Operations Data Analyst Intern

Internship OpportunityHelp 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: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 preferred.Knowledge of manufacturing, supply chain, engineering, or product lifecycle processes preferred.Experience with data quality, governance, process documentation, or reporting automation preferred.Interest in machine learning, generative AI, or digital transformation initiatives preferred.Benefits:Valmont offers employees and their families a comprehensive Total Wellbeing benefit package to ensure their individual and family's overall wellness needs are met.Benefits include:Medical, dental and vision insurancePaid time offEmployer paid life insuranceEmployer paid short-term and long-term disabilityRetirement plansDependent careEmployee assistance programsVoluntary programs like tobacco cessation, Type 2 diabetes reversal, mortgage services, home & auto insurance, health coaching and more.*Due to the nature of Valmont's Global Business and Union contracts, not all benefits are the same.Valmont offers employees and their families a comprehensive Total Wellbeing benefit package to ensure their individual and family's overall wellness needs are met. Some offerings are dependent upon the role, work schedule, or location and can include the following:Healthcare (medical, prescription drugs, dental and vision)401k retirement plan with company matchPaid time offEmployer paid life insuranceEmployer paid short-term and long-term disability including maternity leaveWork Life SupportTuition Reimbursement up to $5,250 per yearVoluntary programs like tobacco cessation, Type 2 diabetes reversal, one-on-one health coaching, mortgage services and moreValmont does not discriminate against any employee or applicant in employment opportunities or practices on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, veteran status, disability or any other characteristic protected by law. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.If you have a disability and require any assistance in filling out the application for employment email View email address on click.appcast.io.