Job Description

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:

The Director of Finance Data & Analytics plays a leadership role in shaping and executing the  enterprise wide data and analytics vision for financial decision making at Valmont. This position designs and delivers scalable, professional tools, dashboards and reporting solutions for leadership at multiple organizational levels, ensuring a unified view of key business drivers.

The incumbent leads cross-functional teams and collaborates with stakeholders across finance, the IT organization, and the broader business units to translate strategic priorities into actionable data insights. Gaining these insights requires translating business needs into data requirements, scaling IT’s foundational data work, and ensuring financial stakeholders have timely, accurate, and actionable insights through dashboards. By acting as a finance resource, this role bridges gaps between multiple teams, driving consistency, scalability, and enhanced data usage across the enterprise.

This position requires a data science mindset—an ability to understand how data can be structured, modeled, and leveraged to inform predictive analytics, process automation, and emerging technologies such as Chatbots, Microsoft Co-Pilot, and Robotic Process Automation (RPA). A core focus of this role is creating intuitive, scalable, and visually impactful dashboards that empower finance and business leaders to make better, faster decisions as well as developing tools and sustainable methods to improve productivity

The ideal candidate combines technical expertise in data modeling, AI, visualization, and integration with strong business acumen to bridge the gap between raw data and strategic insight.

Essential Functions:

• Drive the strategic development of scalable, enterprise-wide leadership dashboards and reporting ecosystems (e.g., Power BI), ensuring alignment with organizational priorities and executive decision-making needs.

• Collaborate with IT and the Data & Analytics Center of Excellence to leverage existing data platforms (Databricks) while tailoring solutions for finance-specific needs.

• Lead cross-functional alignment on key performance metrics and reporting standards, ensuring consistency, transparency, and strategic relevance across business units and corporate functions.

• Oversee the documentation and optimization of finance-related data architecture, identifying opportunities to scale IT infrastructure for broader business and financial transformation.

• Provide oversight between business units and finance, ensuring operational data is translated into meaningful financial insights.

•  Champion the  integration and data transformation from various structured and unstructured sources, ensuring finance has clean, reliable data for analysis.

• Identify data gaps and coordinate with IT, finance, and business stakeholders to improve data quality, governance, and accessibility.

• Support finance-driven data science and automation initiatives, providing the foundational data models and insights needed for advanced analytics and RPA.

• Act as enterprise subject matter expert to multiple stakeholder groups, ensuring financial leaders and business partners can effectively leverage the organization’s data and technology investments.

• Serve as a subject matter expert for data analysis within finance

• Stay ahead of emerging trends in data analytics and automation, proactively identifying opportunities to enhance finance’s analytical maturity and digital capabilities.

• Lead the design and implementation of enterprise automation framework

Other Important Details about the Role:

This position exercises autonomy while reporting in a matrixed environment (to both the functional and business teams). The ability and desire to navigate competing priorities and execute in a fast-paced, dynamic environment is vital.  The individual must demonstrate business acumen specific to the teams they support while driving best practices in financial data and analytics. Individuals are expected to learn and utilize technological tools and resources to drive continuous improvement in our planning and forecasting processes. 

Required Qualifications of Every Candidate:

• Preferred Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Finance, Business Analytics, or a related field with 8+years of experience or associates degree with 10+ years of experience or 12+ years of experience.

• 3+ years of experience working with large data sets, data modeling, and visualization tools.

• 3+ years of experience with data lakes, AI tools (SAP, Oracle, Palantir, etc.), Power BI and similar

• Strong proficiency with Power BI (or similar BI tools) for creating scalable, professional dashboards.

• Working knowledge of Databricks, Azure SQL databases, or other cloud-based data environments.

• Understanding of data warehouses, relational databases, and ETL concepts.

• Ability to work with cross-functional stakeholders to translate business requirements into technical solutions.

• Experience in data manipulation and transformation using SQL or similar query languages.

Highly Qualified Candidates Will Also Possess These Qualifications:

• Experience with Python for data wrangling or light analytics.

• Familiarity with machine learning concepts (regression, classification, applied statistics) to support data science initiatives.

• Exposure to Microsoft Co-Pilot, RPA tools, or chatbot frameworks.

• Understanding of data governance and master data management principles.

• Experience integrating multiple ERP, CRM, or operational data sources into a single analytics layer.

• Background in process automation or workflow optimization.

• Experience building machine learning models

• Project management skillsets

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. 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 match

• Paid time off

• Employer paid life insurance

• Employer paid short-term and long-term disability including maternity leave

• Work Life Support

• Tuition Reimbursement up to $5,250 per year

• Voluntary programs like tobacco cessation, Type 2 diabetes reversal, one-on-one health coaching, mortgage services and more

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 EEOCompliance@Valmont.com.