Supply Chain Data Analyst

TERREPOWERDallas, TX
6h

About The Position

Position Summary The Supply Chain Data Analyst supports operational performance across distribution and transportation functions. This role collects, analyzes, and visualizes data to improve accuracy, reduce cost, and drive efficiency across the distribution network. The analyst will partner with Distribution Centers, Logistics, SIOP, and internal stakeholders to build KPI reporting, develop dashboards, and deliver meaningful insights that support informed decision‑making.

Requirements

  • Bachelor’s degree in supply chain, Business, Analytics, Engineering, or related field (or equivalent experience).
  • 1–3+ years of experience in supply chain, distribution, logistics, or business data analytics.
  • Strong Excel skills (pivot tables, lookups, formulas, data modeling).
  • Proficiency with SQL for querying and joining datasets.
  • Experience building and maintaining Power BI dashboards.
  • Ability to simplify complex data into clear visuals and actionable insights.
  • Analytical & Detail ‑ Oriented
  • Operational Efficiency Mindset
  • KPI Reporting & Performance Tracking

Nice To Haves

  • Experience working with ERP or WMS systems.
  • Understanding of warehouse and transportation operations.
  • Exposure to Lean or continuous improvement practices.

Responsibilities

  • Inventory Analysis & Support Monitor inventory accuracy, movement, and levels across multiple distribution centers. Perform root ‑ cause analysis on variances, shrink, cycle count results, and aged inventory. Provide recommendations that improve inventory control processes and reduce waste. Refresh weekly inventory health data and release inventory health files for DCs. Run and review weekly requisition summaries. Clean up PO lines and cancel incorrect orders.
  • Transportation & Logistics Analytics Analyze freight spend, carrier performance, delivery reliability, and route efficiency. Support cost reduction efforts and service improvement initiatives across the transportation network. Develop reporting to track trends and highlight operational risks and opportunities.
  • Operational Efficiency & Continuous Improvement Identify performance gaps and process bottlenecks using data ‑ driven analysis. Support Lean and continuous improvement efforts in warehousing and logistics. Convert insights into practical action steps that improve throughput, service, and cost. Support daily data maintenance and clean ‑ up, including fixing missing supplier/sub inventory relationships and cross ‑ references. Update planning codes in each ORG as needed.
  • KPI Reporting & Dashboard Ownership Define and maintain key operational KPIs (fill rate, OTIF, accuracy, turns, cost per unit, transit times, etc.). Develop, enhance, and maintain Power BI dashboards to provide real ‑ time visibility to DC and Logistics leadership. Ensure dashboards remain accurate, reliable, and aligned to changing business needs. Refresh weekly KPI datasets and reporting dashboards.
  • Data Extraction & Management Use Excel and SQL to extract, clean, integrate, and validate data from ERP, WMS, and transportation systems. Maintain data integrity and support ongoing improvements in data structure and metric governance. Standardize reporting templates and ensure a consistent “single source of truth” for performance data. Book special POs and manage manual inventory receipts as needed.
  • Purchase ‑ Order (PO) Management & Releases Release DC purchase orders. Release Canada cross-dock purchase orders. Manual intercompany inventory transfers.
  • Min ‑ Max & Stock ‑ Level Control Validate reorder quantities and release appropriate POs. Coordinate with plants and DCs to ensure adequate stock levels.
  • New Customer Brand Table Setup Map brands to new customers. Process customer brand table change requests.
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