Director Commercial Analytics
HybridChattanooga, Tennessee, United States or Cartersville, Georgia, United States
Job Summary
Lead the Commercial Analytics vision, strategy, and multi-year roadmap aligned with Commercial and Strategy & Insights priorities. Translate business goals into a portfolio of analytics capabilities, forecasting tools, and advanced initiatives that drive growth, sales productivity, and margin performance. Partner with leadership across Sales, Pricing, Finance, and Demand Planning to strengthen performance frameworks, scenario modeling, and decision support. Advance the analytics ecosystem by scaling predictive analytics, AI-enabled insights, and automation while ensuring alignment with enterprise architecture and data governance. Build and mentor a high-performing team across business intelligence, data engineering, and data science to deliver measurable business value. Requires minimum 3 days onsite in office.
Required Qualifications
- Bachelor's degree in Analytics, Statistics, Data Science, Computer Science, Engineering, Business, Finance, Economics, Marketing, Information Systems, or a related field
- 10+ years of progressive experience in analytics, business intelligence, commercial analytics, data strategy, analytics engineering, data science, or related disciplines
- Demonstrated experience leading analytics teams and developing technical talent
- Strong commercial acumen with the ability to understand sales, pricing, customer, product, forecasting, operational, and financial performance drivers
- Experience influencing senior leadership through data, insights, and business recommendations
- Experience leading analytics initiatives from strategy and roadmap development through adoption and business value realization
- Strong knowledge of modern analytics platforms and tools, including SQL, Power BI, Tableau, Databricks, and cloud-based analytics environments
- Ability to connect analytical capabilities to measurable business outcomes
- Ability to come onsite minimum 3 days a week
Desired Qualifications
- MBA or Master's degree in Business Analytics, Data Science, Statistics, Computer Science, Finance, Economics, or a related field
- Experience supporting Commercial Sales, Marketing, Pricing, Revenue Management, Forecasting, Demand Planning, or Business Strategy functions
- Experience with Databricks, data engineering, modern data architecture, and analytics operating models
- Experience with predictive analytics, forecasting, customer segmentation, opportunity modeling, AI-enabled analytics, or data science applications
- Experience in manufacturing, building products, flooring, distribution, or other complex B2B commercial environments
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