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Entry Level Baseball Data Analyst Jobs in Raleigh, NC

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.

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.

By interpreting data to inform insights and recommendations, you will uphold and reinforce ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Entry Level Sales

Cary, NC · On-site

$100K/yr

... speed data and communication solutions. Your efforts will drive meaningful connections and ... Conduct consultative needs analyses to tailor product recommendations for each prospective customer

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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 Jun 27, 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.

How can I get into data analytics with no experience?

Entry level baseball data analysts can start by learning foundational skills such as Excel, SQL, and data visualization tools like Tableau. Gaining experience through online courses, personal projects, or internships helps build a portfolio that demonstrates analytical ability to employers.

How to become an MLB data analyst?

To become an MLB data analyst, candidates typically need a bachelor's degree in statistics, data science, or a related field, along with strong skills in data analysis tools like SQL, Python, or R. Experience with baseball metrics and familiarity with sports data sources are also important, and internships or entry-level positions can provide valuable industry exposure.

How much do baseball data analysts make?

Entry-level baseball data analysts typically earn between $40,000 and $60,000 annually, depending on the organization and location. As they gain experience and develop skills in data analysis tools like SQL and Python, salaries can increase significantly.

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.

How to become a data analyst in sports?

To become an entry-level baseball data analyst, you should develop skills in data analysis, statistics, and programming languages like Python or R. Gaining experience with sports data, learning relevant tools such as Excel and SQL, and obtaining a degree in a related field like sports management, statistics, or data science can improve your prospects.
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Infographic showing various Entry Level Baseball Data Analyst job openings in Raleigh, NC as of June 2026, with employment types broken down into 7% As Needed, 59% Full Time, 8% Part Time, 2% Temporary, 22% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $66,575 per year, or $32 per hour.
Entry level java programmer with NLP Deep learning/(Remote)

Entry level java programmer with NLP Deep learning/(Remote)

SynergisticIT

Chapel Hill, NC • On-site

Other

Posted 17 days ago


Job description

Job Opportunities at SynergisticIT

2024 is almost over and we hope the job market improves. Almost 600,000 tech employees have been laid off since 2022 and it's still ongoing. The effect of this has led hundreds of thousands of laid off tech employees competing with existing jobseekers. Entry level job seekers struggle to get responses to their applications, are getting ghosted after interviews.

In such a scenario the job seekers need to differentiate themselves by ensuring to obtain exceptional skills and technologies so that they can wear multiple roles at a client as clients now would want to expand roles and responsibilities assigned to a particular job to save costs.

Since 2010 Synergisticit has helped jobseekers differentiate themselves by providing candidates the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT we just don't focus on getting you a job we make careers. All positions are open for all visas and US citizens. We are matchmakers we provide clients with candidates who can perform from day 1 of starting work. In this challenging economy every client wants to save $$$'s and they want the best value for their money. Jobseekers need to self-evaluate if they have the requisite skills to meet client requirements and needs as clients now post covid can also hire remote workers which increases even more competition for jobseekers. We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, client, visa, walmart lab etc to name a few. We have an excellent reputation with the clients.

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We assist in filing for STEM extension and also for H1b and green card filing to candidates. We are looking for the right matching candidates for our clients. Please apply via the job posting.

Required skills for Java/full stack/software programmer:

  • Bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Project work on the skills
  • Knowledge of core Java, javascript, C++ or software programming
  • Spring boot, microservices, Docker, Jenkins and REST API's experience
  • Excellent written and verbal communication skills

Required skills for data science/machine learning positions:

  • Bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT
  • Project work on the technologies needed
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of statistics, SAS, Python, computer vision, data visualization tools
  • Excellent written and verbal communication skills

Preferred skills: NLP, text mining, Tableau, PowerBI, SAS, Tensorflow. If you get emails from our skill enhancement team please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.