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Baseball Data Analyst Jobs in Massachusetts (NOW HIRING)

Tiger Group

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Financial Analyst

Boston, MA · On-site

$75K/yr

Position Overview As a Financial Analyst, you will play a key role in preparing accurate, data ... Tiger's valuation experience spans virtually all products and industries, from baseball bats to ...

FRANKLIN SPORTS INC

Demand Planning Analyst

Stoughton, MA · On-site

$70K - $84K/yr

We are proud of our partnerships with Major League Baseball, Major League Soccer, the National ... Identify system improvements, automation opportunities, and data quality issues * Collaborate with ...

Tiger Group

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Valuation Director

Boston, MA · On-site

$149K - $165K/yr

... Analysis & Strategy: Utilize market research and Company-provided data to develop a deep ... Tiger's valuation experience spans virtually all products and industries, from baseball bats to ...

Tiger Group

Be Seen First

Valuation Director

Boston, MA · On-site

$149K - $165K/yr

... Analysis & Strategy: Utilize market research and Company-provided data to develop a deep ... Tiger's valuation experience spans virtually all products and industries, from baseball bats to ...

Hampton Farms

Forklift Operator

Springfield, MA · On-site

$20/hr

You can find our product in most grocery stores and major league baseball stadiums. We distribute ... Analytical - Synthesizes complex or diverse information; collects and researches data; uses ...

Hampton Farms

Forklift Operator

Springfield, MA · On-site

$20/hr

You can find our product in most grocery stores and major league baseball stadiums. We distribute ... Analytical - Synthesizes complex or diverse information; collects and researches data; uses ...

Trinityhealth

$1.9K/mo

Ordering and interpreting laboratory data and plain x-ray film as appropriate. * Writing ... Clinical knowledge, current clinical competences, and analytical abilities necessary to formulate ...

Trinity Health

$1.9K/mo

Ordering and interpreting laboratory data and plain x-ray film as appropriate. * Writing ... Clinical knowledge, current clinical competences, and analytical abilities necessary to formulate ...

All JobsBaseball Data Analyst JobsBaseball Data Analyst Jobs in Massachusetts

Baseball Data Analyst information

See Massachusetts salary details

$37.1K

$90.3K

$148.5K

How much do baseball data analyst jobs pay per year?

As of Aug 26, 2026, the average yearly pay for baseball data analyst in Massachusetts is $90,253.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $105,900.00 per year, depending on experience, location, and employer.

What is a baseball data analyst?

A Baseball Data Analyst is a professional who uses statistical methods and data modeling to evaluate player performance, team strategies, and game outcomes in baseball. They collect and analyze data from games, practices, and scouting reports to provide insights that can help teams make informed decisions. Their work might include creating predictive models, visualizing trends, and presenting findings to coaches, managers, or front office staff. Baseball Data Analysts play a key role in player recruitment, development, and in-game strategy. They typically have a background in statistics, mathematics, or computer science, often paired with a deep understanding of baseball.

What does a baseball data analyst do?

As a baseball data analyst, your primary responsibilities are to gather baseball statistics, provide analysis, and report the results to understand frameworks for players and develop a model. Your duties may involve using advanced statistical methods, completing data mining, designing and testing predictive models, creating tools, integrating data, and executing SQL databases. You work with sabermetrics and other analytical software to evaluate the performance of players during games throughout the season and interpret that information to assist teams with player decisions. Baseball data analysts work for the MLB as well as collegiate teams.

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

To thrive as a Baseball Data Analyst, you need strong quantitative analysis skills, a background in statistics or mathematics, and a solid understanding of baseball fundamentals. Proficiency with data analysis tools such as R, Python, SQL, and experience using baseball-specific data platforms like TrackMan or Statcast are typically required. Exceptional attention to detail, effective communication, and the ability to work collaboratively with coaches and players make someone stand out in this role. These skills and qualities are crucial for accurately interpreting data, informing strategic decisions, and maximizing team performance.

How does a baseball data analyst typically collaborate with coaches and players to improve team performance?

