Supply Chain AI Analyst
Impact: Supply chain efficiency and resilience through expert AI-powered supply chain analysis
Apply AI and machine learning to supply chain operations to improve demand forecasting, inventory optimisation, supplier risk management, and logistics efficiency. Build predictive models, analyse supply chain data, identify optimisation opportunities, and work with operations teams to implement AI-powered supply chain improvements.
What the day looks like
- People interaction
- Moderate
- Team vs solo
- 60% Team / 40% Solo
- Client facing
- Sometimes
- Impact visibility
- Moderate
- Travel
- 10 to 20% for supplier visits and operations reviews
- Schedule flexibility
- Moderate
- Remote work
- Hybrid
- Typical work hours
- 40 to 55 hours/week
- Stress level
- Low
At a glance
- Median salary
- $155,000
- Entry-level
- $85,000 - $115,000
- Senior
- $260,000+
- Growth by 2033
- 18% (faster than average)
- Demand
- Growing
- Freelance potential
- Low
- Salary growth potential
- High - 65 to 80% growth from entry to senior
- Typical student debt
- Low
Skills you'll use
Hard skills
- 55
Soft skills
- 45
Technical complexity: Moderate
How to get there
- Minimum education
- Bachelor's Degree
- Licensing
- No
- Years to mid-career
- 2 to 4 years
- Years to senior
- 5 to 8 years
- Career switching
- Moderate
Where this career leads
How people arrive here
Where you can go from here
Typical progression
- Supply Chain Analyst > Supply Chain Data Scientist > Supply Chain AI Analyst > Head of Supply Chain Analytics > VP of Supply Chain
Future outlook
- Automation probability
- 20% moderate risk as AI automates more supply chain analysis
- AI disruption risk
- Moderate
- Demand trend
- Growing
How people feel about it
- Overall satisfaction
- 7/10
- Meaning
- 7/10
- Work-life balance
- 6.5/10
- Prestige
- 7/10
- Social perception
- High