up to $5,250 per year
  • Voluntary programs, including tobacco cessation, Type 2 diabetes reversal, health coaching, mortgage services, and home and auto insurance
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