Refineries Analyst

Kpler; Houston (TX); On-site; USD 95,000 - 160,000; Full time

Job summary

Kpler's Oil & Chemicals team seeks a Refineries Analyst to own data integrity for bottom-up refinery models, integrating live crude flows, production, pipelines, and inventories into a cohesive framework supported by an internal LP model.

You will bridge physical markets with technical architecture, collaborating across Product, Engineering, and Sales to backtest models using EIA, JODI, IRR, and ANP data to ensure outputs reflect real-world refinery behavior.

Qualifications

• 3–5 years in refinery economics/analyst roles.
• Strong understanding of refinery unit operations and economics.
• Experience with LP modeling software is essential.
• Proficient with Python and PostgreSQL.
• Experience sourcing external data (EIA/JODI/IRR).
• Data-driven modeling, validation and data integrity expertise.

Responsibilities

• Maintain data integrity, capacity, and offline event records for refinery models using the LP model for tuning.
• Backtest and guide models using external data sources (EIA, JODI, IRR, ANP).
• Apply deep understanding of distillation, reforming, FCC, and blending to optimize refinery views.
• Source and leverage large datasets with Python and PostgreSQL to automate data flows.
• Collaborate with Data, Product, Engineering, and Sales teams to provide insights for refinery products.
• Respond to internal and external data requests and client queries in a timely manner.
• Lead refinement of modeling datasets and validate outputs against physical market realities.

Skills

Python

PostgreSQL

data modeling

data integrity

LP modeling

data quality

Education

Bachelor’s degree in a technical field

Tools

Aspen PIMS

AVEVA Unified/Spiral

Haverly GRTMPS

Job description

Your future position

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.

Experience & Background

Essential:

• 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 to be functional in this role.
• 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 (e.g., 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.

Equal Opportunity Employer

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.

Don’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.