Fuel Oils / Bunker Analyst Intern
TLDR
Work within the Liquids Data Operations team on a data analytics internship that enhances the bunker tracking model using Python and SQL, optimizing data quality and platform scalability.
Essential:
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Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, Statistics, or a related quantitative field.
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Practical experience with Python for data processing (coursework, personal projects, or prior internship acceptable).
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Comfort working with SQL (queries, joins, basic schema concepts) and tabular data (CSV/Excel-style analysis).
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Ability to work independently on defined tasks while asking targeted questions when domain or data ambiguity arises.
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Exposure to pandas, SQLAlchemy, or similar data stack used in ETL pipelines.
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Familiarity with Git, pull requests, and collaborative code review.
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Interest in or prior exposure to shipping, energy commodities, maritime AIS, or geospatial data.
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Experience with CLI tools, environment variables, and cloud/database connectivity (PostgreSQL preferred).
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Basic understanding of automated workflows (e.g. GitHub Actions) or Google Sheets/API integrations.
Desirable:
Kpler builds a platform that simplifies global trade information, providing insights specifically for the commodities, energy, and maritime sectors. Our service empowers organizations to make informed decisions by navigating the complexities of these markets.
- Founded
- Founded 2014
- Employees
- 51-200 employees
- Industry
- Professional Services