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Director of Finance Data & Analytics
Valmont Industries, Inc.
Valmont Industries provides infrastructure and agricultural solutions through advanced technologies.
Lead finance data & analytics strategy, delivering dashboards and insights enterprise-wide.
Champion the integration and data transformation from various structured and unstructured sources, ensuring finance has clean, reliable data for analysis.
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.
Stay ahead of emerging trends in data analytics and automation, proactively identifying opportunities to enhance finance’s analytical maturity and digital capabilities.
Support finance-driven data science and automation initiatives, providing the foundational data models and insights needed for advanced analytics and RPA.
Lead cross-functional alignment on key performance metrics and reporting standards, ensuring consistency, transparency, and strategic relevance across business units and corporate functions.
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.
Oversee the documentation and optimization of finance-related data architecture, identifying opportunities to scale IT infrastructure for broader business and financial transformation.
Identify data gaps and coordinate with IT, finance, and business stakeholders to improve data quality, governance, and accessibility.
Serve as a subject matter expert for data analysis within finance
Provide oversight between business units and finance, ensuring operational data is translated into meaningful financial insights.
Lead the design and implementation of enterprise automation framework
Collaborate with IT and the Data & Analytics Center of Excellence to leverage existing data platforms (Databricks) while tailoring solutions for finance-specific needs.
What you bring
power bi
python
sql
databricks
etl
bachelor's
3+ years of experience working with large data sets, data modeling, and visualization tools.
Working knowledge of Databricks, Azure SQL databases, or other cloud-based data environments.
Ability to work with cross-functional stakeholders to translate business requirements into technical solutions.
Understanding of data governance and master data management principles.
Strong proficiency with Power BI (or similar BI tools) for creating scalable, professional dashboards.
Experience in data manipulation and transformation using SQL or similar query languages.
Background in process automation or workflow optimization.
Experience with Python for data wrangling or light analytics.
Exposure to Microsoft Co-Pilot, RPA tools, or chatbot frameworks.
3+ years of experience with data lakes, AI tools (SAP, Oracle, Palantir, etc.), Power BI and similar
Experience integrating multiple ERP, CRM, or operational data sources into a single analytics layer.
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.
Understanding of data warehouses, relational databases, and ETL concepts.
Experience building machine learning models
Familiarity with machine learning concepts (regression, classification, applied statistics) to support data science initiatives.
Project management skillsets
Benefits
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
Healthcare (medical, prescription drugs, dental and vision)
Employer paid short-term and long-term disability including maternity leave
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