Logistics Analyst (13-1081.02)
Career Family
Business & Operations → Logistics & Supply Chain
Fit Summary
Investigative–Conventional; ISTJ/INTJ who enjoy data, processes, and continuous improvement.
Career Overview
Analyze supply-chain data and operations; model networks, transportation, and inventory; recommend improvements; create dashboards and KPIs; coordinate with procurement, operations, and carriers.
Credential Pathways
Typical Education: Bachelor’s in supply chain, industrial engineering, or operations; analytics tools (Excel/SQL) (Job Zone 4).
Pathways: Coordinator → analyst → senior → supply chain manager or S&OP; certifications (CSCP/CLTD).
Regulatory Moat: Regulatory knowledge (customs/hazmat), contracts, and systems expertise (WMS/TMS/ERP).
Alternative Pathways: Transition from planner or operations to analytics; military logistics background.
Environment & Lifestyle
- Work Environment: Offices/DCs; cross-functional collaboration.
- Sensory/Social Load: High during disruptions/peaks.
- Physicality/Fieldwork: Low; site visits.
- Geographic Anchoring: Nationwide; logistics hubs near ports and corridors.
- Remote Amenability: High—analysis hybrid-friendly.
Future-Proofing Snapshot
- AI Augmentation Potential: High — forecasting, optimization, and visibility platforms.
- AI Displacement Risk: Low — judgment under uncertainty.
- AI New Task Creation: Some — resilience modeling and ESG tracking.
- AI Skill Shift Intensity: High — data tools and scenario modeling.
- Automation Risk Score: Low.
- Human-Core Score: Strong — coordination and decision-making.
- Overall Vulnerability/Resilience: Resilient with supply-chain complexity.
- Emerging Trends: Nearshoring, automation orchestration, digital twins.
Risks / Watchpoints
- Data quality and model risk
- Disruption stress
- Supplier/transport volatility
Notes on Fit
Great for structured thinkers who like diagnosing bottlenecks and improving reliability.
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