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Baseball Data Analytics Jobs in Pennsylvania (NOW HIRING)

Worky

Software Developer

South Williamsport, PA · On-site

$90 - $110/hr

... of youth baseball and softball to teach life lessons that build stronger individuals and ... Build reports, dashboards, and data analysis tools. * Troubleshoot technical issues and support ...

Hearst

Account Executive

Lancaster, PA · On-site

... NBA, Major League Baseball, Winter and Summer Olympics, and much more! You'll also be on the ... Communication and Analysis Skills : Ability to articulate ideas and evaluate information ...

Hearst

Account Executive

Lancaster, PA · On-site

... NBA, Major League Baseball, Winter and Summer Olympics, and much more! You'll also be on the ... Communication and Analysis Skills : Ability to articulate ideas and evaluate information ...

Hearst

Account Executive

Lancaster, PA

... NBA, Major League Baseball, Winter and Summer Olympics, and much more! You'll also be on the ... Communication and Analysis Skills : Ability to articulate ideas and evaluate information ...

Hearst Newspapers

Account Executive

Lancaster, PA

... NBA, Major League Baseball, Winter and Summer Olympics, and much more! You'll also be on the ... Communication and Analysis Skills : Ability to articulate ideas and evaluate information ...

Hearst Newspapers

Account Executive

Lancaster, PA

... NBA, Major League Baseball, Winter and Summer Olympics, and much more! You'll also be on the ... Communication and Analysis Skills : Ability to articulate ideas and evaluate information ...

Hearst Television

Account Executive

Lancaster, PA · On-site

... NBA, Major League Baseball, Winter and Summer Olympics, and much more! You'll also be on the ... Communication and Analysis Skills : Ability to articulate ideas and evaluate information ...

Hearst Television

Account Executive

Lancaster, PA

... NBA, Major League Baseball, Winter and Summer Olympics, and much more! You'll also be on the ... Communication and Analysis Skills : Ability to articulate ideas and evaluate information ...

Hearst

Account Executive

Lancaster, PA · On-site

... NBA, Major League Baseball, Winter and Summer Olympics, and much more! You'll also be on the ... Communication and Analysis Skills : Ability to articulate ideas and evaluate information ...

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All JobsBaseball Data Analytics JobsBaseball Data Analytics Jobs in Pennsylvania

Baseball Data Analytics information

See Pennsylvania salary details

$33.1K

$81.7K

$140.3K

How much do baseball data analytics jobs pay per year?

As of Aug 27, 2026, the average yearly pay for baseball data analytics in Pennsylvania is $81,714.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,600.00 and $96,700.00 per year, depending on experience, location, and employer.

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.

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 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.

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 roles can earn higher salaries, often supplemented with bonuses or benefits. Skills in statistical software, programming, and sports analytics are valuable in this field.

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.

What are the most commonly searched types of Baseball Data Analytics jobs in Pennsylvania?

The most popular types of Baseball Data Analytics jobs in Pennsylvania are:

What are popular job titles related to Baseball Data Analytics jobs in Pennsylvania?

For Baseball Data Analytics jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Baseball Data Analytics jobs in Pennsylvania look for?

The top searched job categories for Baseball Data Analytics jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Baseball Data Analytics jobs?

Cities in Pennsylvania with the most Baseball Data Analytics job openings:

Baseball Data Analytics jobs near you
Infographic showing various Baseball Data Analytics job openings in Pennsylvania as of August 2026, with employment types broken down into 72% Full Time, and 28% Part Time. Highlights an 100% In-person job distribution, with an average salary of $81,714 per year, or $39.3 per hour.

Quantitative Analyst Associate (2027)

Philadelphia Phillies - Baseball Operations

Philadelphia, PA • On-site

Part-time

Posted 17 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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