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Entry Level Baseball Data Analyst Jobs (NOW HIRING)

Wilson Sporting Goods Co.

Master Data Analyst

Sparta, TN · On-site

$21 - $26/hr

What You'll Do Why This Role Matters In baseball apparel manufacturing, precision isn't just for ... As a Master Data Analyst , you will ensure that data integrity powers everything we do: * Customer ...

Wilson Sporting Goods Co.

Master Data Analyst

Sparta, TN

$21 - $26/hr

Why This Role Matters In baseball apparel manufacturing, precision isn't just for the game. It is ... As a Master Data Analyst , you will ensure that data integrity powers everything we do: * Customer ...

TheHomeMag

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Business Data Analyst (Entry Level)

Cape Coral, FL · On-site

$50K - $65K/yr

Business Data Analyst (Entry Level) Cape Coral, FL | Full-Time | On-Site About the Role We are seeking a motivated and detail-oriented Entry Level Business Data Analyst to join our growing team in ...

Managed Staffing

Data analyst I

Austin, TX · On-site

$25 - $28/hr

1-3 years' experience in data analysis Strong Microsoft Excel skills (must-have) Experience with Power BI Entry-level knowledge of C++ and CSS (nice-to-have, not core) Engineering Technician I Active ...

GainAm

Entry Level Data Analyst job

Hicksville, NY · On-site

$70K/yr

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

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

As of Jun 21, 2026, the average hourly pay for entry level baseball data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 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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Entry Level Baseball Data Analyst jobs near you
Infographic showing various Entry Level Baseball Data Analyst job openings in the United States as of June 2026, with employment types broken down into 66% Full Time, 17% Part Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Senior Data Scientist, Baseball Analytics

Senior Data Scientist, Baseball Analytics

The New York Mets

Queens, NY • On-site

$120K - $150K/yr

Full-time

Posted yesterday

Job description

Job Description:
Summary:
The New York Mets are seeking a Senior Data Scientist in Baseball Analytics. The Senior Data Scientist will build, test, and present statistical models that inform decision-making in all facets of Baseball Operations. This position requires strong background in complex statistics and data analytics, as well as the ability to communicate statistical model details and findings to both a technical and non-technical audience. Prior experience in or knowledge of baseball is a plus, but is not required.
Essential Duties & Responsibilities:
  • Build statistical models to answer a wide variety of baseball-related questions affecting the operations of the organization using advanced knowledge of statistics and data analytics and exercising appropriate discretion and judgment regarding development of statistical models
  • Interpret data and report conclusions drawn from their analyses
  • Present model outputs in an effective way, both for technical and non-technical audiences
  • Communicate well with both the Baseball Analytics team as well as other Baseball Operations personnel to understand the parameters of any particular research project
  • Provide advice on the desired outputs from the data engineering team, and guidance to the Baseball Systems team on how best to present model results
  • Assist with recruiting, hiring, and mentoring new analysts in the Baseball Analytics department
  • Evaluate potential new data sources and technologies to determine their validity and usefulness
  • Consistently analyze recent research in analytics that can help improve the modeling work done by the Baseball Analytics department

Qualifications:
  • Ph.D. in statistics or a related field, or equivalent professional experience
  • Strong background in a wide variety of statistical techniques
  • Strong proficiency in R, Python, or similar, as well as strong proficiency in SQL
  • Basic knowledge of data engineering and front-end development is a plus, for the purpose of communicating with those departments
  • Strong communication skills
  • Ability to work cooperatively with others, and to take control of large-scale projects with little or no daily oversight

The above information is intended to describe the general nature, type, and level of work to be performed. The information is not intended to be an exhaustive or complete list of all responsibilities, duties, and skills required for this position. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. The individual selected may perform other related duties as assigned or requested.
The New York Mets recognize the importance of a diverse workforce and value the unique qualities individuals of various backgrounds and experiences can offer to the Organization. Our continued success depends heavily on the quality of our workforce. The Organization is committed to providing employees with the opportunity to develop to their fullest potential.
Salary Range: $120,000 - $150,000
For technical reasons, we strongly advise to not use an .edu email address when applying. Thank you very much.

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