Emission Technical Analyst – Refined Product and Petrochemicals

What’s In It For You

• Collaborate with a forward-thinking team of GHG emissions experts focused on enhancing emissions estimation across the Commodity Insights portfolio.

• Work on groundbreaking insights into commodity-related emissions, leveraging some of the world’s most extensive and detailed data sets that span sectors and value chains.

• Partner with specialists across multiple industries to build analytical tools that reveal where emissions occur, why they happen, and how they can be mitigated.

• Contribute to the global understanding of emissions tied to commodities and support the identification of effective decarbonization pathways.

• Be an integral part of a team focused on developing and scaling GHG emissions estimation and quantification capabilities across the Commodity Insights business.

• Provide strategic input and lead discussions on best practices in emissions accounting and quantification methodologies.

• Support the preparation of detailed reports and estimates, serve as a key resource for emission accounting expertise, and help shape future research initiatives.

• Conduct in-depth research spanning industrial processes, commodities, and products within the broader energy value chain.

• Engage with both internal and external stakeholders to share insights, collaborate on priority initiatives, and drive the development of project deliverables.

• Proven experience in GHG estimation and life-cycle carbon accounting is essential, including familiarity with various emission sources across commodity sectors.

• Deep expertise in emissions associated with refined oil products and petrochemical operations
  , including modeling refinery emissions and understanding process energy allocations.

• Broad knowledge of diverse energy supply chains and commodities, including upstream and midstream oil & gas, hydrogen, biofuels, and metals & mining.

• Strong skills in handling large datasets, with proficiency in Microsoft Excel, databases
  , and cloud-based analytical platforms.

• Familiarity with ASPEN process modeling software is advantageous.

• Experience with
  Python (ability to read/write code) is a plus.

• Demonstrated ability to work collaboratively within team settings and across a complex, matrixed organization, with strong cross-functional communication.

• Excellent written and verbal communication skills, including the ability to engage with senior-level stakeholders.

• Detail-oriented with excellent time management and organizational skills.

• A graduate degree in engineering, environmental science
  , or a related technical discipline is preferred.