Refineries Analyst
DubaiAll locationsDubaiHoustonAthensLondon Hybrid
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About the role
Kpler’s Oil & Chemicals business unit is rapidly advancing its real-time analytics and is looking for a technically sharp, data-literate Refineries Analyst to join its growing global team. In this role, you will take absolute ownership of the data integrity, maintenance, and quality control of our bottom-up refinery models. You will synthesize Kpler’s industry-leading proprietary data-including live crude flows, production, pipeline volumes, and inventory levels-into a cohesive modeling framework, utilizing our internal Linear Programming (LP) model as a core tool for tuning and optimization. By connecting upstream inputs and offline events with real-world refinery capacities and yields, you will ensure our models seamlessly integrate into Kpler’s broader Supply & Demand balances. Because you are joining us during an ambitious product expansion, you will play a foundational role in the evolution of our platform. This is a truly hybrid-minded position where you will serve as the subject matter expert bridging the gap between physical market reality and technical architecture-partnering closely with our Product Engineering team to build, refine, and validate our most sophisticated fundamental datasets.
What you'll bring
- Proven experience sourcing and leveraging external data (EIA/JODI/IRR) to model refineries.
- Strong background in data-driven modeling, validation, and managing input data integrity (e.g., capacity and offline events).
- Bachelor’s degree in a technical or quantitative field, with proven experience applying modeling techniques in commercial or research environments
- We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on.
- If you thrive on customer satisfaction and turning ideas into reality, then you’ve found your ideal destination.
- Are you ready to embark on this exciting journey with us?
- Experience with refinery optimization, especially with a focus on circuit-wide views.
- Experience with data visualization.
- Past experience contributing to SaaS product or data improvement initiatives.
- Experience in leveraging AI tools (Claude, Cursor, etc) for data analysis & management, and general workflow optimization
- Ownership of day-to-day work and strong attention to detail.
- Self-starter, thrives in an ambitious, early-stage product environment without requiring direct supervision.