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Sport Data Analyst Jobs in Raleigh, NC (NOW HIRING)

Implus Footcare, LLC is an industry-leading global consumer packaged goods company with 20+ brands in footwear accessories, hosiery, specialty running, outdoor, fitness and movement categories.

Implus Footcare, LLC is an industry-leading global consumer packaged goods company with 20+ brands in footwear accessories, hosiery, specialty running, outdoor, fitness and movement categories.

SponsorUniversity Regional Scout

Cary, NC · On-site

$1.2K - $1.5K/wk

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen. We are an equal opportunity

Project Manager, Data Strategy

Raleigh, NC · On-site

$50.25 - $68/hr

THETEAM operates at the epicenter of sports, music and entertainment, serving talent, brands and properties on a global scale. Headquartered in Los Angeles, THETEAM's presence spans 28 countries and

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Sport Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do sport data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for sport data analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

What does a sport data analyst do?

As a sports data analyst, your job is to collect and monitor the statistics for an athlete, game, or team. As part of this analysis, you may use an algorithm to help predict future performance, help apply the information to business decisions, or provide stats and feedback for announcers to mention during a game. Sports data analyst roles fall into two positions. The first is the business aspect. In this version of the job, your main role is helping improve the team's performance by applying data. In the second position, you focus more on entertainment and providing data to fans who want to know more about the athletes. This is a more time-sensitive job during games, and most sports data analysts spend hours inputting and evaluating information so they can be ready to answer questions.

What are the key skills and qualifications needed to thrive as a sport data analyst?

To thrive as a Sport Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as mathematics, data science, or sports analytics. Familiarity with data analysis tools like SQL, Python, R, and sports-specific software, as well as experience with data visualization platforms, is often required. Excellent communication, attention to detail, and the ability to work collaboratively with coaches and athletes are standout soft skills. These competencies are crucial for translating complex data into actionable insights that improve team performance and strategic decision-making.

How does a sport data analyst typically collaborate with coaches and athletes to improve team performance?

Sport Data Analysts work closely with coaches and athletes to translate complex data into actionable insights that enhance performance. They often attend training sessions and matches to collect real-time data, and then meet with coaching staff to discuss trends, strengths, and areas for improvement. Effective communication is crucial, as analysts must present their findings in an understandable way that can directly inform game strategies, player development, and injury prevention. This collaborative environment fosters a cycle of continuous feedback and data-driven decision making.

What is the difference between Sport Data Analyst vs Sports Statistician?

AspectSport Data AnalystSports Statistician
Required CredentialsBachelor's in Sports Management, Data Science, or related fields; proficiency in data analysis toolsBachelor's or higher in Statistics, Mathematics, or related fields; strong analytical skills
Work EnvironmentSports teams, analytics firms, media companies, or sports organizationsResearch institutions, sports organizations, or media outlets
Employer & Industry UsageUsed for performance analysis, player evaluation, and strategic decision-makingUsed for statistical modeling, historical data analysis, and record keeping

While both roles involve analyzing sports data, Sport Data Analysts focus on applying data insights to improve team performance and strategy using advanced tools. Sports Statisticians primarily handle data collection, record-keeping, and statistical modeling. The roles often overlap but differ in their primary focus and application within the sports industry.

How much do sport data analysts get paid?

Sport data analysts typically earn between $50,000 and $80,000 annually, with salaries increasing with experience, education, and the level of the organization. Entry-level positions may start around $40,000, while senior analysts or those working for major sports teams can earn over $100,000. Skills in data analysis tools and sports statistics are highly valued in this role.

What are the most commonly searched types of Sport Data Analyst jobs in Raleigh, NC?

The most popular types of Sport Data Analyst jobs in Raleigh, NC are:

What are popular job titles related to Sport Data Analyst jobs in Raleigh, NC?

For Sport Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Sport Data Analyst jobs in Raleigh, NC look for?

The top searched job categories for Sport Data Analyst jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Sport Data Analyst jobs?

Cities near Raleigh, NC with the most Sport Data Analyst job openings:

Infographic showing various Sport Data Analyst job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Online Data Analyst – Fully Remote Position

Are you a detail-oriented individual with a passion for research and a good understanding of national and local geography? This freelance opportunity allows you to work at your own pace and from the comfort of your own home.

A Day in the Life of an Online Data Analyst:

  • In this role, you will be working on a project aimed at enhancing the content and quality of digital maps that are used by millions of people worldwide.
  • Completing research and evaluation tasks in a web‐based environment such as verifying and comparing data, and determining the relevance and accuracy of information.

Join us today and be part of a dynamic and innovative team that is making a difference in the world!

TELUS Digital AI Community

Our global AI Community is a vibrant network of 1 million+ contributors from diverse backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world's largest brands.

Qualification path

No previous professional experience is required to apply to this role, however, working on this project will require you to pass the basic requirements and go through a standard assessment process. This is a part‐time long‐term project and your work will be subject to our standard quality assurance checks during the term of this agreement.

Basic Requirements

  • Full professional proficiency in Urdu and English.
  • Being a resident in the United States or having lived in the United States for the last 2 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in the United States.
  • Ability to follow guidelines and conduct online research using search engines, online maps, and website information.
  • Flexibility to work across a diverse set of task types, including maps, news, audio tasks, and relevance.
  • Daily access to a broadband internet connection, a computer, and relevant software.

Assessment

In order to be hired into the program, you'll take an open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience.

All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants' qualifications, merits, competence, and performance without regard to any characteristic related to diversity.

Seniority level

  • Entry level

Employment type

  • Part‐time

Job function

  • Information Technology, Analyst, and Other

Industries

  • Information Services and Technology, Information and Media