Kpler — a global commodities, energy, and maritime intelligence platform with 700+ experts across 35+ countries, founded in 2014 — is seeking a technically sharp, data-literate Refineries Analyst for its Oil & Chemicals business unit in Dubai. This foundational role owns the data integrity, maintenance, and quality control of Kpler’s bottom-up refinery models, synthesising proprietary crude flows, production volumes, pipeline data, and inventory levels into a cohesive Linear Programming modelling framework — bridging physical market reality with technical architecture.
About Kpler — Simplifying Global Trade Intelligence
Company Scale: 700+ experts from 35+ countries — delivering commodities, energy, and maritime intelligence since 2014
Mission: Simplify global trade information and provide actionable insights for energy, commodities, and maritime sectors
Role Scope: Oil & Chemicals Business Unit — real-time analytics, refinery LP modeling, and Supply & Demand balance development
Culture: Dynamic, globally inclusive team — diverse perspectives, impactful work, and a People Pledge encouraging all candidates to apply
Why This Refineries Analyst Role Stands Out
LP Modeling Ownership: Own data integrity and quality control of bottom-up refinery models using industry-standard Linear Programming tools
Foundational Product Role: Play a foundational role in the evolution of Kpler’s platform during a period of ambitious product expansion
Hybrid Engineering-Analytics Position: Bridge physical refinery market reality with technical architecture — partnering with Product Engineering directly
Global External Data Integration: Backtest and guide models using EIA, JODI, IRR, and ANP external data sources for market-aligned outputs
Position Overview
This Refineries Analyst at Kpler maintains data integrity, capacity, and offline event records for individual refinery models and regional balances using the internal Linear Programming model for tuning, prioritises validation and improvement of existing models, leads backtesting and guiding of models using external data sources including EIA, JODI, IRR, and ANP, applies deep understanding of distillation, reforming, FCC, and blending to optimise refinery circuit views and regional supply/demand dynamics, sources and leverages large datasets using Python and PostgreSQL to automate data flows, collaborates with Data, Product, Engineering, and Sales teams, and responds to internal and external data requests and client queries.
Why This Role Matters: As Refineries Analyst at Kpler in Dubai, you are the subject matter expert whose engineering and modelling expertise directly determines the accuracy and value of refinery intelligence consumed by energy companies, governments, and trading organisations worldwide — owning bottom-up LP refinery models, validating outputs against EIA, JODI, and physical market realities, and partnering with Product Engineering to build Kpler’s most sophisticated fundamental datasets during an exciting period of global platform expansion.
Key Responsibilities
LP Model Maintenance, Tuning & Data Integrity
- Maintain data integrity, capacity, and offline event records for individual refinery models and regional balances using the internal LP model for tuning
- Prioritise validation and improvement of existing models — data quality and domain expertise are the critical drivers for this role
- Apply deep understanding of distillation, reforming, FCC, and blending to optimise refinery circuit views and regional supply/demand dynamics
External Data Integration & Backtesting
- Lead backtesting and model guidance using external data sources — EIA, JODI, IRR, and ANP — to ensure outputs align with physical market realities
- Source and leverage large datasets using Python and PostgreSQL to automate data flows and improve model accuracy
- Connect upstream inputs and offline events with real-world refinery capacities and yields for Kpler’s Supply & Demand balances
Cross-Functional Collaboration & Client Support
- 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, client-facing manner
- Partner closely with the Product Engineering team to build, refine, and validate Kpler’s most sophisticated fundamental datasets
Essential Experience & Qualifications
Essential 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 including flows, pricing, regulations, and arbitrage
- Practical experience with industry-standard LP software — Aspen PIMS, AVEVA Unified/Spiral, or Haverly GRTMPS — essential for this role
- Proficiency in Python and PostgreSQL for data sourcing and automation
- Proven experience sourcing and leveraging external data (EIA/JODI/IRR) to model refineries
- Strong background in data-driven modelling, validation, and input data integrity management
Desirable Qualifications
- Experience with refinery optimisation — especially circuit-wide views
- Experience with data visualisation tools
- Past experience contributing to SaaS product or data improvement initiatives
- Experience leveraging AI tools (Claude, Cursor, etc.) for data analysis and workflow optimisation
- Bachelor’s Degree in a technical or quantitative field with proven modelling experience
About Kpler — Where Data Becomes Intelligence
Kpler was founded in 2014 with a clear mission: simplify global trade information and provide organisations with the intelligence to make informed decisions in commodities, energy, and maritime markets. Today, with 700+ experts across 35+ countries, Kpler transforms intricate global trade data into actionable strategies — serving energy companies, trading firms, governments, and financial institutions with real-time analytics across crude oil, refined products, LNG, and maritime shipping. As Refineries Analyst in Dubai, you join Kpler’s Oil & Chemicals team at a pivotal moment in the platform’s global expansion — owning the modelling foundation that underpins Kpler’s most sophisticated energy intelligence products.
Career Excellence: Own bottom-up LP refinery modelling at Kpler — bridging physical market reality and data intelligence for energy markets worldwide from Dubai.
Who Should Apply?
- Refinery Economists & LP Modelers: With 3–5+ years of Aspen PIMS, AVEVA, or Haverly GRTMPS LP modeling experience
- Refining Analysts with EIA/JODI Experience: Who have sourced and applied external data sources to validate and improve refinery models
- FCC, Distillation & Blending Specialists: With deep physical refinery unit operations expertise and economics understanding
- Python & PostgreSQL Data Engineers: Comfortable automating data flows and managing large-scale refinery datasets
- Energy & Commodities Intelligence Professionals: Excited about building data-grade insights for global energy trading and analytics platforms
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