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Baseball Analysts Jobs (NOW HIRING)

Season runs from May 30 to August 9* - Oversee the successful operation of all baseball technology ... Coordinate with other league teams' staff as needed. - Assist in creating analytics-based content ...

The Baseball Test Analyst is expected to support the PlayStation Studios QA department in all areas including: Responsibilities: * Executing test plans on pre-release versions of software * Assessing ...

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Baseball Analysts information

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How much do baseball analysts jobs pay per year?

As of Sep 12, 2026, the average yearly pay for baseball analysts in the United States is $50,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $60,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Baseball Analysts job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 7% Part Time, and 11% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $50,906 per year, or $24.5 per hour.

Apprentice, Baseball Research & Development

Arlington, TX

Part-time

Posted 10 days ago


Job description

It's fun to work in a company where people truly BELIEVE in what they're doing!

We're committed to bringing passion and customer focus to the business.

JOB SUMMARY: The Texas Rangers are seeking candidates for an Apprenticeship in Baseball Analytics based in Arlington, TX.

ESSENTIAL FUNCTIONS OF POSITION INCLUDE, BUT ARE NOT LIMITED TO THE FOLLOWING:

  • Query and report on data
  • Build and maintain analytical tools, metrics, & models
  • Create compelling data visualizations and stories
  • Research game changing ideas and concepts
  • Present information to team leaders and organizational stakeholders
  • All other duties as assigned.

PREFERRED QUALIFICATIONS:

  • Bachelor's Degree in mathematics, engineering, computer science, data science, or related field
  • Strong knowledge of baseball analytics and associated data & technologies
  • Proficiency in Python, SQL, R, Shiny and/or other analytical tools
  • Familiarity with concepts such as predictive modelling, cloud computing, machine learning, artificial intelligence, and Bayesian analysis
  • Strong written & verbal communication as well as visualization skills
  • A creative mindset, open-mindedness, and desire to work in a learning culture

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of the job.


If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!