kpler - Senior Refined Products Inventory Analyst
Requirements
• 5+ years of experience in inventory intelligence, terminal logistics, or oil market data analytics and operations. • 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. • 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. • Demonstrated capability in working with satellite, aerial, or thermal imagery to validate asset structures and extract operational intelligence. • We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you’ve found your ideal destination. Are you ready to embark on this exciting journey with us? • We make things happen • We act decisively and with purpose, going the extra mile. • We build together • We foster relationships and develop creative solutions to address market challenges. • We are here to help • We are accessible and supportive to colleagues and clients with a friendly approach. • Our People Pledge • 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.
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. • Lead responses to ad-hoc client requests with rapid, well-structured analysis: Partner with Sales and Customer Success teams to address client data needs and feed insights back into internal systems.
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