Job Description
Roles & Responsibilities
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:
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Maintain data integrity, capacity, and offline event records for individual refinery models and regional balances, utilizing the internal Linear Programming model for tuning.
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Prioritize the validation and improvement of existing models; data quality and domain expertise are the critical drivers for this role.
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Lead the effort to backtest and guide models using external data sources (EIA, JODI, IRR, ANP) to ensure outputs align with physical market realities.
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Apply a deep understanding of distillation, reforming, FCC, and blending to optimize refinery circuit views and regional supply/demand dynamics.
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Source and leverage large datasets using Python, PostgreSQL and to automate data flows and improve model accuracy.
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Collaborate with Data, Product, Engineering, and Sales teams to provide insights for refineries product development.
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Respond to internal and external data requests and client queries in a timely manner.
Desired Candidate Profile
Essential:
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At least 3 5 years of experience as a Refinery Economist, Refining Analyst, LP Modeler or related roles.
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A deep understanding of physical refinery unit operations (Distillation, Reforming, FCC, Blending, etc.) and refinery economics (flows, pricing, regulations, and arbitrage dynamics).
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Practical experience using industry-standard Linear Programming software (Aspen PIMS, AVEVA Unified/Spiral, or Haverly GRTMPS) is essential to be functional in this role.
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Comfortable with Python and PostgreSQL
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Proven experience sourcing and leveraging external data (EIA/JODI/IRR) to model refineries.
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Strong background in data-driven modeling, validation, and managing input data integrity (e.g., capacity and offline events).
Desirable:
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Experience with refinery optimization, especially with a focus on circuit-wide views.
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Experience with data visualization.
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Past experience contributing to SaaS product or data improvement initiatives.
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Experience in leveraging AI tools (Claude, Cursor, etc) for data analysis & management, and general workflow optimization
Behavioural Competencies:
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Ownership of day-to-day work and strong attention to detail.
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Self-starter, thrives in an ambitious, early-stage product environment without requiring direct supervision.
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Eagerness to invest significant time in individual refinery tuning and bottom-up modeling.
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Driven to find data to backtest and guide models.
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Client-facing confidence.
Qualifications