Data Analyst - Vessel Particulars

About the role

Kpler, which provides global trade intelligence for commodities, energy and maritime sectors, is looking for a Data Analyst within its Data Platform team. You will maintain and improve the accuracy, completeness and reliability of vessel particulars datasets, combining hands-on data curation with independent analysis. You will work closely with the Vessel Data Manager, Market Analysts, Product and Engineering teams.

Key responsibilities

• Own the end-to-end quality of assigned vessel particulars datasets, including specifications, ownership, classification and technical attributes.
• Research and validate vessel data from multiple sources, and analyse datasets to find gaps and anomalies.
• Create and maintain SQL- and Python-based workflows to automate data collection, cleansing and enrichment.
• Develop dashboards and reports to monitor vessel data quality and give Market Analysts vessel-level insights.
• Support the integration of new vessel data sources, including scoping, testing and validating incoming feeds.
• Investigate and resolve data quality issues raised internally or by customers, and document data logic, business rules and definitions.
• Work with Product and Engineering teams to turn data quality findings into platform and pipeline improvements.

Required profile

• 2-4 years of experience in a data analyst, data quality or data operations role.
• Demonstrable knowledge of vessel data and maritime shipping concepts, and experience with large real-world vessel particulars datasets.
• Experience in the maritime industry.
• Strong analytical, ownership and communication skills, able to work independently and with both technical and non-technical stakeholders.

Required skills

• SQL for querying, cleansing and analysis.
• Data validation, monitoring and quality-improvement techniques.
• Nice to have: data visualisation tools, ETL processes and web scraping, Python for analysis and automation, APIs for data ingestion, data pipelines, and familiarity with maritime data sources.