Related skills
sql python excel logistics schedulingπ Description
- Produce regular and ad-hoc analysis on container shipping trends (vessel utilisation, trade flows, terminal performances, disruptions)
- Monitor key trade lanes and provide commentary on supply/demand dynamics
- Track port and terminal performance metrics
- Support client-facing reports and thought leadership content
- Respond to client and internal data requests
- Provide domain expertise feedback to the product team
π― Requirements
- 1β3 years at a shipping line, terminal operator, or port authority; practical knowledge of container shipping operations and market dynamics
- Data analysis (Excel, Python or SQL a plus)
- Strong written English
- Understanding of vessel scheduling and service structure
- Curious, detail-oriented, collaborative, able to work autonomously
- Bachelor's degree in Maritime Studies, International Trade, Economics, or equivalent (relevant experience considered in lieu)
π Benefits
- Global team of 700+ experts
- Cutting-edge maritime intelligence platform
- Equal opportunity employer
- Staff Privacy Notice compliance
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