Kpler
commodities, energy, and maritime sectors
RefineriesAnalyst
Neural analysis suggests this role is
optimal for Mid candidates.
“Refineries Analyst at Kpler. Skills: Refinery modeling, Linear Programming, Data analysis, Python. Maintain data integrity, capacity, and offline event records. Utilize Linear Programming model for tuning”
What You'll Achieve.
Ensure clients stay ahead in a dynamic market landscape; Deliver impactful results; Ensure models seamlessly integrate into Kpler’s broader Supply & Demand balances; Ensure outputs align with physical market realities
Industry & Context.
Navigate complex markets; Simplify global trade information; Provide valuable insights; Empower organisations to make informed decisions; Transform intricate data into actionable strategies; Tune and optimization; Ensure models seamlessly integrate; Bridge the gap between physical market reality and technical architecture; Build, refine, and validate datasets; Optimize refinery circuit views; Optimize regional supply/demand dynamics; Improve model accuracy; Provide insights for product development; Address market challenges
What They're Looking For.
Must Have
3–5 years of experience as a Refinery Economist, Refining Analyst, LP Modeler or related roles, Deep understanding of physical refinery unit operations (Distillation, Reforming, FCC, Blending, etc.), Deep understanding of refinery economics (flows, pricing, regulations, and arbitrage dynamics), Practical experience using industry-standard Linear Programming software (Aspen PIMS, AVEVA Unified/Spiral, or Haverly GRTMPS), Comfortable with Python, Comfortable with PostgreSQL, Proven experience sourcing and leveraging external data (EIA, JODI, IRR) to model refineries, Background in data-driven modeling, validation, and managing input data integrity (e.g., capacity and offline events), Bachelor’s degree in a technical or quantitative field, Proven experience applying modeling techniques in commercial or research environments
Nice to Have
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
What You'll Do.
Maintain data integrity
and offline event records
Utilize Linear Programming model for tuning
Prioritize validation and improvement of data quality
Lead effort to backtest and guide models
Apply understanding of distillation
Optimize refinery circuit views
Optimize regional supply/demand dynamics
Source and leverage large datasets
Improve model accuracy
Collaborate with teams
Provide insights for product development
Respond to data requests
Respond to client queries
How You'll Work.
Team & Collaboration
Collaborate with Data, Product, Engineering, and Sales teams; Partnering closely with our Product Engineering team
Communication Scope
Client-facing confidence
Full Job Description
## Description At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors. Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success. ## 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, an
Applying for this Refineries Analyst role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Lever
- Lever uses a streamlined one-page form — apply in under 5 minutes.
- LinkedIn import works well; review parsed data before submitting.
- The cover letter field is optional but visible to reviewers — use it to differentiate.
- Referral codes from employees can significantly boost visibility of your application.
ANONYMOUS · UNFILTERED
What do employees actually say about Kpler?
Real rants from real employees. Read before you apply.