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

Our brand family includes Balega, Harbinger, TriggerPoint, Perfect, Sport-Brella, DryGuy, SKLZ ... Analytical - Collect, Process & Interpret Business Insights from Data; Attention to Detail

Our brand family includes Balega, Harbinger, TriggerPoint, Perfect, Sport-Brella, DryGuy, SKLZ ... Analytical - Collect, Process & Interpret Business Insights from Data; Attention to Detail

Our brand family includes Balega, Harbinger, TriggerPoint, Perfect, Sport-Brella, DryGuy, SKLZ ... Translate complex sales and account performance data into clear, actionable commercial ...

Our brand family includes Balega, Harbinger, TriggerPoint, Perfect, Sport-Brella, DryGuy, SKLZ ... Translate complex sales and account performance data into clear, actionable commercial ...

Project Manager, Data Strategy

Raleigh, NC

$50.25 - $68/hr

THETEAM operates at the epicenter of sports, music and entertainment, serving talent, brands and ... Conduct landscape and options analysis to inform build-vs-buy and tooling decisions from a business ...

Senior Social Media Analyst

Raleigh, NC · On-site

$75K - $100K/yr

THETEAM operates at the epicenter of sports, music and entertainment, serving talent, brands and ... Own measurement systems for your clients including managing data collection and recommending ...

Due to a recent promotion, we have an exciting opening to join our team as a Sports Sales Manager ... Ability to analyze market data and develop effective strategies for success. * Proficiency in CRM ...

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Showing results 1-20

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 Aug 11, 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.

Can a sport data analyst become a sports analyst?

A sport data analyst can transition to a sports analyst role, as both positions involve analyzing sports data and providing insights. However, a sports analyst may focus more on broader performance analysis, commentary, or scouting, often requiring strong communication skills and industry knowledge. Gaining experience in presentation, reporting, and understanding game strategies can facilitate this career shift.

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 technical skills such as proficiency in data analysis tools and programming languages. Entry-level positions may start around $40,000, while experienced analysts or those working with professional teams can earn over $100,000 per year.

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.

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 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 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 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $80,333 per year, or $38.6 per hour.

Junior Data scientist with Snowflake and databricks

SynergisticIT

Chapel Hill, NC • On-site

Other

Posted 8 days ago


Job description

Don’t Let the Job Market Intimidate You ! Let’s get You Interviews and Offers with a Process! The tech job market can feel overwhelming, especially with layoffs and increased competition. But you don’t have to navigate it alone. SynergisticIT gives you the toolsand support needed to stand out. You’ll work on real projects, master in‑demand technologies, and receive interview preparation that boosts your confidence. Also get your profile directly to Fortune 500 companies, ensuring your skills reach real hiring managers. Instead of feeling intimidated, you’ll feel empowered. The job market isn’t impossible — you just need the right strategy, and Synergisticit provides exactly that. A degree gives you a foundation, but employers want more — they want proof you can apply your knowledge in real‑world scenarios. Employers want candidates who demonstrate practical skills, confidence, and readiness. SynergisticIT gives you the tools to rise above the noise. Getting hired in tech isn’t just about knowing how to code — it’s about proving you can deliver value from day one. Getting interviews but not converting them into offers is one of the most frustrating stages of a tech job search. It’s also one of the most fixable—because interview performance is rarely about intelligence. It’s usually about preparation structure, repetition, communication clarity, and knowing what interviewers actually test. Many candidates learn coding, but they don’t learn how to present their skills under pressure. SynergisticIT is designed for candidates who want to stop guessing and start improving with a clear framework. Since 2010, SynergisticIT has helped thousands of candidates land full-time jobs at tech leaders and enterprise employers—companies such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Deloitte, and many more—with offers often ranging from $95,000 to $154,000 depending on role and skill depth. The focus is: build job-ready ability + interview confidence + hiring alignment so you can close the deal when opportunities appear. Why do people fail interviews after doing CS or online courses? Typically it’s one (or several) of these gaps: Weak fundamentals (you know syntax, but not the “why”) Poor project explanation (you built something, but can’t defend design decisions) Shallow system understanding (APIs, DB design, CI/CD, cloud basics are fuzzy) No repetition under pressure (whiteboard/online assessments feel unfamiliar) Lack of structured mock interview practice SynergisticIT addresses these gaps by treating interviews as a skill you work on—like a sport. You don’t just watch videos; you practice real drills. We emphasize on real interview patterns: coding questions, debugging, project walkthroughs, behavioral responses, and the ability to speak clearly about your work. What kinds of roles are being targeted? Instead of chasing every shiny trend, JOPP focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer. In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI—because companies hire teams, not single-skill candidates. Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can’t convert interviews, and F1/OPT candidates needing a stable path. SynergisticIT also supports candidates with guidance around STEM extension and offers process support relating to H-1B/Green Card filing once employed (as applicable through employers and standard immigration processes). Please read our blogs If you’re already getting interviews, you’re closer than you think. Now it’s time to train like you mean it—and turn interviews into offers. If you want to explore, here are the key links: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.