Solar Energy Data Analyst information
See salary details
$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 solar energy data analyst jobs pay per year?
As of Aug 20, 2026, the average yearly pay for solar energy data analyst 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.
A Solar Energy Data Analyst is responsible for collecting, processing, and interpreting data related to solar energy systems. Their work helps optimize the performance of solar installations by identifying trends, inefficiencies, and opportunities for improvement. Analysts often use specialized software to monitor energy production, system health, and environmental impacts. They also generate reports that inform engineers, managers, and stakeholders about system performance and recommendations for enhancement.
Solar Energy Data Analysts often work with data from various solar installations, each with different hardware, software, and reporting standards. Ensuring data accuracy can be challenging due to inconsistent data formats, missing or corrupted data points, and communication issues between monitoring systems. Analysts typically address these challenges by implementing rigorous data validation processes, automating data cleaning routines, and collaborating closely with on-site technicians to resolve discrepancies. Staying proactive and detail-oriented is key to maintaining reliable datasets that drive effective performance analysis and optimization.
To thrive as a Solar Energy Data Analyst, a solid background in data analysis, statistics, and renewable energy concepts—often supported by a degree in engineering, environmental science, or a related field—is essential. Proficiency with data analytics software (such as Python, R, or MATLAB), experience with solar energy monitoring systems, and relevant certifications like NABCEP can be highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills set exceptional analysts apart. These competencies enable accurate interpretation of solar performance data, inform critical decision-making, and drive improvements in energy efficiency and project outcomes.
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