Espn 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 espn data analyst jobs pay per year?
As of Sep 9, 2026, the average yearly pay for espn 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 ESPN Data Analyst is responsible for collecting, processing, and interpreting sports data to help drive decision-making and content creation across ESPN’s platforms. They analyze game statistics, player performance, and audience engagement metrics to provide insights for programming, digital content, and business strategy. Their work often involves using statistical software, creating data visualizations, and collaborating with various teams to ensure that ESPN stays ahead in delivering relevant and timely sports information.
To excel as an ESPN Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field, often supported by a relevant degree. Familiarity with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau is typically required. Excellent communication, attention to detail, and the ability to work collaboratively help translate complex data into actionable insights for various stakeholders. These skills ensure accurate interpretation of sports data, support data-driven decisions, and enhance ESPN's content and business strategies.
As an ESPN Data Analyst, you will frequently work alongside editorial, production, marketing, and technology teams to ensure data-driven decisions support both content creation and business strategies. Your insights help guide programming choices, audience engagement tactics, and advertising effectiveness. Regular cross-functional meetings and collaborative reporting projects are common, making strong communication skills and a team-oriented mindset essential for success in this role.
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