Logistics Data Analyst
Impact: Transforming logistics data into operational insights that reduce costs, improve service, and build supply chain resilience
Analyse logistics and supply chain data to identify operational inefficiencies, cost reduction opportunities, and performance improvement initiatives. Extract and analyse data from transport management systems, warehouse management systems, and ERP platforms; build performance dashboards; develop KPI reporting; and present data-driven recommendations to logistics leadership. Develop expertise in a specific logistics analytics domain such as transport optimisation, warehouse efficiency, or demand forecasting.
What the day looks like
- People interaction
- Moderate
- Team vs solo
- 40% Team / 60% Solo
- Client facing
- Sometimes
- Impact visibility
- High
- Travel
- Minimal
- Schedule flexibility
- Flexible
- Remote work
- Hybrid
- Typical work hours
- 38-50 hours/week
- Stress level
- Moderate
At a glance
- Median salary
- $58,000
- Entry-level
- $32,000 - $45,000
- Senior
- $90,000+
- Growth by 2033
- 15% (logistics digitalisation and supply chain analytics growing rapidly)
- Demand
- Growing
- Freelance potential
- Moderate
- Salary growth potential
- Very High -- 100-200% growth from logistics analyst to supply chain analytics director
- Typical student debt
- $20,000 - $50,000
Skills you'll use
Hard skills
- SQL and data querying
- Python or R for logistics analytics
- Power BI or Tableau dashboards
- Transport management system data extraction
- Warehouse management system analytics
- Demand forecasting models
Soft skills
- Analytical thinking
- Data storytelling
- Communication
- Problem-solving
- Attention to detail
Technical complexity: High
How to get there
- Minimum education
- Bachelor's Degree
- Licensing
- No
- Years to mid-career
- 2-4 years
- Years to senior
- 5-10 years
- Career switching
- Moderate
Where this career leads
How people arrive here
- Data Analyst
- Logistics Coordinator
Where you can go from here
- Analytics Manager
- Supply Chain Analytics Director
Typical progression
- Logistics Analyst
- Senior Analyst
- Analytics Manager
- Supply Chain Analytics Director
Future outlook
- Automation probability
- 20% -- logistics analytics requires human interpretation and business context
- AI disruption risk
- Moderate
- Demand trend
- Growing
How people feel about it
- Overall satisfaction
- 7.5/10
- Meaning
- 7.5/10
- Work-life balance
- 7.5/10
- Prestige
- 7.5/10
- Social perception
- High