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Entry Level Baseball Data Analyst Jobs in Boston, MA

Bracebridge Capital

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning team. The team's primary mission is to develop machine learning systems to answer open-ended ...

Babel Street

Data Warehouse Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

This is an entry-level position perfect for a self-starter who possesses strong foundational SQL ... Partner with analysts and business stakeholders to understand their data and reporting needs ...

New

Pwc

AML/Sanctions- Data Scientist- Associate

Boston, MA · On-site

$63K - $140K/yr

They utilise advanced analytics techniques to help clients optimise their operations and achieve ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

Amaris Consulting

Senior Data Engineer

Cambridge, MA · On-site

$115K - $157K/yr

Retrieve, explore, and analyze data stored in Amazon S3 using AWS Athena and Amazon SageMaker ... entry level * A strong training system with our internal Academy and more than 250 modules ...

Lancesoft

Product Surveillance Analyst

Burlington, MA · On-site

$30 - $33/hr

... Entry-level role Will accept fresh college graduates with internship or capstone project work ... data related to product and patient information coming in from the field Must have excellent ...

The Hollister Group

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Develop predictive models and proprietary analytics from large datasets using advanced queries ... entry-level data science concepts) * Experience writing code in Python * Experience handling ...

American Income Life

Entry Level Sales

Boston, MA · Remote

$37K - $51K/yr

Role Description This is a full-time remote role for an Entry Level Growth Management position ... The role will involve day-to-day tasks such as analyzing data, implementing growth hacking ...

American Income Life

Entry Level Sales

Boston, MA · On-site +1

$40K - $54K/yr

Role Description This is a full-time remote role for an Entry Level Growth Management position ... The role will involve day-to-day tasks such as analyzing data, implementing growth hacking ...

Pwc

AIT - AI Data Scientist Senior Associate

Boston, MA · On-site

$72K - $212K/yr

In this role at PwC, you will work on exploratory and descriptive analysis, statistical modeling ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

American Income Life

Entry Level Sales Leader

Boston, MA · Remote

$37K - $51K/yr

Requirements This is a full-time remote role for an Entry Level Growth Management position ... The role will involve day-to-day tasks such as analyzing data, implementing growth hacking ...

American Income Life

Entry Level Sales Leader

Boston, MA · On-site +1

$40K - $54K/yr

Requirements This is a full-time remote role for an Entry Level Growth Management position ... The role will involve day-to-day tasks such as analyzing data, implementing growth hacking ...

The Cadmus Group, Inc.

Market Research Analyst

Boston, MA · Hybrid

$60K - $70K/yr

This is an entry-level role in which the Research Analyst will be responsible for assisting with ... Support program evaluation leads in developing high-quality data collection tools including ...

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All JobsBaseball Data Analyst JobsEntry Level Baseball Data Analyst JobsEntry Level Baseball Data Analyst Jobs in Boston, MA

Entry Level Baseball Data Analyst information

See Boston, MA salary details

$14

$35

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How much do entry level baseball data analyst jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for entry level baseball data analyst in Boston, MA is $35.77, according to ZipRecruiter salary data. Most workers in this role earn between $22.98 and $39.95 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the entry level baseball data analyst position, and why are they important?

To thrive as an Entry Level Baseball Data Analyst, you need strong analytical skills, a solid understanding of baseball statistics, and a relevant degree such as mathematics, statistics, or a related field. Familiarity with data analysis tools like SQL, R, Python, and databases, as well as experience with sports analytics platforms, is highly beneficial. Clear communication, teamwork, and attention to detail are important soft skills for translating data insights and working with coaches or scouting staff. These abilities are essential to effectively interpret data, support team decision-making, and help drive competitive strategies in a fast-paced sports environment.

What are some typical projects or tasks an entry level baseball data analyst might work on during a season?

As an Entry Level Baseball Data Analyst, you'll regularly collect and organize player performance data, prepare reports for coaches or scouts, and maintain large databases of game statistics. You may assist in analyzing trends such as player tendencies, pitch effectiveness, or opponent strategies to support game preparation and evaluate potential trades or draft picks. Collaboration with other analysts, coaches, and front office staff is common, so you'll often attend meetings to present findings and make recommendations. This role provides hands-on experience with real-time analytics and offers opportunities to contribute insights that can impact team decisions and player development.

