John Rogers

John Rogers

Data Analyst @ ExxonMobil

About John Rogers

John Rogers is a Data Analyst at ExxonMobil with expertise in data visualization and Oracle database management.

Professional Experience at ExxonMobil

John Rogers has been working at ExxonMobil since 2013. He holds the position of Seismic Data Manager, Network Lead for regions including Africa and Asia Pacific in Leatherhead. Additionally, he has served as a Data Analyst since 2019. His roles involve managing extensive datasets and ensuring accurate seismic data interpretation and network management across these regions.

Previous Roles at Venture Information Management

John Rogers has two different stints at Venture Information Management as a Consultant. His first tenure was from 2006 to 2011, lasting five years. He later returned to the same role from 2013 to 2014. During his time at Venture Information Management, he developed and implemented data management strategies to optimize the company's information systems in Egham.

Work at Hess Corporation

Between 2011 and 2013, John Rogers worked with Hess Corporation as a Data Analyst in the Departmental Data Management. In this role, he was responsible for managing departmental data, ensuring data integrity, and improving data processing methods. This role was based in Egham.

Educational Background and Expertise

John Rogers obtained a Bachelor of Science degree in Meteorology and Oceanography from the University of East Anglia, where he studied Environmental Science from 2003 to 2006. His academic background provides a strong foundation for his expertise in data analysis, with particular proficiency in advanced data visualization techniques using PowerBI and data management with Oracle.

Skills in Data Analysis and Visualization

John Rogers has honed his skills in data analysis across various roles. He is proficient in utilizing advanced data visualization techniques with PowerBI, allowing for more straightforward interpretation of complex data. His expertise also extends to using Oracle to manage and analyze large datasets effectively. His strong problem-solving abilities are evident in his approach to handling data-related challenges.

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