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Executive Baseball Analyst Jobs (NOW HIRING)

KitchFix

Executive Chef

Arlington, TX · On-site

$64K - $88K/yr

Join the Culinary Team Behind Major and Minor League Baseball Organizations. We're hiring an ... Analytical . You can gather information from various sources and interpret the data to reach a ...

KitchFix

Executive Chef

Arlington, TX

$64K - $88K/yr

Join the Culinary Team Behind Major and Minor League Baseball Organizations. We're hiring an ... Analytical . You can gather information from various sources and interpret the data to reach a ...

Arizona Athletic Grounds

FP&A Analyst

Mesa, AZ · On-site

... baseball/softball diamonds, hosting professional soccer, top-tier basketball and volleyball ... Strong PowerPoint skills for executive-level communication and presentation development.

Arizona Athletic Grounds

FP&A Analyst

Arizona City, AZ · On-site

$75 - $105/hr

... baseball/softball diamonds, hosting professional soccer, top-tier basketball and volleyball ... executive leadership alike. KEY Responsibilities AI-Enabled Reporting & Data Infrastructure

Teamwass

Coordinator, Baseball Operations

New York, NY · On-site

$60K - $70K/yr

Provide high-level executive administrative support including organizing, scheduling, and ... Manage and support planning, execution, and analysis/recaps of ongoing talent partnerships.

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How much do executive baseball analyst jobs pay per year?

As of Aug 27, 2026, the average yearly pay for executive baseball analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

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

AspectExecutive Baseball AnalystBaseball Operations Analyst
CredentialsBachelor's degree in sports management, statistics, or related field; advanced analytics certificationsBachelor's degree in sports management, statistics, or related field; analytics certifications
Work EnvironmentStrategic planning, high-level decision making, often in front officesData analysis, scouting, player evaluation, on-field support
Employer & Industry UsageMajor league teams, front office leadershipTeam front offices, scouting departments, analytics teams

The Executive Baseball Analyst typically focuses on high-level strategic insights and decision-making within a team's front office, often working closely with executives. In contrast, a Baseball Operations Analyst is more involved in data analysis, scouting, and player evaluation to support team performance. Both roles require strong analytical skills and industry knowledge, but they differ in scope and responsibilities.

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Executive Baseball Analyst jobs near you
Infographic showing various Executive Baseball Analyst job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

Quantitative Analyst Associate (2027)

Philadelphia, PA • On-site

Philadelphia Phillies - Baseball Operations
See more jobs at Philadelphia Phillies - Baseball Operationsexternal

Part-time

Posted 18 days ago

Job description

Title: Quantitative Analyst Associate
Department: Baseball Research & Development
Reports to: Lead/Senior Quantitative Analyst
Status: Hourly Part-Time Seasonal
Position Overview:
As a Quantitative Analyst (QA) Associate, you help shape The Phillies Baseball Operations strategies by processing, analyzing, and interpreting large and complex data. You do more than just crunch the numbers; you carefully plan the design of your own studies by asking and answering the right questions, while also working collaboratively with other analysts and software engineers on larger projects.
Using analytical rigor, you work with your team as you mine through data and see opportunities for The Phillies to improve. After communicating the results of your studies and experiments to Baseball Operations leadership and executive staff, you collaborate with front office executives, scouts, coaches, and trainers to incorporate your findings into Phillies practices. Identifying the challenge is only half the job; you also work to figure out and implement the solution.
Responsibilities:
  • Conduct statistical research projects and manage the integration of their outputs into our proprietary tools and applications (e.g., performance projections, player valuations, draft assessments, injury analyses, etc.)
  • Communicate with front office executives, scouts, coaches, and medical staff to design and interpret statistical studies
  • Assist the rest of the QA team with their projects by providing guidance and feedback on your areas of expertise within baseball, statistics, data visualization, and programming
  • Continually enhance your knowledge of baseball and data science through reading, research, and discussion with your teammates and the rest of the front office
  • Provide input to database architecture to ensure efficient application of baseball data

Required Qualifications:
  • Deep understanding of statistics, including supervised and unsupervised learning, regularization, model assessment and selection, model inference and averaging, ensemble methods, etc.
  • Meaningful experience programming, using analytical software (Python, R, or similar), and interacting with databases
  • Proven willingness to both teach others and learn new techniques
  • Willingness to work as part of a team on complex projects
  • Proven leadership and self-direction

Preferred Qualifications:
  • Possess or are pursuing a BS, MS or PhD in Statistics or related (e.g., mathematics, physics, or ops research) or equivalent practical experience
  • 0-5+ years of relevant work experience
  • Experience drawing conclusions from data, communicating those conclusions to decision makers, and recommending actions

To be considered, all candidates must submit a response for the prompt below:
In player evaluation, some metrics are highly predictive of future performance but provide limited information about why a player will succeed or fail. Other metrics may be less predictive on their own but can help identify specific strengths, weaknesses, or opportunities for improvement.
Assume you have access to several years of professional baseball data, including traditional statistics, pitch- or play-level tracking data, scouting evaluations, player demographics, injury history, and minor-league level and park context.
In 250 words or less, describe how you would determine which information should be included in a player projection model and which information should instead be used primarily to explain, diagnose, or contextualize the projection. Discuss how you would evaluate a metric that improves historical model accuracy but may not remain stable over time, may duplicate information contained in other variables, or may be difficult to obtain consistently for all players.
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

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