Refined Products Inventory Analyst

As a Refined Products Inventory Analyst, you will play a central role in powering Kpler's storage intelligence and driving the expansion of our brand-new inventory product from regional hubs to global coverage. Operating at the intersection of data operations, satellite imagery validation, and oil market analysis, you will ensure the precision, completeness, and strategic value of our global refined products dataset. By mapping terminal infrastructure and translating complex data into actionable market intelligence, you will directly empower commodity traders and market participants to navigate evolving energy dynamics with confidence.

Key Responsibilities

• Map and classify terminal infrastructure: Identify, map, and classify refined product storage assets, blending units, and interconnection networks by product category and operational function.
• Validate satellite imagery and aerial data: Utilize satellite and thermal imagery to verify storage tank structures, estimate fill capacities, and detect operational shifts or anomalies across key energy hubs.
• Optimize data workflows: Design and streamline scalable procedures for terminal onboarding, quality assurance, and automated processing in collaboration with engineering and data operations teams.
• Integrate market and refinery context: Apply operational knowledge of refinery storage, blending processes, and transport dynamics (pipeline, barge, truck, ship) to maintain high data integrity during market disruptions or maintenance events.
• Support regional and global expansion: Lead the data rollout from current European and North American hubs to global coverage, establishing robust methodologies for new geographical regions.
• Collaborate cross-functionally and support commercial teams: Partner with internal research, commercial, and product teams to share methodology, gather client feedback, and support sales enablement.

Experience & Background

What you'll need (Must-haves):

• 5+ years of experience in inventory intelligence, terminal logistics, or oil market data analytics and operations.
• Demonstrated capability in working with satellite, aerial, or thermal imagery to validate asset structures and extract operational intelligence.
• Strong technical comfort with data handling tools such as Excel, SQL, or Python to process and audit complex datasets.
• Proven ability to think autonomously, build operational workflows from scratch, and resolve granular data issues in a remote work environment.

Nice-to-haves:

• In-depth understanding of refined products storage infrastructure (gasoline, diesel, jet fuel, fuel oil), including tank functions, blending operations, and dispatch practices.
• Experience collaborating cross-functionally across product, engineering, and commercial teams within a commodity or market data environment.