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$40.5K

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How much do manager baseball statistician jobs pay per year?

As of Jun 27, 2026, the average yearly pay for manager baseball statistician in the United States is $83,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What are Manager Baseball Statisticians?

Manager Baseball Statisticians are professionals who oversee the collection, analysis, and interpretation of baseball data to support a team’s decision-making processes. They manage statistical teams, coordinate data tracking during games, and ensure the accuracy of player and game statistics. Their work helps coaches and executives make informed choices about player performance, strategy, and scouting. Additionally, they may present analytics reports and develop new statistical models to improve team outcomes.

What is the role of a manager?

A manager is responsible for overseeing team operations, coordinating tasks, and ensuring goals are met. In a baseball statistician role, they may also analyze data, develop strategies, and communicate findings to coaching staff. Strong leadership, organizational skills, and knowledge of statistical tools are essential for success.

What are the 4 types of managers?

In management, the four main types are top-level managers who set overall strategy, middle managers who oversee departments, first-line managers who supervise daily operations, and functional managers responsible for specific areas like sales or HR. Each type requires different skills and levels of decision-making within an organization.

What is the definition of a manager?

A manager in a baseball statistics context is responsible for overseeing the team's strategy, making lineup decisions, and managing player usage during games. They work closely with coaching staff and utilize statistical data to inform game tactics. The role often requires leadership skills and knowledge of baseball analytics tools.

What is the difference between Manager Baseball Statistician vs Baseball Data Analyst?

AspectManager Baseball StatisticianBaseball Data Analyst
CredentialsTypically requires a degree in statistics, sports management, or related field; experience in baseball analyticsUsually holds a degree in statistics, data science, or related discipline; familiarity with baseball data
Work EnvironmentWorks with coaching staff, team management, and players; often within a sports organizationWorks with large datasets, software tools, and visualization platforms; may be employed by teams or analytics firms
Industry UsageCommonly employed in professional and college baseball teams for strategic decisionsUsed across sports organizations, media, and analytics companies for data-driven insights

The main difference is that a Manager Baseball Statistician focuses on managing and applying baseball statistics within a team setting, often overseeing other analysts, while a Baseball Data Analyst primarily analyzes data to generate insights, often working independently or in broader analytics roles. Both roles require strong analytical skills and baseball knowledge but differ in responsibilities and work environment.

What are the key skills and qualifications needed to thrive as a Manager Baseball Statistician, and why are they important?

To thrive as a Manager Baseball Statistician, you need a strong background in statistics, data analysis, and baseball knowledge, often backed by a degree in statistics, mathematics, or a related field. Familiarity with analytical software like R, SQL, Python, and experience with baseball data systems such as TrackMan or Statcast are typically required. Outstanding attention to detail, communication skills, and the ability to collaborate with coaches and players set top candidates apart. These skills are crucial for accurately analyzing player performance, informing strategic decisions, and supporting team success.

How does a Manager Baseball Statistician typically collaborate with coaching staff and players to influence game strategy?

A Manager Baseball Statistician works closely with coaches and players by analyzing statistical data to provide actionable insights that shape game strategy and player development. They present data-driven recommendations during pre-game meetings, review player performance metrics, and suggest adjustments based on opponent tendencies. Effective communication and the ability to translate complex statistics into practical advice are vital, as the role often serves as a bridge between analytics and on-field decision-making. Collaborative teamwork and adaptability are essential, especially during high-pressure situations where real-time data can impact in-game strategies.

What is another word for manager or leader?

In the context of a Manager Baseball Statistician, a synonym for manager or leader is supervisor, director, or team lead. These terms refer to individuals who oversee operations, coordinate tasks, and guide team members in a professional environment, often requiring leadership skills and knowledge of the field. Such roles may also involve decision-making and strategic planning within the organization.
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Manager Baseball Statistician jobs near you
Infographic showing various Manager Baseball Statistician job openings in the United States as of June 2026, with employment types broken down into 9% Internship, 59% As Needed, 4% Full Time, 26% Nights, and 2% Summer. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $83,657 per year, or $40.2 per hour.
Fellow, Baseball Strategy

Fellow, Baseball Strategy

Baltimore Orioles

Baltimore, MD

$18 - $20/hr

Other

Posted 21 days ago

Job description

Job Summary

This position is responsible for assisting in the creation and maintenance of econometric tools to support decision-making in Baseball Operations, with a focus on labor market economics and asset valuation.  The employee will work closely with the professional scouting and analytics departments to inform strategic thinking.

Primary Responsibilities

  • Research economic issues pertaining to roster construction and player acquisition.
  • Design, analyze, and test interpretable predictive models and tools using R or Python.
  • Execute SQL database queries to filter, clean and prepare data from existing database.
  • Work with end users to understand modeling needs.
  • Assist with database management.
  • Perform other duties and ad-hoc reports as assigned.

Desired Qualifications

  • Completion of or progressing towards Bachelor's degree in Economics, Finance, Mathematics, Operations Research, Statistics, or a related field. Applicants with a non-traditional educational background and experience will be considered as well.
  • Familiarity with SQL and R/Python
  • Familiarity with MLB's Collective Bargaining Agreement and transaction rules.
  • Strong interest in MLB transactions involving player personnel
  • Strong written and oral communication skills.
  • Excellent interpersonal skills with the ability to collaborate with staff members of all levels.
  • Willingness to work non-traditional hours (nights, weekends, holidays).
The anticipated hourly rate for this role is $18 - $20/hour depending on experience. 
  
The Baltimore Orioles are committed to providing competitive pay and benefits for our employees.     
  
This information is being provided in accordance with the Maryland Equal Pay for Equal Work - Wage Range Transparency law. 

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