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• Data Collection & Analysis: Captures, processes, prepares, and analyzes complex datasets to extract significant insights. Develop and maintain automated reporting systems to streamline data analysis.
Stakeholder Management: Cultivates and maintains positive partner relationships to understand their data needs, provides insights and finds improvement opportunities, and ensures reporting solutions address key objectives.
Reporting & Visualization: Builds detailed reports and dashboards using various tools, designs and implements data visualizations to communicate complex data clearly.
Statistical Analysis: Performs statistical analysis to identify trends, patterns, and anomalies in data using statistical software for data manipulation and analysis.
Process Improvement: Identifies opportunities to improve data collection and reporting processes and implements standard methodologies for data management and reporting.
Collaboration: Works closely with cross-functional teams to understand data needs, value opportunities and delivers solutions in partnership with digital technology and data engineering teams to ensure data integrity and accuracy.
Literacy: Coaches and advises to mature data consumption and analytics capabilities.
Data Analysis: Conducts complex data analyses to uncover trends, patterns, and actionable insights for decision making.
Quality Assurance & Data Validation: Ensures the accuracy, consistency, and security of data across all reports and analyses.

Bachelor’s degree in Maritime Studies, Logistics, Business Analytics, Management, Commerce, Engineering, or a related field.

• 7–10 years of relevant work experience in cargo analytics, vessel domain, or commodity trading analytics.

• Strong knowledge of vessel class families, fixtures, and ocean transportation operations.

• Proficiency in data visualization tools (e.g., Power BI, Tableau).

• Familiarity with maritime data sources and trading platforms.

• Excellent analytical, communication, and stakeholder management skills.