Refineries Analyst

Kpler

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.

Your mission is to:

• Maintain data integrity, capacity, and offline event records for individual refinery models and regional balances, utilizing the internal Linear Programming model for tuning.

• Prioritize the validation and improvement of existing models; data quality and domain expertise are the critical drivers for this role.

• Lead the effort to backtest and guide models using external data sources (EIA, JODI, IRR, ANP) to ensure outputs align with physical market realities.

• Apply a deep understanding of distillation, reforming, FCC, and blending to optimize refinery circuit views and regional supply/demand dynamics.

• Source and leverage large datasets using Python, PostgreSQL and to automate data flows and improve model accuracy.

• Collaborate with Data, Product, Engineering, and Sales teams to provide insights for refineries product development.

• Respond to internal and external data requests and client queries in a timely manner.