Senior Supply Chain Data Analyst (Analytics, ML & AI)

TL;DR

Senior Supply Chain Data Analyst (Analytics, ML & AI): Driving operational improvements through advanced analytics, performance management, supply chain optimization, and applied machine learning solutions with an accent on forecasting, inventory management, service levels, and cost efficiency. Focus on developing predictive models, KPI dashboards, and scalable AI capabilities to support data-driven decisions and executive reporting.

Location: Remote (Irving, TX HQ)

Salary: $86,025–$110,000

Company

America’s largest supplier of building materials, value-added components, and building services to the professional market.

What you will do

• Own development of supply chain KPIs, dashboards, and executive reporting using Power BI and enterprise platforms.
• Define and monitor metrics like forecast accuracy, inventory turns, service levels, and cost performance.
• Apply statistical and machine learning techniques to enhance forecasting, inventory optimization, and supply chain efficiency.
• Design, develop, validate, and monitor predictive models aligned to operational decisions.
• Conduct scenario modeling for inventory, logistics, and service-level optimization.
• Leverage Databricks for scalable data analysis, ML development, and reporting; ensure data integrity.
• Communicate insights to technical and non-technical stakeholders.

Requirements

• Bachelor’s degree in Engineering, Computer Science, Statistics, Economics, Supply Chain, or related quantitative field.
• 5+ years in supply chain analytics, operations analytics, business analytics, machine learning, or data science.
• Experience developing dashboards, KPI frameworks, and executive reporting.
• Demonstrated experience building and applying statistical or ML models in business.
• Proficiency in SQL and at least one analytical language/platform (Python, R, SAS, JMP, Databricks).
• Strong ability to translate business problems into analytical and predictive solutions.

Nice to have

• Experience using Power BI for dashboards and reporting.
• Experience with Databricks or similar ML platforms.
• Predictive analytics in forecasting, inventory, or logistics.
• Partnering with IT for scalable analytics/ML solutions.

Culture & Benefits

• Competitive benefits: medical, dental, vision, disability insurance, 401(k), PTO, paid sick time, 8 paid holidays.
• Annual bonus eligibility based on company performance.
• Professional development through training, tools, and technologies.
• Collaborative, people-first environment with opportunities to explore diverse roles.
• Focus on innovation, problem-solving, and career growth.