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Baseball Data Analytics Jobs (NOW HIRING)

PlayStation Global

Baseball Test Analyst

San Diego, CA · On-site

$17.75 - $18/hr

The Baseball Test Analyst is expected to support the PlayStation Studios QA department in all areas ... data for the market and geographic location. Please note that the individual base pay range may ...

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$81.5K

$140K

How much do baseball data analytics jobs pay per year?

As of Aug 6, 2026, the average yearly pay for baseball data analytics in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in baseball data analytics, and why are they important?

To thrive in Baseball Data Analytics, you need strong statistical analysis capabilities, proficiency in sports analytics, and a background in mathematics, computer science, or a related field. Familiarity with data visualization tools, SQL databases, Python or R programming, and platforms like TrackMan or Statcast is typically required. Excellent communication, teamwork, and critical thinking are valuable soft skills to clearly present insights and collaborate with coaching staff. These abilities are essential for transforming complex data into actionable strategies that improve team performance and decision-making.

What is a baseball data analytics job?

A Baseball Data Analytics job involves collecting, analyzing, and interpreting baseball data to provide insights that help teams make better decisions. Analysts work with player performance metrics, in-game statistics, and predictive models to assess talent, optimize strategies, and improve overall team performance. These roles require strong statistical and programming skills, often using tools like SQL, Python, and R. Many analysts work for MLB teams, minor league affiliates, or sports technology companies.

How to get a baseball data analytics job?

To get a baseball data analytics job, candidates should develop strong skills in statistics, programming (such as Python or R), and data visualization tools. Gaining experience through internships, projects, or certifications in sports analytics can improve prospects, and familiarity with baseball metrics and databases like Statcast or Baseball-Reference is beneficial.

What are typical daily tasks for someone working in baseball data analytics?

A professional in Baseball Data Analytics often spends their day collecting and cleaning player and game data, performing in-depth statistical analyses, and developing models to evaluate player performance or inform tactical decisions. They regularly collaborate with coaches, scouts, and front-office staff to translate complex findings into actionable advice. In addition, they may create visualizations or reports using tools like Tableau or Power BI and stay updated with new analytical methods and technologies in sports. This dynamic environment offers opportunities to contribute directly to the team’s competitive strategy while constantly learning new industry trends.

What does a baseball data analyst do?

A baseball data analyst collects, analyzes, and interprets game and player data to identify patterns and improve team performance. They use statistical tools and software, such as R or SQL, to create reports and models that support strategic decisions in the sport.

How much do baseball data analysts make?

Baseball data analysts typically earn between $50,000 and $100,000 annually, depending on experience, education, and the level of the organization. Entry-level positions may start lower, while experienced analysts working with major league teams or in advanced analytics roles can earn higher salaries, often supplemented with bonuses or benefits. Proficiency in statistical tools and data visualization software is often required for higher-paying positions.
More about Baseball Data Analytics jobs
What cities are hiring for Baseball Data Analytics jobs? Cities with the most Baseball Data Analytics job openings:
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Baseball Data Analytics jobs near you
Infographic showing various Baseball Data Analytics job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% In-person job distribution, with an average salary of $81,518 per year, or $39.2 per hour.

Los Angeles Angels-Full Time Data Engineer, Baseball Systems

Angels Baseball

Anaheim, CA • On-site

$95K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 19 days ago

Job description

Overview:
The Los Angeles Angels are seeking a Data Engineer, Baseball Systems to join the Baseball Operations Research & Development team. In this role, you will work with other developers to design, build, and maintain the data infrastructure that powers the Angels decision-making processes across scouting, player development, and in-game strategy. The position reports directly to the Senior Director, Research and Development.
This position is benefit-eligible including: medical, dental and vision insurance, 401K eligibility; employee contributions after 3 months, employer matching and safe harbor after 1 year and 1000 hours of employment and additional perks not listed above. The expected annual salary for this position can range from $95,000-$110,000. Final offers for this role will be made within the parameters of the salary range provided.
Responsibilities:
  • Design, develop, and maintain robust data pipelines to collect, transform, and store large volumes of baseball-related data from multiple sources
  • Schedule automated job processes to ingest, aggregate, and manipulate data in real or near-real time
  • Work closely with data scientists, developers, IT, and other stakeholders to ensure data quality, availability, and accessibility
  • Implement data validation and monitoring tools to ensure system reliability and data integrity
  • Contribute to system design decisions and engineering best practices within Baseball Operations

Required Qualifications:
  • Solid working knowledge of Python (2+ years strongly preferred), preferably using pandas
  • Proficient in SQL principles, including table keys, indexes, data modeling, and stored procedures
  • Ability to design scalable, high-performance data solutions
  • Experience using 3rd-party API documentation to build dynamic systems
  • Work in-person at Angel Stadium most days with occasional opportunity for remote work
  • Ability and willingness to work and/or be on-call during nights and weekends as necessary, especially during the baseball season

Preferred Qualifications:
  • Experience designing, building, and maintaining relational databases (SQL Server, PostgreSQL, etc)
  • Knowledge of workflow orchestration tools like Airflow or Dagster
  • Ability to design and implement CI/CD pipelines for testing and deploying applications
  • Experience managing Linux or Windows servers using Bash or Powershell
  • Basic knowledge of storage solutions (NAS, file systems, etc) for storing large volumes of non-relational data
  • Familiarity with cloud-based computing and data warehousing concepts (GCP preferred)
  • Ability to communicate complex technical concepts to non-technical stakeholders
  • A passion for baseball analytics

Physical Demands:
  • Ability to frequently sit for extended periods of time
  • Ability to use hands frequently (for keyboard, mouse and general computer use)
  • Ability to occasionally work in inclement weather (when in stadium)
  • Ability to traverse from office to stadium frequently
  • Ability to occasionally lift up to 20 lbs.

The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required of personnel so classified.
The Angels believe that diversity contributes to a more enriched collective perspective and a better decision-making process. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status, or any other characteristic protected by law.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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