Data Analyst With Oil Gas Upstream information
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$43.3K - $52.5K
7% of jobs
$52.5K - $61.8K
13% of jobs
$62.4K is the 25th percentile. Wages below this are outliers.
$61.8K - $71.1K
18% of jobs
The median wage is $75.4K / yr.
$71.1K - $80.4K
16% of jobs
$80.4K - $89.6K
13% of jobs
$93.1K is the 75th percentile. Wages above this are outliers.
$89.6K - $98.9K
9% of jobs
$98.9K - $108.2K
5% of jobs
$108.2K - $117.5K
9% of jobs
$117.5K - $126.7K
3% of jobs
$126.7K - $136K
2% of jobs
How much do data analyst with oil gas upstream jobs pay per year?
As of Aug 14, 2026, the average yearly pay for data analyst with oil gas upstream in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.
As a Data Analyst in the oil and gas upstream sector, you'll frequently collaborate with geoscientists and engineers to interpret large volumes of exploration and production data. Your role often involves cleaning, integrating, and visualizing seismic, drilling, and reservoir datasets to support decision-making. Regular meetings and cross-functional projects are common, ensuring your analyses align with the technical goals of exploration teams. Effective communication and a keen understanding of upstream operations are essential for translating data insights into actionable recommendations.
A Data Analyst in the oil and gas upstream sector is responsible for collecting, processing, and analyzing data from exploration and production activities. They help interpret geological, geophysical, and production data to support decision-making and optimize field operations. Their work often involves using specialized software to identify trends, forecast production, and improve efficiency, ultimately helping companies maximize resource extraction while minimizing costs and risks.
To thrive as a Data Analyst in Oil & Gas Upstream, you need strong analytical skills, statistical knowledge, and a degree in geoscience, engineering, or a related field. Familiarity with industry-specific software such as Petrel, Spotfire, and SQL databases, as well as certifications in data analytics or petroleum engineering, are highly valuable. Excellent problem-solving abilities, attention to detail, and effective communication skills help translate complex data insights for multidisciplinary teams. These competencies are crucial for optimizing exploration and production decisions, improving operational efficiency, and supporting data-driven strategies in a highly technical and competitive industry.
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