Not specified; not specified; competitive pyy, ret...
Hybrid
Advanced python skills for workflow construction
Sql proficiency for data extraction and validation
Experience with biorefinery margin models
S&P Global is seeking an Analyst for their Biofuels Research and Analytics division, focusing on enhancing biorefinery margin models and providing insights into the biofuels market. The role requires advanced Python and SQL skills, along with a strong team orientation, to support the company's mission of advancing essential intelligence in the energy sector
Job Summary
This role leads the maintenance and improvement of the biorefinery margins model while supporting global biomethane research.
The position requires building and maintaining Python workflows for data ingestion, cleaning, validation, and automation alongside SQL data management.
Candidates will collaborate with an international team at S&P Global Energy Horizons to provide fundamental insights on the emerging biofuels market.
Matching Summary
Match Score: 85
S&P Global is seeking an Analyst for their Biofuels Research and Analytics division, focusing on enhancing biorefinery margin models and providing insights into the biofuels market. The role requires advanced Python and SQL skills, along with a strong team orientation, to support the company's mission of advancing essential intelligence in the energy sector.
Salary
Not specified; Not specified; Competitive pay, retirement planning, and comprehensive benefits included
Skills & Requirements
Must-have
Advanced Python skills for workflow construction
SQL proficiency for data extraction and validation
Experience with biorefinery margin models
Ability to troubleshoot model and data issues
Strong English writing and presentation skills
Nice-to-have
Prior understanding of biofuels or refining markets
Experience with biomethane supply and demand analysis
Collaboration in a distributed global team environment
Background in energy transition and decarbonization
Mentoring and uplifting colleagues
Key Requirements
Bachelor's degree in Computer Science, Engineering, Economics, or relevant quantitative program
US Candidates Only requirement mentioned in Equal Opportunity section
Self-starter with ability to work to deadlines with limited supervision