Jim Nielsen
About Jim Nielsen
Jim Nielsen is the Global Trading & Market Analysis Manager at ExxonMobil, recognized for transforming market analysis methodologies and enhancing forecasting capabilities.
Current Position at ExxonMobil
Jim Nielsen currently holds the title of Global Trading & Market Analysis Manager at ExxonMobil. He has been with the company in Houston, Texas, from 1997 to 1970, for a substantial tenure of over 27 years. In his role, Jim leads global crude oil, feedstocks, and product trading analysis to deliver actionable insights and measure commercial performance. He has significantly enhanced the forecasting capabilities for trading performance and corporate decision-making within the organization.
Previous Employment at Safety-Kleen
Before joining ExxonMobil, Jim Nielsen worked at Safety-Kleen as a Project Manager from 1995 to 1997, for 2 years, in Elgin, IL. During his tenure, he was involved in overseeing various projects and operational initiatives, providing a foundation of experience in logistics and project management.
Early Career at Unocal
Jim Nielsen began his professional journey at Unocal, where he served as a Refinery Engineer from 1988 to 1995, for 7 years, in Lemont, IL. This role allowed him to gain in-depth technical knowledge and practical experience in refinery operations, laying the groundwork for his future career in the energy sector.
Educational Background
Jim Nielsen studied Mechanical Engineering at Northwestern University, where he achieved a Bachelor of Science in Mechanical Engineering (BSME). His academic tenure spanned from 1984 to 1988, for a duration of 4 years. This educational foundation equipped him with the technical expertise essential for his subsequent roles in engineering and market analysis.
Innovations in Market Analysis at ExxonMobil
Jim Nielsen has been credited with leading the transformation of the market analysis organization at ExxonMobil. He pioneered the shift from spreadsheet-based analysis to using centralized cloud data repositories accessed through Python, Sequel, and Snowflake, with visualizations done via Plotly. This initiative has revolutionized analytical methodologies, allowing for improved trading performance and strategic corporate decision-making.