2 months ago

Refineries Analyst

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Own and maintain data integrity for refinery models within a robust data framework. Backtest and validate models using external data sources (EIA/JODI/IRR), optimize refinery circuit views, and collaborate with Product, Engineering, Data, and Sales to drive refineries product development. Proficient in Python and PostgreSQL to automate data flows and improve model accuracy.

Location: Houston

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Maintain data integrity, capacity, and offline event records for refinery models using the internal Linear Programming model for tuning.
•Prioritize validation and improvement of existing models; data quality and domain expertise are the key drivers.
•Lead backtesting and guidance of models using external data sources (EIA, JODI, IRR, ANP) to ensure outputs align with physical market realities.
•Apply understanding of distillation, reforming, FCC, and blending to optimize refinery circuit views and regional supply/demand dynamics.
•Source and leverage large datasets using Python and PostgreSQL to automate data flows and 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.

Key Requirements

•3–5 years of experience as a Refinery Economist, Refining Analyst, LP Modeler or related role.
•Deep understanding of physical refinery unit operations (Distillation, Reforming, FCC, Blending) and refinery economics (flows, pricing, regulations, arbitrage dynamics).
•Practical experience using industry-standard Linear Programming software (Aspen PIMS, AVEVA Unified/Spiral, or Haverly GRTMPS).
•Comfortable with Python and PostgreSQL.
•Proven experience sourcing and leveraging external data (EIA/JODI/IRR) to model refineries.

Experience:3-5 yearsOil & chemicalsRefineryLP modelingData modeling

Education:Bachelor's

Skills:PythonPostgreSQLLP ModelingData integrityModel validationBacktestingData sourcingData automation

Languages:English

Tech Stack:PythonPostgreSQLAspen PIMSAVEVAGRTMPS

Company Brief

Kpler

Provides real-time commodity, shipping and trade intelligence combining satellite, AIS, customs and market data to deliver analytics for energy, dry bulk, petrochemicals, metals and agricultural markets, enabling trading, risk management and market transparency.

Industry: Data Infrastructure

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Paris, France

Founded: 2014

Website LinkedIn

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Kpler

2 months ago

Refineries Analyst

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Houston

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Maintain data integrity, capacity, and offline event records for refinery models using the internal Linear Programming model for tuning.
•Prioritize validation and improvement of existing models; data quality and domain expertise are the key drivers.
•Lead backtesting and guidance of models using external data sources (EIA, JODI, IRR, ANP) to ensure outputs align with physical market realities.
•Apply understanding of distillation, reforming, FCC, and blending to optimize refinery circuit views and regional supply/demand dynamics.
•Source and leverage large datasets using Python and PostgreSQL to automate data flows and 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.

Key Requirements

•3–5 years of experience as a Refinery Economist, Refining Analyst, LP Modeler or related role.
•Deep understanding of physical refinery unit operations (Distillation, Reforming, FCC, Blending) and refinery economics (flows, pricing, regulations, arbitrage dynamics).
•Practical experience using industry-standard Linear Programming software (Aspen PIMS, AVEVA Unified/Spiral, or Haverly GRTMPS).
•Comfortable with Python and PostgreSQL.
•Proven experience sourcing and leveraging external data (EIA/JODI/IRR) to model refineries.

Experience:3-5 yearsOil & chemicalsRefineryLP modelingData modeling

Education:Bachelor's

Skills:PythonPostgreSQLLP ModelingData integrityModel validationBacktestingData sourcingData automation

Languages:English

Tech Stack:PythonPostgreSQLAspen PIMSAVEVAGRTMPS

Company Brief

Kpler

Industry: Data Infrastructure

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Paris, France

Founded: 2014

Website LinkedIn