Valmont Industries-posted 2 months ago
Full-time • Senior
Omaha, NE
5,001-10,000 employees
Fabricated Metal Product Manufacturing

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.

  • 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.
  • 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.
  • 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.
  • 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
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