Wildlife Data Analyst 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 wildlife data analyst jobs pay per year?
As of Aug 15, 2026, the average yearly pay for wildlife 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.
To become a wildlife data analyst, individuals typically need a bachelor's degree in ecology, biology, environmental science, or a related field. Skills in data analysis, statistical software, and GIS tools are essential, and gaining experience through internships or research projects can improve job prospects.
Wildlife Data Analysts often work closely with field researchers to collect, validate, and interpret ecological data. They translate complex datasets into actionable insights that help conservation teams make informed decisions about wildlife management and habitat protection. Regular communication is essential, as analysts must understand field conditions and research goals while ensuring the data is accurately represented. This collaborative environment fosters a team-oriented approach where analytical findings directly support conservation strategies.
A Wildlife Data Analyst is a professional who collects, processes, and interprets data related to wildlife populations, habitats, and ecosystems. They use statistical methods and software to analyze data from field surveys, remote sensing, and tracking technologies. The insights they provide help inform conservation strategies, wildlife management decisions, and policy development. Wildlife Data Analysts often collaborate with biologists, ecologists, and government agencies to ensure data-driven approaches to protecting wildlife.
To thrive as a Wildlife Data Analyst, you need strong skills in statistical analysis, ecological research, and a relevant degree in biology, ecology, or environmental science. Proficiency in data analysis tools such as R, Python, GIS software, and database management systems is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills for interpreting findings and collaborating with scientists or conservationists. These skills are important because they enable accurate data-driven insights that support wildlife conservation and management initiatives.
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