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Kpler is a global trade intelligence platform founded in 2014, serving over 850 experts across 69 countries. The company simplifies complex market data in commodities, energy, and maritime sectors, enabling organizations to make informed decisions.
As a Senior Data Analyst within the Data Platform team, you will be the subject matter expert for Kpler's company and ownership datasets. You will own end-to-end quality of vessel particulars datasets, including specifications, ownership, classification, and technical attributes. Your deep understanding of the maritime industry and corporate structures will establish a reliable source of truth for asset ownership, supporting the wider data platform strategy.
Key responsibilities include:
- Owning the quality and accuracy of assigned vessel particulars datasets
- Researching and validating vessel data from multiple sources for consistency and completeness
- Analyzing datasets to identify gaps and anomalies, developing validation checks to improve data quality
- Creating and maintaining SQL and Python-based workflows to automate data collection, cleansing, and enrichment
- Developing dashboards and reports to monitor vessel data quality and provide market analysts with vessel-level insights
- Supporting integration of new vessel data sources through scoping, testing, and validation
- Investigating and resolving data quality issues, identifying root causes and implementing fixes
- Documenting data logic, business rules, and definitions to ensure consistency with data standards
- Collaborating with Product and Engineering teams to translate data quality findings into platform improvements
- Working proactively with the Vessel Data Manager, taking ownership of issues independently
Starting with maritime companies, you will help expand coverage to other asset classes and related industries such as ports, terminals, refineries, and infrastructure. While technical data skills are important, this role emphasizes industry expertise and the ability to translate complex ownership structures into clear business rules and reliable data models.
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, 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
