Monitor and validate crude oil data daily (flows, inventories, refinery activity) to ensure accuracy and consistency
Analyse cargo movements, supply/demand dynamics, and freight trends across the Americas
Identify anomalies, gaps, and inconsistencies in datasets and resolve or escalate as needed
Support the production of quick market insights, commentary, and ad hoc analysis
Work with large, complex datasets to extract trends and actionable insights
Maintain and enhance datasets related to crude oil markets
Contribute to data quality improvements and workflow enhancements
Collaborate with Data, Product, Engineering, Sales, and Customer Success teams
Support client queries, presentations, and product demonstrations where needed
Respond to internal and external data requests in a timely manner
Manage KPIs and OKRs, provide insights for improvement, and support product development.
Requirements
Experience in crude oil or petroleum market analysis, with a strong understanding of trade flows, supply/demand balances, freight, and refining basics.
Understanding of Latin American crude markets, with knowledge of regional asset dynamics
Proficiency in SQL and Excel
Experience working with large or complex datasets
Fluent in English, Spanish, and/or Portuguese (written and spoken)
Python
highly regarded
Familiarity with geospatial / vessel tracking data
Experience engaging with clients or supporting commercial teams
Experience contributing to product or data improvement initiatives
Strong data validation and validation skill with ability to investigate and troubleshoot data issues
Ability to seamlessly connect granular data points with broad global market context and vice versa
Ownership of day-to-day work and accountability for output
Ability to manage multiple priorities in a fast-paced environment
Collaborative and team-oriented
Proactive in identifying issues and suggesting improvements
Bachelor’s degree in Economics, Finance, Engineering, Energy, or related field. Graduate degree is a plus but not required.
Tech Stack
Python
SQL
Benefits
Kpler is committed to providing a fair, inclusive and diverse work-environment.