Supply Chain Data Analyst

What does a Supply Chain Data Analyst do?

A Supply Chain Data Analyst transforms raw logistics data into actionable insights that drive smarter decisions across operations, planning, and customer service. They collect, clean, and interpret data from multiple systems to identify cost drivers, performance gaps, and opportunities for optimization. This role blends analytical expertise with real-world logistics understanding—requiring human judgment to interpret trends, validate anomalies, and communicate findings clearly to business leaders.

Tier 1

.

 1 to 2
years of
experience

Tier 2

.

 3 to 5
years of
experience

Tier 3

.

 > 5
years of
experience

ABOUT THE ROLE

Roles and Responsibilities

  • Gather and analyze logistics data from transportation, warehouse, and fulfillment systems.
  • Identify inefficiencies, trends, and opportunities to improve delivery performance and cost control.
  • Create dashboards and reports that visualize key supply chain metrics for stakeholders.
  • Collaborate with operations and finance teams to support planning and forecasting initiatives.
  • Validate data accuracy and reconcile discrepancies across systems and reports.
  • Provide data-driven recommendations to enhance service quality, scalability, and efficiency.

Day-to-Day Duties

  • Extract and clean data from TMS, WMS, and ERP platforms for reporting.
  • Analyze shipment costs, lead times, and carrier performance to track efficiency.
  • Build and maintain KPI dashboards for on-time delivery, utilization, and cost-per-load.
  • Present findings to operations teams through weekly or monthly performance summaries.
  • Collaborate with IT and analytics teams to automate reporting workflows.
  • Support leadership in strategic decision-making with timely, accurate insights.

SKILLS AND TOOLS

Soft Skills

  • Analytical and critical thinking
  • Problem-solving and strategic interpretation
  • Attention to detail and data accuracy
  • Communication and storytelling with data
  • Collaboration and adaptability
  • Business acumen and curiosity

Hard Skills

  • Proficiency in data analysis and visualization tools
  • Strong command of SQL and Excel functions for reporting
  • Familiarity with TMS, WMS, and ERP data sources
  • Experience with forecasting and statistical analysis
  • Data cleaning, transformation, and validation
  • Reporting automation and performance tracking

Tools

Power BI or Tableau 85%
SQL or Python 80%
Microsoft Excel or Google Sheets 95%

Education

Common Educational Backgrounds and Careers for this Role:

  • Supply Chain and Logistics Management
  • Data Analytics or Data Science
  • Business Intelligence and Reporting
  • Operations Management
  • Industrial Engineering
  • Mathematics or Statistics
  • Bachelor’s Degree
  • Master’s Degree (preferred for senior analysts)

CANDIDATES TESTS

Tests & Evaluations for Candidates

Shipment Coordination & Scheduling

Assesses ability to interpret logistics data, optimize delivery schedules, and coordinate shipment timelines using analytics and forecasting tools.

8/10

Strong organizational and decision-making skills ensure candidates can manage multiple shipments, prioritize schedules, and maintain delivery precision under time constraints.

Communication & Problem-Solving Simulation

Evaluates communication clarity, analytical reasoning, and responsiveness when resolving shipment discrepancies, data gaps, or performance issues.

8/10

Effective communication and responsiveness demonstrate the candidate’s ability to collaborate across teams, resolve delivery issues, and keep stakeholders informed.

Documentation & Reporting Accuracy

Measures precision in maintaining clean datasets, generating dashboards, and creating analytical reports that support supply chain decision-making.

8/10

High attention to detail ensures candidates can maintain complete shipment records, track performance metrics, and support audit-ready documentation.