Senior Crude Oil Market Analyst

Kpler•Houston, TX

About The Position

At Kpler, the Senior Crude Oil Market Analyst serves as the primary guardian of data integrity and market coverage for the company’s global crude oil intelligence, with a dedicated focus on the Americas. The role sits at the intersection of data engineering and market research, auditing cargo flows, inventories, and refinery activity to identify errors and anticipate anomalies before they reach clients. It transforms physical trade-flow data into clear, objective market commentary on supply, demand, and arbitrage dynamics.

Requirements

  • At least 5 years of experience in crude oil or petroleum market analysis, with deep knowledge of North American crude flows, refining basics, and market structure.
  • Bachelor’s degree in Economics, Finance, Engineering, Energy, or a related quantitative field.
  • Strong technical capability querying and manipulating large datasets using SQL and/or Python.
  • Outstanding written communication skills and ability to summarize complex commodity movements in concise, factual market updates.
  • High degree of autonomy, a critical mindset toward data accuracy, and end-to-end ownership of assigned market coverage.

Nice To Haves

  • Prior experience at an oil trading firm, energy market data intelligence provider, or financial institution.
  • Broad understanding of related energy markets, including refined products, LPG, and freight.
  • Hands-on familiarity with geospatial or vessel-tracking data, pipeline networks, and refinery infrastructure.
  • Curiosity about or hands-on experience using AI tools such as Claude Code, Codex, or Cursor to automate daily workflows.

Responsibilities

  • Monitor, validate, and audit crude oil flows, inventories, and refinery data across North America to ensure accuracy and consistency.
  • Analyze cargo movements, supply and demand trends, and freight dynamics across the Americas to derive insights from complex datasets.
  • Investigate data gaps, inconsistencies, and system errors; perform root-cause analysis and work with engineering to implement lasting fixes.
  • Write clear, data-driven market commentary and ad-hoc updates of two to three paragraphs, highlighting proprietary data without speculative forecasting.
  • Improve data quality and analytical workflows, including use of AI developer tools to increase operational efficiency.
  • Collaborate with Data Engineering, Product, Sales, and Customer Success to address technical queries, support client engagement, and demonstrate data value.
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