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Kpler is a global intelligence platform founded in 2014 that simplifies complex trade information across commodities, energy, and maritime sectors. With over 850 experts across 69 countries, the company transforms intricate data into actionable strategies for clients navigating dynamic markets.
In this Data Analyst role focused on Vessel Particulars, you will own the end-to-end quality of vessel datasets including specifications, ownership, classification, and technical attributes. Your responsibilities include researching and validating vessel data from multiple sources to ensure accuracy, consistency, and completeness. You will analyze datasets to identify gaps and anomalies, developing and running validation checks to improve data quality and coverage.
You will create and maintain SQL- and Python-based workflows to automate recurring data collection, cleansing, and enrichment tasks. You'll develop dashboards and reports to monitor vessel data quality and provide Market Analysts with vessel-level insights. The role involves supporting integration of new vessel data sources through scoping, testing, and validation of incoming feeds.
You will investigate and resolve data quality issues raised by internal teams or customers, identifying root causes and implementing fixes. Documentation of data logic, business rules, and definitions ensures consistency across vessel particulars data standards. Collaboration with Product and Engineering teams is essential to translate data quality findings into platform and pipeline improvements. You will work proactively with the Vessel Data Manager, taking ownership of issues independently while communicating clearly and recommending solutions.
Kpler emphasizes a culture of decisive action, collaborative problem-solving, and accessibility. The company is committed to diversity and inclusion, welcoming people of different backgrounds and perspectives.
REQUIREMENTS:
- 2–4 years of experience in a data analyst, data quality, or data operations role
- Experience working with SQL for data querying, cleansing, and analysis
- Demonstrable knowledge of vessel data and maritime shipping concepts
- Experience working with large, real-world datasets, particularly vessel particulars
- Experience in the maritime industry
- Strong analytical skills with a structured and detail-oriented approach to problem-solving
- Experience with data validation, monitoring, and quality-improvement techniques
- Strong ownership and accountability, with ability to work independently and prioritize effectively
- Clear communication skills and ability to work with technical and non-technical stakeholders
NICE TO HAVE:
- Familiarity with data visualization 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
