Heather Johnson

Data Analyst @ Campspot

About Heather Johnson

Heather Johnson is a Data Analyst with a background in Geophysical Engineering, holding a Bachelor of Science from the Colorado School of Mines and a Professional Masters in Petroleum Reservoir Systems. She has experience working at Halliburton and currently serves as a Data Analyst at Campspot in Denver, Colorado.

Work at Campspot

Heather Johnson has been employed as a Data Analyst at Campspot since 2021. In this role, she utilizes her analytical skills to support data-driven decision-making within the organization. Her responsibilities include analyzing data trends, generating reports, and providing insights that contribute to the company's strategic initiatives. Johnson's work is essential in enhancing operational efficiency and improving customer experiences.

Previous Experience at Halliburton

Before joining Campspot, Heather Johnson worked at Halliburton in various capacities. She served as a Fiber Optic Data Analyst from 2019 to 2020, where she focused on analyzing fiber optic data to support energy sector projects. Prior to that, she was a Microseismic Data Analyst from 2015 to 2019, where she applied her expertise in geophysical data analysis to enhance project outcomes. Her tenure at Halliburton provided her with valuable experience in the energy industry.

Education and Expertise

Heather Johnson earned her Bachelor of Science in Geophysical Engineering from the Colorado School of Mines, completing her studies from 2009 to 2013. She further advanced her education by obtaining a Professional Masters of Petroleum Reservoir Systems from the same institution in 2014. Her academic background equips her with a strong foundation in data analysis and problem-solving, particularly in the context of geophysical and petroleum engineering.

Skills and Professional Attributes

Heather Johnson is recognized for her ability to foster positive business relationships through dependability and resourcefulness. She possesses expertise in creatively solving problems and troubleshooting data-related issues. Additionally, she effectively documents and communicates analytical results to both team members and clients, ensuring clarity and understanding in her findings.

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