Kpler
commodities, energy, and maritime sectors
CrudeOilAnalystLATAM
“Crude Oil Analyst - LATAM at Kpler. Skills: Crude oil market analysis, data validation, market reporting, SQL, Excel. own, validate, and scale the core crude oil dataset for the booming Latin American market. Monitor and validate crude oil data daily (flows, inventories, refinery activity)”
What You'll Achieve.
ensure Kpler has the most accurate crude oil tracking repository; turn complex datasets into fast, factual market updates ('Pulses'); power the decision-making of the world’s top commodity traders and oil majors; ensure accuracy and consistency of crude oil data; extract trends and actionable insights; provide insights for improvement; support product development
Industry & Context.
investigate and troubleshoot data issues; resolve or escalate as needed; identify anomalies, gaps, and inconsistencies in datasets
What They're Looking For.
Must Have
Experience in crude oil or petroleum market analysis, understanding of trade flows, supply/demand balances, freight, and refining basics, Understanding of Latin American crude markets, knowledge of regional asset dynamics, Proficiency in SQL, Proficiency in Excel, Experience working with large or complex datasets, Fluent in English, Fluent in Spanish, Fluent in Portuguese
Nice to Have
Python, Familiarity with geospatial / vessel tracking data, Experience engaging with clients or supporting commercial teams, Experience contributing to product or data improvement initiatives, Graduate degree
What You'll Do.
and scale the core crude oil dataset for the booming Latin American market
Monitor and validate crude oil data daily (flows
Analyse cargo movements
supply/demand dynamics
and freight trends across the Americas
and inconsistencies in datasets and resolve or escalate as needed
Support the production of quick market insights
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
Support client queries
and product demonstrations
Respond to internal and external data requests in a timely manner
provide insights for improvement
and support product development
How You'll Work.
Team & Collaboration
Collaborating closely with Data Ops, Product Engineering, and Commercial teams; Collaborate with Data, Product, Engineering, Sales, and Customer Success teams
Communication Scope
Fluent in English, Spanish, and/or Portuguese (written and spoken)
Process & Methodology
manage multiple priorities in a fast-paced environment
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