Freelance Nhl Data Analytics information
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$153K - $157.5K
8% of jobs
$157.5K - $161.9K
9% of jobs
$165.5K is the 25th percentile. Wages below this are outliers.
$161.9K - $166.4K
9% of jobs
$166.4K - $170.8K
9% of jobs
$170.8K - $175.3K
9% of jobs
The median wage is $177.8K / yr.
$175.3K - $179.7K
8% of jobs
$179.7K - $184.2K
9% of jobs
$184.2K - $188.6K
9% of jobs
$190K is the 75th percentile. Wages above this are outliers.
$188.6K - $193.1K
9% of jobs
$193.1K - $197.5K
9% of jobs
$197.5K - $202K
9% of jobs
How much do freelance nhl data analytics jobs pay per year?
As of Aug 19, 2026, the average yearly pay for freelance nhl data analytics in the United States is $178,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,500.00 and $191,500.00 per year, depending on experience, location, and employer.
Freelance NHL data analytics involves independently analyzing data related to the National Hockey League (NHL) to provide insights on team performance, player statistics, and game outcomes. Freelancers in this field use statistical methods, programming, and visualization tools to interpret large datasets and help teams, media outlets, or betting companies make informed decisions. They may work on a project basis for different clients, offering flexibility and a wide range of analytical services. A strong background in data science, sports analytics, and hockey knowledge is usually required for this role.
To thrive as a Freelance NHL Data Analyst, you need strong statistical analysis skills, experience with sports analytics, and a background in data science or a related field. Familiarity with programming languages like Python or R, data visualization tools, and knowledge of advanced hockey metrics are typically required. Excellent communication, attention to detail, and the ability to deliver actionable insights under tight deadlines are standout soft skills. These abilities are crucial for interpreting complex data, providing valuable insights to clients, and succeeding in a competitive, fast-paced sports analytics market.
Freelance NHL data analysts often face challenges such as accessing reliable and up-to-date datasets, managing project-based workloads, and effectively communicating complex findings to clients with varying levels of analytics expertise. Building strong relationships with reputable data providers, staying organized with project management tools, and developing clear, visual presentations can help address these issues. Additionally, networking within the hockey analytics community and continually updating technical skills are key strategies for long-term success and repeat business.
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