Key skills
PythonSQLcargoOKRsCustomer SuccessSales
About this role
Role Overview
- 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.