Jason Ames

Data Operations Analyst @ Two Sigma

About Jason Ames

Jason Ames is a Data Operations Analyst at Two Sigma, where he has worked since 2018. He holds a Bachelor's Degree in Geology from Indiana University of Pennsylvania and has extensive experience in data management and operations across various roles in the energy sector.

Work at Two Sigma

Jason Ames has been employed at Two Sigma as a Data Operations Analyst since 2018. He operates within the Houston, Texas Area, contributing to the company's data management initiatives. His role involves gathering, manipulating, and organizing data from various sources, which highlights his expertise in data management. Jason is responsible for running and maintaining ETL procedures, ensuring efficient data processing and transformation. He also conducts periodic audits of critical data sets to ensure their accuracy and integrity.

Previous Experience in Data Operations

Before joining Two Sigma, Jason Ames worked as a Rig Operations Analyst at proNova by TDE from 2014 to 2018. In this role, he focused on data operations within the Houston, Texas Area. Prior to that, he served as a Surface Logging Specialist at Weatherford from 2011 to 2014 in the Odessa/Midland, Texas Area. These positions provided him with a solid foundation in data management and operations within the energy sector.

Education and Expertise

Jason Ames earned a Bachelor’s Degree in Geology/Earth Science from Indiana University of Pennsylvania, where he studied from 2006 to 2011. He further enhanced his skills by obtaining a Google IT Support Specialist Professional Certificate through Coursera. This combination of education and certification has equipped him with a comprehensive understanding of data management and information technology.

Skills in Data Management

Jason Ames possesses a range of skills related to data management. He is adept at gathering, manipulating, and organizing data from multiple sources. His expertise includes running and maintaining ETL procedures, which are essential for efficient data processing and transformation. Additionally, he conducts periodic audits of critical data sets, demonstrating a strong attention to detail and a commitment to data integrity.

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