Refinery Analytics & LP Modeling Specialist

Your future position We are looking for a technically sharp, data-literate Refineries Analyst to join our growing global team in the Oil & Chemicals business unit. 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 automate data flows to improve model accuracy. Collaborate with Data, Product, Engineering, and Sales teams to provide insights for refinery product development. Respond to internal and external data requests and client queries in a timely manner. Essential Experience & Background At least 3–5 years of experience as a Refinery Economist, Refining Analyst, LP Modeler or related roles. A deep understanding of physical refinery unit operations (Distillation, Reforming, FCC, Blending, etc.) and refinery economics (flows, pricing, regulations, and arbitrage dynamics). Practical experience using industry-standard Linear Programming software (Aspen PIMS, AVEVA Unified/Spiral, or Haverly GRTMPS) is essential. Comfortable with Python and PostgreSQL. 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 (capacity and offline events). Desirable 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. Behavioural Competencies 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. Eagerness to invest significant time in individual refinery tuning and bottom-up modeling. Driven to find data to backtest and guide models. Client-facing confidence. Qualifications Bachelor’s degree in a technical or quantitative field, with proven experience applying modeling techniques in commercial or research environments. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr Kpler