Kpler
Data Analyst (Vessel Particulars)
- Location
- Greece
- Work type
- Hybrid · Full-time
- Salary
- Not listed
- Posted
- (3 weeks ago)
About the role
As a Data Analyst within our Data Platform team, you will play a key role in maintaining and enhancing the accuracy, completeness and reliability of Kpler’s vessel particulars datasets. Your work will underpin our core products and commercial decisions by ensuring that vessel-level data is accurate, consistent and comprehensive.
Combining hands-on data curation with independent analysis, you will research and validate information from multiple sources, identify data gaps and anomalies, and develop processes to improve data quality. You will take ownership of specific vessel data domains while helping automate recurring tasks and strengthen the reliability of our data pipelines.
Working closely with the Vessel Data Manager, Market Analysts, Product and Engineering teams, you will contribute to continuous improvements in our vessel data capabilities and ensure that our datasets meet the needs of internal teams and customers.
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, ensuring accuracy, consistency and completeness.
- Analyse datasets to identify data gaps and anomalies, developing and running validation checks to improve data quality and coverage.
- Create and maintain SQL- and Python-based workflows to automate recurring data collection, cleansing and enrichment tasks.
- Develop dashboards and reports to monitor vessel data quality, providing Market Analysts with relevant vessel-level insights.
- Support the integration of new vessel data sources, including scoping, testing and validating incoming data feeds.
- Investigate and resolve data quality issues raised by internal teams or customers, identifying root causes and implementing fixes.
- Document data logic, business rules and definitions to ensure consistency and adherence to vessel particulars data standards.
- Collaborate with Product and Engineering teams to translate data quality findings into platform and pipeline improvements.
- Work proactively with the Vessel Data Manager, taking ownership of issues independently, communicating clearly and recommending solutions.
Skills and Experience
Nice to have
- Familiarity with data visualisation tools and dashboarding.
- Practical experience with ETL processes and/or web scraping for data collection.
- Experience using Python for data analysis and automation.
- Experience working with APIs for data ingestion and validation.
- Experience building or maintaining data pipelines.
- Familiarity with maritime data sources.