Supply Chain Data Analyst

BBB External Career Site•Dallas, TX

46d

About The Position

The Supply Chain Data Analyst supports operational performance across distribution and transportation functions. This role collects, analyzes, and visualizes data to improve accuracy, reduce costs, 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.
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.
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.
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.
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.