Data Analyst

Data Analysis & Predictive Modelling:

• Analyse historical and real-time incident data to identify patterns, trends, and risk factors contributing to maritime incidents.


• Use advanced statistical techniques and machine learning algorithms to develop predictive models that forecast potential risks and maritime incidents.


• Integrate external factors such as environmental conditions, vessel type, and human factors into the predictive models to improve accuracy.

Real-Time Data Processing & IoT Integration:

• Utilize real-time data from IoT devices installed on vessels to monitor parameters such as engine performance, weather conditions, and crew activities.


• Implement tools for real-time decision-making to help manage ongoing incidents, optimize shipping routes, and improve response times.

Real-Time Data Processing & IoT Integration:

• Utilize real-time data from IoT devices installed on vessels to monitor parameters such as engine performance, weather conditions, and crew activities.


• Implement tools for real-time decision-making to help manage ongoing incidents, optimize shipping routes, and improve response times.

Dashboard Creation & Data Visualization:

• Design interactive dashboards to visualize data and provide key insights into incident trends and patterns.


• Develop reporting tools to ensure that relevant stakeholders can easily access and interpret complex data for informed decision-making.

Training & Knowledge Transfer:

Provide training to DGS personnel on the use of dashboards, data analytics tools, and techniques for interpreting incident data.

Consultant/ Resource Educational Qualifications Experience Skills and Expertise

Data Analytics Expert - Master s in Statistics, Data Science, Operations Research, or related field (Maritime domain) - Proficiency in analytical tools (R, Python) and visualization platforms (Power BI, Tableau)

Minimum 1 years of relevant experience in data analytics within maritime or logistics sectors or safety management - Expertise in predictive modelling, IoT, and Big Data

Minimum 1 year of relevant experience in data analytics within maritime or logistics sectors