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Entry Level Baseball 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

New

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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

New

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 ...

Financial Analyst I

Morrisville, NC ยท On-site

$23.24 - $33.41/hr

This is an entry level professional position that assists in the preparation of budgets, financial ... Develops strong knowledge of several financial systems and data visualization tools. Assists staff ...

Biologist - Entry Level

Durham, NC ยท On-site

$60K - $80K/yr

... analytical instrumentation, document results, and support data review and interpretation. You will contribute directly to timely, accurate laboratory output while adhering to approved procedures ...

Collects cost data and prepares limited supplier cost/industry analyses. * Supports the Engineering ... Provides entry level sourcing, Enterprise Product Delivery Process (EPDP), Enterprise Order ...

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

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Entry Level Baseball Data Analyst information

See Raleigh, NC salary details

$12

$32

$60

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

As of Jul 19, 2026, the average hourly pay for entry level baseball 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.

What are the key skills and qualifications needed to thrive in the Entry Level Baseball Data Analyst position, and why are they important?

To thrive as an Entry Level Baseball Data Analyst, you need strong analytical skills, a solid understanding of baseball statistics, and a relevant degree such as mathematics, statistics, or a related field. Familiarity with data analysis tools like SQL, R, Python, and databases, as well as experience with sports analytics platforms, is highly beneficial. Clear communication, teamwork, and attention to detail are important soft skills for translating data insights and working with coaches or scouting staff. These abilities are essential to effectively interpret data, support team decision-making, and help drive competitive strategies in a fast-paced sports environment.

What are some typical projects or tasks an Entry Level Baseball Data Analyst might work on during a season?

As an Entry Level Baseball Data Analyst, you'll regularly collect and organize player performance data, prepare reports for coaches or scouts, and maintain large databases of game statistics. You may assist in analyzing trends such as player tendencies, pitch effectiveness, or opponent strategies to support game preparation and evaluate potential trades or draft picks. Collaboration with other analysts, coaches, and front office staff is common, so you'll often attend meetings to present findings and make recommendations. This role provides hands-on experience with real-time analytics and offers opportunities to contribute insights that can impact team decisions and player development.

What is an Entry Level Baseball Data Analyst job?

An Entry Level Baseball Data Analyst is responsible for collecting, analyzing, and interpreting baseball-related data to support decision-making in player evaluation, game strategy, and team performance. They use statistical models, databases, and programming languages like SQL, Python, or R to generate insights. This role often involves working with coaches, scouts, and front-office staff to apply data-driven recommendations. Strong analytical skills, attention to detail, and knowledge of baseball metrics are essential for success in this position.

What are the most commonly searched types of Baseball Data Analyst jobs in Raleigh, NC? The most popular types of Baseball Data Analyst jobs in Raleigh, NC are:
What are popular job titles related to Entry Level Baseball Data Analyst jobs in Raleigh, NC? For Entry Level Baseball Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Entry Level Baseball Data Analyst jobs in Raleigh, NC look for? The top searched job categories for Entry Level Baseball Data Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Entry Level Baseball Data Analyst jobs? Cities near Raleigh, NC with the most Entry Level Baseball Data Analyst job openings:
Infographic showing various Entry Level Baseball Data Analyst job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 81% Full Time, 11% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote 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 โ€ข On-site

Other

Posted 15 days ago


Job description

Junior Data Scientist โ€” 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 opportunitiesโ€” 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.