Equestrian 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 equestrian data analyst jobs pay per year?
As of Sep 10, 2026, the average yearly pay for equestrian 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.
An Equestrian Data Analyst is a professional who specializes in collecting, processing, and analyzing data related to horses, equestrian sports, and related activities. They use statistical tools and software to interpret data from competitions, training sessions, breeding records, and horse health monitoring. Their insights help trainers, riders, breeders, and organizations make informed decisions to optimize performance, improve animal welfare, and enhance business operations within the equestrian industry.
Equestrian Data Analysts work closely with trainers and riders by collecting and interpreting data from training sessions, competitions, and horse biometrics. They provide actionable insights on factors like horse movement, rider technique, and equipment efficacy. Regular meetings with the team help integrate data-driven strategies into training regimens, ensuring that analytical recommendations are practical and tailored to specific horses and riders. This collaborative approach helps maximize performance and minimize injury risks.
To thrive as an Equestrian Data Analyst, you need strong analytical skills, a background in statistics or data science, and knowledge of equestrian sports or veterinary science, often supported by a relevant degree. Familiarity with data analysis tools such as R, Python, and database management systems, as well as experience with performance tracking software, is typically required. Strong communication, attention to detail, and the ability to collaborate with trainers and veterinarians are valuable soft skills. These abilities are important for extracting actionable insights that enhance equine performance, inform training decisions, and optimize outcomes in competitive equestrian environments.
What are popular job titles related to Equestrian Data Analyst jobs?
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