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Baseball Operations Analyst Jobs (NOW HIRING)

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Head Coach, Baseball

Bradenton, FL

Utilize baseball technology, analytics, video review, and modern player development methodologies ... operational delivery, staffing, objectives, and resource allocation. * Lead recruiting and ...

NCSA

Head Coach, Baseball

Bradenton, FL · On-site

Utilize baseball technology, analytics, video review, and modern player development methodologies ... operational delivery, staffing, objectives, and resource allocation. * Lead recruiting and ...

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Baseball Operations Analyst information

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$14

$33

$56

How much do baseball operations analyst jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for baseball operations analyst in the United States is $33.75, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $40.38 per hour, depending on experience, location, and employer.

How much money does a baseball analyst make?

A baseball operations analyst typically earns between $50,000 and $100,000 annually, depending on experience, location, and the level of the organization. Entry-level analysts may start at lower salaries, while those with advanced skills in data analysis and familiarity with tools like SQL or R can earn higher compensation.

What does a baseball operations analyst do?

A baseball operations analyst evaluates player performance, analyzes game data, and provides insights to support team decisions. They often use statistical tools and software to identify trends, assist in player acquisitions, and improve team strategies within a professional baseball environment.

What are Baseball Operations Analysts?

Baseball Operations Analysts are professionals who use data analysis, statistics, and advanced modeling to help baseball teams make informed decisions about player acquisition, game strategy, and overall team performance. They work closely with coaches, scouts, and front office executives to interpret data, create reports, and provide actionable insights. Their work can include analyzing player performance metrics, scouting reports, and opponent data to give their team a competitive edge. Baseball Operations Analysts typically have strong backgrounds in statistics, mathematics, or computer science, and a deep understanding of the game of baseball.

How to get a job in baseball operations?

To get a job as a baseball operations analyst, candidates typically need a strong background in baseball analytics, statistics, or related fields, often holding a degree in sports management, statistics, or a similar discipline. Gaining experience through internships, networking within the industry, and proficiency with data analysis tools like SQL or R can improve prospects. Demonstrating knowledge of player evaluation, scouting, and game strategy is also valuable for securing a position in baseball operations.

What typical projects or analyses might a Baseball Operations Analyst be responsible for during a season?

As a Baseball Operations Analyst, you can expect to work on a variety of data-driven projects throughout the season, such as player performance analysis, opponent scouting reports, and in-game strategy recommendations. You may be tasked with developing statistical models, preparing data visualizations, and collaborating with coaches, scouts, and front office staff to inform roster decisions. The role often involves responding to time-sensitive requests and communicating complex findings in an accessible way, making adaptability and strong analytical skills essential.

What is the difference between Baseball Operations Analyst vs Baseball Data Analyst?

AspectBaseball Operations AnalystBaseball Data Analyst
Required CredentialsBachelor's in Sports Management, Statistics, or related field; knowledge of baseball analytics toolsBachelor's in Statistics, Data Science, or related; proficiency in data analysis software
Work EnvironmentTeam offices, stadiums, analytics departmentsData-focused roles within teams or analytics firms, often in office settings
Employer & Industry UsageMajor league teams, sports organizationsTeams, sports analytics companies, media outlets
Common Search & ComparisonYesYes

The Baseball Operations Analyst and Baseball Data Analyst roles share similarities in required skills and industry environment, focusing on baseball analytics. However, Baseball Operations Analysts often have broader responsibilities including strategic planning and player evaluation, while Baseball Data Analysts primarily focus on data collection, analysis, and reporting. Both roles are essential in modern baseball organizations and frequently searched together by industry professionals and job seekers.

How much do baseball ops make?

Baseball operations analysts typically earn between $50,000 and $100,000 annually, depending on experience, team size, and location. Entry-level positions may start lower, while experienced analysts or those in major markets can earn higher salaries, often supplemented with bonuses and benefits.

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

To thrive as a Baseball Operations Analyst, you need strong quantitative analysis skills, a background in statistics or data science, and a solid understanding of baseball, often supported by a relevant degree. Familiarity with statistical software (such as R or Python), databases (like SQL), and baseball analytics platforms is typically required. Attention to detail, problem-solving ability, and effective communication are vital soft skills for presenting insights to coaches and executives. These competencies are crucial for making data-driven decisions that enhance team performance and strategic planning.
More about Baseball Operations Analyst jobs
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Who are the top companies hiring for Baseball Operations Analyst jobs? The top employers for Baseball Operations Analyst jobs are:
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What job categories do people searching Baseball Operations Analyst jobs look for? The top searched job categories for Baseball Operations Analyst jobs are:
Baseball Operations Analyst jobs near you
Infographic showing various Baseball Operations Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $70,210 per year, or $33.8 per hour.
Data Engineer, League Analytics & Infrastructure

