FactSet has a dynamic presence in the energy market, empowering clients with data-driven insights that shape pivotal investment and operational decisions. Our Deep Sector Oil & Gas data team specializes in delivering comprehensive datasets covering wells, pipelines, refineries, LNG terminals, and other critical components of the global energy value chain. By delivering timely and accurate data for a wide range of publicly-trade and private entities, our team equips industry leaders with the information needed to optimize strategies and seize opportunities in the market. Our expertly curated data and powerful analytics serves as a reliable foundation for our clients, ensuring informed and impactful decision-making in the ever-evolving energy landscape. As a Senior Oil and Gas Data Specialist, you will be responsible for two or more Deep Sector Oil & Gas data products, contributing to the expansion of FactSet's global coverage of oil and gas assets (e.g. facilities, pipelines, tankers, wells, permits, and acreage positions). Your responsibilities will include collecting and integrating data from a variety of sources (e.g. financial and regulatory filings, government statistics, third-party APIs, etc.), with a specific focus on tracking asset-level operations (e.g. production, throughput, emissions, etc.) as well as changes in ownership over time. Additional duties may be adjusted based on user feedback and business requirements. This position requires data management experience with a solid foundation in data modeling, programmatic data acquisition and processing, and designing robust data pipelines. Data specialists are also expected to stay up to date with sector developments, providing knowledgeable support to product end users by keeping up with industry news, market dynamics, and key industry players and regulatory bodies. Minimum Qualifications: Bachelor’s Degree in Computer Science, Engineering, Economics, Finance, Mathematics, or related field. 3-5 years of demonstrated experience working with large databases, building data pipelines, and automating workflows. Advanced proficiency with Python and SQL (certifications preferred). Must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future. Desired Skills: A results-oriented and client-centric approach. Ability to multitask and collaborate effectively with teams. Experience in quantitative/statistical modeling or machine learning. GIS knowledge is a plus.
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