Operations Data Analyst Intern

Valmont Group; Valley (NE); Sur place; USD 21 000 - 34 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Excel

SQL

Data visualization

Analytical thinking

Communication

Multitasking

Collaboration

Formation

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

Outils

Databricks

Power BI

Apache Spark

Python

Cloud platforms

Description du poste

28800 Ida St Valley Nebraska 68064-8016

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?

A Brief Summary of This Position:

Help turn complex business, product, and engineering data into practical insights that improve how Valmont manages decisions, products, and processes. This internship offers hands-on experience across Analytics, Product Management, and Engineering, with opportunities to 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 comfortable collaborating across technical and business teams. You will gain exposure to business analytics, product lifecycle management, engineering change processes, and digital transformation while delivering work that provides measurable value to the business.

Essential Functions:

• This position reports to the Analytics and Machine Learning Operations Engineer and has no direct or indirect reports.
• Support analytics initiatives by gathering, analyzing, and interpreting 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 clear 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.
• This role requires no travel (internationally/domestically).

Other Important Details about the Role:

• Work in a collaborative environment with regular guidance, feedback, and mentorship from analytics and business professionals.
• Gain exposure to manufacturing, supply chain, product management, engineering, and business planning processes.
• Participate in project meetings, requirements discussions, solution reviews, and demonstrations with cross-functional stakeholders.
• Balance structured project assignments with short-term data requests and emerging business priorities.
• Investigate data questions, identify inconsistencies, and work with data owners to understand their operational impact.
• Communicate analytical findings through clear visuals, summaries, presentations, and recommendations tailored to the audience.
• Learn and apply organizational standards for data governance, security, documentation, and responsible use of analytics.
• Contribute ideas for improving existing processes, reporting tools, data accessibility, and overall user experience.

Required Qualifications of Every Candidate (Education, Experience, Knowledge, Skills and Abilities):

• 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 both technical and nontechnical audiences.
• Ability to manage multiple assignments, ask thoughtful questions, and work both independently and collaboratively.
• Demonstrated curiosity, initiative, and willingness to learn new business processes and technologies.

Highly Qualified Candidates Will Also Possess These Qualifications:

• Experience with Databricks, Apache Spark, Python, or cloud-based data platforms preferred.
• Experience with Power BI, including Power Query or DAX, preferred.
• Previous internship, coursework, or project experience applying analytics to a business problem pre