Baseball Data Analysts work closely with coaches and players by translating complex data into actionable insights that can impact game strategy and player development. They often present statistical findings in clear, visual formats to help coaches make informed decisions about lineups, defensive positioning, and in-game tactics. Regular meetings and open communication ensure that data-driven recommendations are understood and integrated into training sessions and game plans. This collaboration fosters a culture of continuous improvement and innovation within the team.
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Baseball Data Analyst jobs near you
Infographic showing various Baseball Data Analyst job openings in Massachusetts as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $90,253 per year, or $43.4 per hour.

Data Scientist, Baseball Analytics

Boston Red Sox

Boston, MA

$75K - $100K/yr

Full-time

Medical, Retirement, PTO

Re-posted 26 days ago

Job description

DEPARTMENT OVERVIEW:  

Baseball Analytics is the quantitative research and data science group within Baseball Operations. We develop statistical models, machine learning algorithms, and analytical tools that support decision-making across Baseball Operations including player acquisition, player development, and player optimization. Core responsibilities include predictive modeling, applied research, experimentation, and communicating technical findings to inform baseball decisions. 

POSITION OVERVIEW: 

The Boston Red Sox seek a Data Scientist for the club’s Baseball Analytics department to develop, evaluate, and optimize predictive models that enhance decision-making across all aspects of Baseball Operations. Operating in a dynamic and intellectually stimulating environment, the Data Scientist will collaborate closely with the Baseball Analytics team and other Baseball Operations stakeholders to influence player personnel decisions and strategic initiatives. This role offers a unique opportunity to apply advanced statistical techniques and data science to shape the team's future direction. 

The successful candidate will possess strong analytical skills, a deep understanding of baseball, and the ability to communicate technical concepts to non-technical audiences effectively. The specific role, level, and compensation package will be tailored to the selected candidate's qualifications and experience. Applications are encouraged from individuals with varying levels of expertise in the field. 

The salary range for this position is $75,000–$100,000, based on relevant experience and internal equity. Our full-time employees also receive a comprehensive benefits package, including healthcare, retirement plans, paid time off, and more. 

RESPONSIBILITIES:
  • Design and maintain robust predictive models and data pipelines to generate insights for player evaluation, acquisition, development, and performance optimization. 
  • Craft compelling written reports and data visualizations to effectively communicate complex analyses to diverse audiences, including both technical specialists and Baseball Operations leadership. 
  • Partner with the Baseball Systems team to seamlessly integrate new analytical findings into team applications and proactively identify and address data quality issues.  
  • Continuously monitor and evaluate cutting-edge analytics and research from public and academic spaces to recommend innovative ideas, methodologies, and technologies that can enhance on-field performance.  
COMPETENCIES
  • Understanding of modern statistical and machine learning methods and an advanced proficiency with popular data science languages and libraries.
  • Practical understanding of how to approach research questions to drive actionable insights.  
  • Able to visualize, present and disseminate analyses to a diverse group of stakeholders (leadership, coaches, players, scouts, etc.) in a clean, intuitive, and engaging way. 
ADDITIONAL QUALIFICATIONS:
  • PhD or master's degree in a quantitative field (such as statistics, engineering, applied mathematics, physics, quantitative social sciences, computer science, computer vision, or operations research) or equivalent professional experience.
  • Proficiency in SQL and programming languages such as R or Python.
  • A passion for baseball and a strong desire to contribute to building a championship-winning team. 
In addition to the above requirements, all roles within Baseball Operations are expected to effectively demonstrate our universal competencies related to problem solving, teamwork, clarity of communication, and time management, along with embodying our culture of honesty, humility, relentlessness, and commitment to DEIB.
At the Boston Red Sox we go beyond embracing diversity. We’re committed to living by our values, strengthening our community, and creating a workplace where people genuinely feel like they belong. 
 
Too often, job seekers don’t apply to positions because they don’t meet every qualification. If you love this role and are great at what you do, we encourage you to apply. Your unique skills and experiences might just be what we’ve been looking for.
 
Prospective employees will receive consideration without discrimination based on race, religious creed, color, sex, age, national origin, handicap, disability, military/veteran status, ancestry, sexual orientation, gender identity/expression or protected genetic information.