Smart Ship Hub Digital
Singapore | Japan | India
About The Role
We are seeking a detail-oriented
Voyage Optimisation Analyst to analyse vessel performance, optimise voyage planning, and support decision-making for efficient and safe maritime operations. The ideal candidate will work closely with fleet, operations, and data teams to improve fuel efficiency, reduce emissions, and enhance voyage outcomes using data-driven insights.
Key Responsibilities
- Monitor, analyze, and optimize vessel voyages for fuel efficiency, ETA accuracy, and safe routing.
- Evaluate weather forecasts, metocean data, and vessel performance indicators to recommend optimal voyage plans.
- Track key KPIs including speed loss, fuel consumption, engine load, CII rating, and trim optimization.
- Perform pre-voyage, mid-voyage, and post-voyage analysis using AIS, noon reports, and sensor data.
- Assess risks related to weather, piracy zones, currents, and routing compliance.
- Prepare regular reports on voyage performance, deviations, and fuel efficiency improvements.
- Work with voyage optimization software and marine analytics platforms (e.g., StormGeo, DNV, Veson, Navis).
- Support decision-making for route changes, speed adjustments, and operational recommendations.
- Collaborate with fleet operations, masters, and technical teams to ensure alignment with voyage plans.
- Contribute to emission reduction efforts aligned with IMO regulations (CII, EEXI, MRV, EU ETS).
Required Skills & Competencies
Maritime Knowledge
- Understanding of vessel navigation, voyage planning, and routing
- Knowledge of fuel optimization concepts (speed, RPM, trim, draft)
- Familiarity with IMO compliance standards
Technical Skills
- AIS/Weather data interpretation
- Proficiency in Excel, Python, or data analytics tools
- Experience with voyage optimization platforms (StormGeo, DNV, Veson, Navis, etc.)
- Ability to assess metocean datasets (wind, waves, currents)
- Exposure to GIS tools (QGIS/ArcGIS) is a plus
Analytical Skills
- Strong data interpretation and problem-solving skills
- Time-series analysis and performance comparison
- KPI analysis (fuel consumption, CII score, speed loss, route deviation)
Soft Skills
- Strong communication and reporting skills
- Attention to detail and accuracy
- Ability to work under pressure with time-sensitive decisions
- Cross-team collaboration with marine, fleet, and engineering teams
Qualifications
- Bachelor's degree in Marine Engineering, Nautical Science, Data Analytics, or related field
- 1-4 years of experience in maritime operations, vessel performance, or voyage optimization (preferred)
- Certification in navigation, marine operations, or analytics is a plus
