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Full Time Baseball Data Analytics Jobs in California

Manager, Data Analytics

Santa Monica, CA ยท On-site

$158K - $224K/yr

About the Manager, Data Analytics at Headspace: What you will do: * Drive significant business ... The anticipated new hire base salary range for this full-time position is $158,900 - $224,250 ...

Sr Analyst, Data Analytics

San Jose, CA ยท On-site

$100K - $127K/yr

... Data Analytics in San Jose, CA Job Duties: Develop and implement the data strategy, targeting and ... Full-time telecommuting permitted from anywhere in the US. Minimum Requirements: Master's degree ...

Baseball Test Analyst

San Diego, CA ยท 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 ...

Junior Data Analyst

Los Angeles, CA ยท On-site +1

$26 - $37/hr

Support the development of data models and algorithms for more advanced analytics. * Reporting and ... Job Type: * Full time Pay: * $26.00 - $37.00 per hour Expected hours: * 40 hours per week Benefits ...

Data Analyst

Riverside, CA ยท On-site

$142K/yr

Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee ... support the Data & Analytics team at Naval Surface Warfare Center (NSWC) Corona. The ideal ...

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Full Time Baseball Data Analytics information

What does a full time baseball data analyst do?

A full-time baseball data analyst collects, organizes, and interprets game and player data to provide insights that can improve team performance and strategy. They use statistical tools and software, such as SQL or R, and often work closely with coaching staff and management to inform decision-making.

How to get a full time baseball data analytics job?

To secure a full-time baseball data analytics position, candidates should have a strong background in statistics, programming (such as Python or R), and data visualization tools. Gaining experience through internships, building a portfolio of relevant projects, and understanding baseball metrics and game data are also important for success in this field.

What is the difference between Full Time Baseball Data Analytics vs Part Time Baseball Data Analytics?

AspectFull Time Baseball Data AnalyticsPart Time Baseball Data Analytics
Work HoursTypically 40+ hours per weekLess than 20 hours per week
Employment StatusFull-time employeePart-time or freelance
ResponsibilitiesIn-depth analysis, reporting, and long-term projectsAd-hoc analysis, support roles
CredentialsDegree in data science, statistics, or related fieldSimilar credentials, but often less extensive
Work EnvironmentTeam-based, office or remoteFlexible, often remote or freelance

Full Time Baseball Data Analytics involves a consistent, full-time commitment with comprehensive responsibilities, while Part Time Baseball Data Analytics offers flexible, shorter-term engagement with similar skill requirements. The choice depends on your career goals and availability.

How much do full time baseball data analysts make?

Full-time 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 advanced analytics roles can earn higher salaries, often supplemented with bonuses or benefits.
What are the most commonly searched types of Baseball Data Analytics jobs in California? The most popular types of Baseball Data Analytics jobs in California are:
What cities in California are hiring for Full Time Baseball Data Analytics jobs? Cities in California with the most Full Time Baseball Data Analytics job openings:

Los Angeles Angels-Full Time Data Engineer, Baseball Systems

Angels Baseball

Anaheim, CA โ€ข On-site

$95K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 18 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.