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Baseball Data Jobs (NOW HIRING)

TOCA Football

Baseball Coach

Kennesaw, GA · On-site

Kennesaw, GA Report To: D-Bat Baseball Manager Hours Required: Flexible Hours, but must be ... Get in the game with one-on-one sessions, tailored training plans, and baseline data reviews. Your ...

TOCA Football

Baseball Coach

Cobb, GA · On-site

Kennesaw, GA Report To: D-Bat Baseball Manager Hours Required: Flexible Hours, but must be ... Get in the game with one-on-one sessions, tailored training plans, and baseline data reviews. Your ...

Pine Crest School

Coach - Baseball

Fort Lauderdale, FL · On-site

Utilize video and data (if available) to improve player performance * Coordinate with varsity staff ... Baseball (high school and college preferred)Strong leadership, motivational skills, and clear ...

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Baseball Data information

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How much do baseball data jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for baseball data in the United States is $36.26, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $39.66 per hour, depending on experience, location, and employer.

What is a baseball data analyst?

Baseball data analysts are professionals who collect, process, and interpret data related to baseball games and players. They use statistical techniques and software tools to evaluate player performance, develop strategies, and support decision-making for teams and coaches. Their work often involves advanced analytics, including sabermetrics, to gain insights that traditional scouting might miss. Baseball data analysts play a crucial role in modern baseball organizations, helping teams gain competitive advantages through data-driven approaches.

What are the key skills and qualifications needed to thrive as a baseball data analyst?

To thrive as a Baseball Data Analyst, you need strong statistical analysis skills, proficiency in sports analytics, and typically a degree in statistics, mathematics, or a related field. Familiarity with technical tools such as SQL, R, Python, and data visualization platforms, along with experience using baseball-specific databases like Statcast, is essential. Attention to detail, critical thinking, and effective communication are standout soft skills for interpreting and presenting complex data to coaches and executives. These skills are crucial for delivering actionable insights that improve team performance and inform strategic decision-making.

How does a baseball data analyst typically collaborate with coaches and players to drive on-field performance improvements?

Baseball Data Analysts often work closely with coaches and players by translating complex statistical findings into actionable insights. They attend team meetings, provide scouting reports, and help tailor training plans based on data-driven evaluations. Analysts may also prepare visualizations or summaries that make advanced metrics accessible for non-technical staff, ensuring everyone understands how data can inform strategy and player development. This collaborative environment fosters a culture of continuous improvement and evidence-based decision-making.

What is the difference between Baseball Data vs Baseball Analyst?

AspectBaseball DataBaseball Analyst
Required CredentialsBasic knowledge of statistics, data collection skillsAdvanced analytics, statistical modeling, and interpretation skills
Work EnvironmentData entry, database management, researchData analysis, reporting, strategic recommendations
Industry UsageData collection and management in sports organizationsAnalyzing data to inform team decisions and player evaluations

Baseball Data involves gathering and managing raw data related to baseball games, players, and statistics. In contrast, a Baseball Analyst interprets this data to provide insights, strategies, and recommendations. While Baseball Data focuses on data collection, Baseball Analysts focus on analysis and application of that data to improve team performance and decision-making.

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Baseball Data jobs near you
Infographic showing various Baseball Data job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $75,411 per year, or $36.3 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 3 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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