IT Data Analyst

Why Valmont
 

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? Apply now.

A Brief Summary of This Position:

This individual contributor position is responsible for supporting Valmont’s data governance and analytics initiatives. The IT Data Analyst will work closely with stakeholders across departments to classify, secure, and report on organizational data. This role requires proficiency in data classification tools, especially Varonis, and a strong understanding of data policy best practices. The analyst will help ensure data integrity, compliance, and accessibility while enabling data-driven decision-making across the enterprise.

It is essential to embody Valmont’s core values of Passion, Integrity, Continuous Improvement, and Delivering Results while cultivating a workplace where employees feel valued, trusted, understood, and respected.

Essential Functions:

• This position reports to the Manager – IT (Infrastructure) and has no direct or indirect reports.
• Flexible schedule, however, must be able to work in the office 5 days per week.
• Collaborate with business units to understand data needs and deliver actionable insights.
• Classify and secure sensitive data using tools such as Varonis and other data governance platforms.
• Develop and maintain dashboards, reports, and visualizations to support business objectives.
• Assist in the development and enforcement of data policies and procedures.
• Monitor data access and usage to ensure compliance with internal and external regulations.
• Provide feedback and context to IT, Security, and Compliance teams regarding data-related issues.
• Participate in data audits and support remediation efforts.
• Create and maintain documentation for data classification standards, reporting procedures, and analytics workflows.
• Support data quality initiatives and continuous improvement efforts.
• Maintain rapport and teamwork with all members of Valmont’s IT and business staff.
• Maintains a degree of self-directed activity.

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

• Preferred Bachelor’s in a related field with 3+ years or Associate’s Degree with 5+ years relevant experience or 7+ years of relevant experience.
• Experience with data classification and governance tools, especially Varonis.
• Strong understanding of data privacy regulations and compliance standards.
• Proficiency in SQL, Excel, and data visualization tools (e.g., Power BI).
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills.
• Ability to work effectively in a team-oriented environment.

Valmont 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 [email protected].

Highly Qualified Candidates Will Also Possess These Qualifications:

• Highly effective communication skills, both written and oral.
• Experience implementing data governance frameworks.
• Familiarity with metadata management and data cataloging tools.
• Knowledge of data lifecycle management and retention policies.
• Experience with scripting languages (e.g. Python, R) for data analysis.
• Ability to influence and engage stakeholders at all levels.
• Experience working in a hybrid or global team environment.