Sports Data Analyst

Use statistical modeling, machine learning, and data visualization to help teams, leagues, and sports media organizations make data-driven decisions about player evaluation, game strategy, injury prevention, and fan engagement. Transform large datasets from game statistics and tracking systems into actionable insights.

What do Sports Data Analyst do?

Use statistical modeling, machine learning, and data visualization to help teams, leagues, and sports media organizations make data-driven decisions about player evaluation, game strategy, injury prevention, and fan engagement. Transform large datasets from game statistics and tracking systems into ...

What is the median salary for Sports Data Analyst?

The median annual salary for Sports Data Analyst is $85,000.

What is the job outlook for Sports Data Analyst?

Employment for Sports Data Analyst is projected to grow by 18.0% over the next decade.

What education do Sports Data Analyst need?

Sports Data Analyst typically require bachelor's or master's degree in statistics, data science, or mathematics.

What skills do Sports Data Analyst need?

Key skills for Sports Data Analyst include Python and R, SQL, Data visualization (Tableau/Power BI/matplotlib), Statistical modeling (regression/Bayesian/clustering), Sports tracking (Second Spectrum/Hawk-Eye/StatCast), Video analysis (Hudl/Synergy), Machine learning (scikit-learn/TensorFlow).

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Data Scientists
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Job Growth by 2035+34.6%
School After High SchoolAbout 4 years
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Data ScienceStatisticsComputer Science
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Job Growth by 2035+21%
School After High SchoolAbout 4 years
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  • Networking
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Lowest 10% earn under$75,090
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Pay: BLS Occupational Employment and Wage Statistics, May 2025. Growth, openings and entry education: BLS Employment Projections 2025-2035.

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