Supply Chain Data Analyst — AI & Inventory Optimization

CornerStone Technology Talent Services

United States

Hybrid

USD 85,000 - 120,000

Full time

4 days ago
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Job summary

CornerStone Technology Talent Services is seeking a Supply Chain Data Analyst to support a DFW-area client in a hybrid, full-time capacity. The role focuses on turning data into actionable insights across end-to-end supply chain processes.

The ideal candidate combines manufacturing and distribution experience with advanced Excel, Power BI, SQL, and data integration skills to optimize inventory, forecasting, and KPI reporting.

Qualifications

  • 5+ years of supply chain analytics, planning, sourcing, or related experience.
  • Hands-on manufacturing AND distribution experience.
  • Advanced Excel.
  • Power BI & Power Query.
  • SQL and data mining/analytics.
  • Strong understanding of demand planning, inventory, ERP/MRP, and supply chain processes.
  • Strong communication, collaboration, and business acumen.
  • High EQ, ownership, self-discipline, and sense of urgency.

Responsibilities

  • Demand forecasting and lead-time analysis.
  • Freight and transportation analytics.
  • Safety stock and inventory optimization.
  • Supply chain/process improvement.
  • Data and systems integration.
  • KPI development and operational analytics.
  • AI adoption within Supply Chain.
  • Analyzing data across Oracle, Salesforce, and other systems.

Skills

Advanced Excel
Power BI
Power Query
SQL
Data mining/analytics
Demand planning
Inventory management
ERP/MRP
Communication
Business acumen
EQ / ownership

Tools

Oracle
Salesforce
ERP systems

Job description

CornerStone Technology Talent Services is seeking a Supply Chain Data Analyst to support a DFW-area client in a hybrid, full-time capacity. The role focuses on turning data into actionable insights across end-to-end supply chain processes.

The ideal candidate combines manufacturing and distribution experience with advanced Excel, Power BI, SQL, and data integration skills to optimize inventory, forecasting, and KPI reporting.

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