Data Engineer, League Analytics & Infrastructure

Major League Baseball

New York, NY • On-site

$115K - $140K/yr

Full-time

Life, Retirement, PTO

Posted 19 days ago

Job description

Major League Baseball is scaling the data platform that powers America's pastime - and we need a builder to help us do it. The League Analytics & Infrastructure (LAI) team operates the cloud foundation behind every analytics decision at MLB from Statcast player-tracking pipelines processing millions of pitch-level events to the baseball operations data that informs decisions for 30 Clubs and the Commissioner's Office.
We are continuing a multi-year evolution of our GCP-native lakehouse - building out our dbt transformation layer, hardening our Airflow orchestration, and pushing more of our infrastructure into code. You will be a core contributor to that build. The systems you create will be the backbone of analytics products used across the league, and your work will be visible to engineers, analysts, and decision-makers at every level of the organization.
This is a hands-on data engineering role focused on execution. Reporting to the Manager of BI Data Engineering, you'll join a small, high-performing team within LAI that values careful craftsmanship, rolls up its sleeves, and treats data as a product rather than a byproduct. You'll work upstream of our analytics engineers and analysts - designing the pipelines, models, and infrastructure they rely on every day. We are looking for someone with production experience who can hit the ground running, but also someone who's hungry to grow into the next level. "Delivering" is the aim of the game: shipping reliable pipelines, optimizing data models for the analysts and engineers downstream, and making the platform a little better with every pull request. Beyond that, we want someone who reads the codebase critically, asks why something was built a certain way, and brings ideas - about tooling, architecture, or process - that push the team forward. The standards are high, the autonomy is real, and the work is visible across the league.
Responsibilities
  • Build production-grade pipelines using Airflow and dbt to orchestrate batch and streaming transformations across GCP, so that downstream analysts and engineers can trust the data they query without checking the wiring
  • Architect clean, layered data models (staging intermediate mart) that serve as the single source of truth for league analytics, applying dbt best practices for materialization, testing, and documentation
  • Operate the ingestion layer using Pub/Sub, GCS, Dataflow, and Knowledge Catalog DataPlex) to land both batch and streaming sources cleanly into the lakehouse
  • Implement observability and monitoring standards so that data quality issues surface before stakeholders notice them, not after
  • Manage code through GitHub-based CI/CD, contributing to the deployment workflows that keep our platform reliable and our changes safe
  • Adhere to data governance practices that keep proprietary baseball data secure and compliant

Qualifications & Skills
  • 2-4 years of production data engineering experience
  • Expert-level SQL - comfortable writing complex freehand queries (sub-queries, nested logic, window functions) and reading someone else's to spot issues
  • Strong Python for data processing, scripting, and automation
  • Hands-on dbt experience - you've built models across staging, intermediate, and mart layers, written tests, and shipped to production
  • Production Airflow experience - DAG authoring, dependency management, debugging failed runs
  • Deep familiarity with Google Cloud Platform (BigQuery, GCS, Pub/Sub) or equivalent depth in AWS/Azure with willingness to convert
  • Git-based development workflows - branches, PRs, code review as a daily practice
  • You communicate clearly with both engineers and non-engineers, take feedback well, and give it kindly
  • Execution mindset. You can own a project from requirements to deployment with minimal oversight.

Nice-to-Have
  • A degree in Computer Science, Engineering, or a related field - or non-traditional background with equivalent practical experience
  • Experience with Terraform or other Infrastructure-as-Code tools
  • Experience with AI-assisted development or enterprise AI tooling (Gemini Enterprise, Vertex AI). We're early but ambitious - we see AI as a lever for engineering efficiency
  • A passion for baseball, or prior experience in sports, media, or entertainment
  • Ability to build creative solutions for unusual problems

Salary Range: $115,000 - $140,000 (Base Salary) + Bonus
As a candidate for this position, your salary and related aspects of compensation will be contingent upon your work experience, education, skills, and any other factors MLB considers relevant to the hiring decision. In addition to your salary, MLB believes in providing a competitive compensation and benefits package for its employees.
Top MLB Perks & Benefits:
  • Competitive Benefits Package
  • Company Contributed 401K Plan
  • Paid Time Off and Holidays
  • Paid Parental Leave
  • Access to Free Tickets to Baseball Games & MLB.TV
  • Discounts at MLB Store | MLBShop.com
  • Employee Assistance Programs (EAP)
  • Onsite/Online Training & Development Programs
  • Tuition Reimbursement
  • Disability Benefits (short term and long term)
  • Life and Accidental Death Insurance
  • Pet Insurance

Why MLB?
Major League Baseball (MLB) is the most historic of the major professional sports leagues in the United States and Canada. Employees love working at MLB because of the culture of growth, teamwork, and professionalism. Employees who are most successful at MLB take initiative, know how to identify problems and provide solutions, and always put the Team first. For those ready to step up to the plate and join the major leagues, MLB takes the same approach as teams do with their players: empowering our "workforce athletes" to be at their best by engineering experiences that put employees in the best position to succeed. Major League Baseball is looking for candidates who are passionate about growing America's pastime to best serve its fans for decades to come.
California Residents: Please see our California Recruitment Privacy Policy for more details.
Colorado Residents: Colorado based applicants may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Applicants requiring a reasonable accommodation for any part of the application and hiring process, please email us at accommodations@mlb.com. Requests received for non-disability related issues, such as following up on an application, will not receive a response.
Are you ready to Step Up to the Plate? Apply below!

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