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Entry Level Sport Data Analyst Jobs in Raleigh, NC

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Entry-Level Research Associate Location: Chapel Hill, NC Position Type: This is a full-time, hybrid ... Analytical Thinking: Ability to think critically and analyze data to derive meaningful insights

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Entry-Level Research Associate Location: Chapel Hill, NC Position Type: This is a full-time, hybrid ... Analytical Thinking: Ability to think critically and analyze data to derive meaningful insights

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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... analyze system data using monitoring equipment · Apply NEC, NFPA, IEEE, and ANSI standards in your work · Collaborate with project teams and contribute to safe, high-quality project execution · ...

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

Data Clerk I

Raleigh, NC · On-site

$21.70 - $26.58/hr

Data analysis and interpretation skills. * Strong written and verbal communication skills. * Highly ... Bachelor's degree in accounting or commensurate relevant experience preferred. * Entry level ...

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Entry Level Sport Data Analyst information

See Raleigh, NC salary details

$12

$32

$60

How much do entry level sport data analyst jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for entry level sport data analyst in Raleigh, NC is $32.01, according to ZipRecruiter salary data. Most workers in this role earn between $20.58 and $35.77 per hour, depending on experience, location, and employer.

How to get into sports data analysis?

To enter sports data analysis as an entry-level professional, develop skills in data management, statistical analysis, and visualization using tools like Excel, SQL, and Python. Gaining experience through internships, online courses, or certifications in sports analytics can improve your prospects and understanding of sports-specific data sets.

Can a data analyst work in sports?

A data analyst can work in sports by analyzing player performance, game statistics, and team data to support decision-making. Entry-level sports data analysts often use tools like Excel, SQL, and sports analytics software, and may require knowledge of sports metrics and data visualization. This role involves working with sports organizations, teams, or media companies to improve strategies and outcomes.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data collection, Excel, and data visualization tools like Tableau or Power BI. These roles often serve as starting points for those new to the field and may require little to no professional experience or certifications.

How to become a sports analyst with no experience?

To become an entry-level sports data analyst with no experience, focus on developing skills in data analysis, statistics, and sports knowledge through online courses or certifications. Gaining proficiency in tools like Excel, SQL, or sports analytics software and building a portfolio with personal projects or internships can improve your chances of entry into the field.

What is the difference between Entry Level Sport Data Analyst vs Junior Sports Data Coordinator?

AspectEntry Level Sport Data AnalystJunior Sports Data Coordinator
Required CredentialsBachelor's in Sports Management, Statistics, or related fieldBachelor's in Sports Management, Data Analytics, or related field
Work EnvironmentSports teams, analytics firms, media outletsSports organizations, event management companies
Employer & Industry UsageCommonly used in sports analytics and mediaUsed in sports event coordination and team support
Search & Comparison IntentUnderstanding entry-level sports data rolesExploring roles in sports data coordination

Both roles require similar educational backgrounds and are found within sports organizations, but the Entry Level Sport Data Analyst focuses more on data analysis and reporting, while the Junior Sports Data Coordinator emphasizes coordination and support tasks. The choice depends on whether you prefer analytical or operational roles within the sports industry.

What are some typical projects or tasks an Entry Level Sport Data Analyst might work on during their first year?

As an Entry Level Sport Data Analyst, you can expect to assist with collecting, cleaning, and organizing raw sports data from various sources, such as game statistics and player performance metrics. You'll likely help prepare reports and visualizations for coaches or management, and may be involved in supporting senior analysts during deeper statistical or trend analyses. Collaboration with other analysts, IT staff, and coaching teams is common, and you may also have the opportunity to learn new software or programming languages to enhance data analysis capabilities. These foundational tasks are essential for building your expertise in sports analytics and contributing to the team's decision-making processes.

What does an Entry Level Sport Data Analyst do?

An Entry Level Sport Data Analyst is responsible for collecting, processing, and analyzing sports-related data to help teams, coaches, and management make informed decisions. Their tasks often include tracking player and team statistics, creating reports, and using software to identify trends and insights. They work closely with coaches and other analysts to provide valuable information that can improve performance and strategy. This role is ideal for individuals with strong analytical skills and a passion for sports, offering a pathway into the growing field of sports analytics.

What are the key skills and qualifications needed to thrive as an Entry Level Sport Data Analyst, and why are they important?

To thrive as an Entry Level Sport Data Analyst, you need a solid grounding in statistics, data interpretation, and a relevant degree such as mathematics, statistics, or sports management. Familiarity with data analysis tools like Excel, SQL, Python, or specialized sports analytics software is typically required. Strong attention to detail, critical thinking, and clear communication skills help you present insights to coaches and stakeholders effectively. These skills and qualities enable accurate performance evaluation, data-driven decision-making, and clear reporting within fast-moving sports environments.
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 job categories do people searching Entry Level Sport Data Analyst jobs in Raleigh, NC look for? The top searched job categories for Entry Level Sport Data Analyst jobs in Raleigh, NC are:
Infographic showing various Entry Level Sport Data Analyst job openings in Raleigh, NC as of July 2026, with employment types broken down into 11% Internship, 52% Full Time, 32% Part Time, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $66,575 per year, or $32 per hour.
Entry Level Data Analyst (Remote)

Entry Level Data Analyst (Remote)

SynergisticIT

Durham, NC • On-site

Other

Posted 24 days ago


Job description

Junior Data Scientist — Move From ML Courses to Real Job Readiness Have you completed courses in Python, machine learning, statistics, or data science but still feel unsure about applying for jobs? Many candidates know the theory behind models, but employers want to see whether you can clean data, explore datasets, choose the right model, evaluate results, explain tradeoffs, and communicate findings in a business-friendly way. SynergisticIT is seeking candidates interested in junior data science roles involving Python, SQL, machine learning, statistics, data visualization, model evaluation, NLP, predictive analytics, and applied AI concepts. This opportunity is ideal for candidates who want to move beyond tutorials and create a stronger, more employer-ready profile. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Client JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ 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/ SynergisticIT JOPP is good for aspiring data scientists because it helps candidates connect learning with hiring expectations. The program's placement-focused approach supports practical skill development, project work, interview preparation, and profile positioning so candidates can better compete in a crowded data science market. Build the confidence, projects, and preparation needed for data science opportunities— 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.