Emission Technical Analyst

Job Description

Work with a dynamic team of GHG estimation experts to advance GHG emissions estimation across Commodity Insights businesses and products Work, learn, and contribute to entirely new understandings of commodity related emissions on top of some of the world s largest and most comprehensive data sets that span across sectors and through value chains. Collaborate with various sectoral experts to develop tools to better understand where, why, and how emissions occur and what can be done about them. Help advance global understanding of commodity related emissions and decarbonization pathways. Responsibilities: Work as part of team of emission technical experts who are charged with supporting the build-out of emission estimation and quantification capabilities across Commodity Insights businesses Provide thought leadership and engage in conversations around best practices on emission estimation and quantification. Contribute to written reports, detail estimates, act as a focal point on emission accounting practices, and provide direction on future research areas. Research topics will encompass broad aspects of processes, industry, commodities, and products across the energy value chain. Develop relationships with internal and external stakeholders to communicate findings, collaborate on key initiatives, and facilitate the development of project/initiative deliverables. What We re Looking For: GHG estimation and life-cycle carbon accounting knowledge/work experience is required. Demonstrated understanding of life-cycle GHG accounting practices as well as understanding of potential GHG emission sources from various commodity sectors. Deep knowledge and understanding of GHG emissions associated with petrochemical and refined oil products. GHG emissions modeling experience of refineries and petrochemical complexes including understanding of energy allocations between different process units and interactions between process units. Broad understanding of different energy supply chains and commodities such as upstream and midstream oil and gas, hydrogen, biofuels, metals and mining etc. Proficient with large datasets with strong skills in Microsoft Excel, databases and various cloud-based platforms. Experience with ASPEN process modeling software considered a plus Experience with Python coding - ability to read and write code considered a plus Demonstrated ability to work effectively in a team-oriented environment and navigate and excel in a complex, matrix organization. This person should be able to collaborate well with people externally and internally. Highly effective verbal and written communication skills and excellent interpersonal skills to communicate with key people including senior and executive level clients. Strong attention to detail and efficient time management skills. Graduate degree in engineering, science, environmental science, or industry-related fields preferred.