What is an entry level baseball data analyst?

An Entry Level Baseball Data Analyst is responsible for collecting, analyzing, and interpreting baseball-related data to support decision-making in player evaluation, game strategy, and team performance. They use statistical models, databases, and programming languages like SQL, Python, or R to generate insights. This role often involves working with coaches, scouts, and front-office staff to apply data-driven recommendations. Strong analytical skills, attention to detail, and knowledge of baseball metrics are essential for success in this position.

What are the most commonly searched types of Baseball Data Analyst jobs in Boston, MA? The most popular types of Baseball Data Analyst jobs in Boston, MA are:
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Entry Level Baseball Data Analyst jobs near you
Infographic showing various Entry Level Baseball Data Analyst job openings in Boston, MA as of July 2026, with employment types broken down into 78% Full Time, 12% Part Time, and 10% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $74,405 per year, or $35.8 per hour.

Machine Learning Analyst

Bracebridge Capital

Boston, MA • On-site

$110K - $145K/yr

Full-time

Posted 29 days ago

Job description

Bracebridge Capital, LLC is a leading alternative asset manager with approximately $12 billion of net assets under management. The firm pursues investment strategies primarily within the global fixed income markets with the objectives of capital preservation and absolute return without significant correlation to equity, interest rate and foreign exchange markets. Established in 1994, Bracebridge manages private investment funds that serve endowments, foundations, pension funds and other institutional and high-net-worth investors.
Approximately 170 employees operate from our office located in Boston's historic Back Bay. The entrepreneurial and collaborative culture at Bracebridge rewards and supports motivated, dedicated, enthusiastic and intellectually curious individuals. We believe our firm's greatest asset is the people who work here.
We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning team. The team's primary mission is to develop machine learning systems to answer open-ended investment questions and support portfolio management decisions. The team works across the project lifecycle and technical stack, from ideation, understanding and analyzing data, hypothesis generation and testing, and model development all the way through to the deployment and maintenance of models and systems in production. Our work spans statistical modeling, classical machine learning, and modern AI and LLM techniques.
The Machine Learning Analyst's primary responsibility will be to contribute to these efforts alongside other team members. Over time, you will develop the technical and domain expertise needed to take increasing ownership of individual components and ultimately end-to-end projects.
The work is highly collaborative and spans quantitative research, software engineering, and machine learning. Analysts work with other members of the machine learning team and portfolio managers to translate loosely defined investment ideas into practical tools and models. Successful candidates will have solid programming foundations, be comfortable translating between qualitative and quantitative descriptions of problems and be excited to build data analysis and machine learning systems against the backdrop of portfolio management.
Since the team works closely with trading floor personnel to assist with portfolio management decision-making, an interest in economic and financial markets is essential, but no specific prior experience is necessary.
This role is open to candidates available to begin in the near term, as well as students expecting to complete their undergraduate degree between Fall 2026 and Summer 2027. Start dates will be determined based on candidate availability and, for students, degree completion.
Responsibilities:
  • Collaborate closely with Machine Learning team members, portfolio managers, and researchers to translate open-ended investment questions into well-defined analytical and machine learning problems
  • Develop and evaluate data-driven machine learning and quantitative models, including simulation- and optimization-based approaches, for investment-related problems
  • Contribute to maintaining existing models and analytic tools in production
  • Over time, take ownership of individual features and components and full projects
  • Clearly document and communicate methods, assumptions, results, and limitations of models to other researchers and trading professionals across the firm
  • Stay current with relevant new techniques and technologies in machine learning and artificial intelligence, particularly as they pertain to finance and investing

Qualifications:
  • Bachelor's degree (or equivalent) in a rigorous quantitative field
  • 0-2 years of experience through industry internships, undergraduate research or thesis, or substantial independent technical projects involving software development, data analysis, or machine learning
  • Proficiency in Python and familiarity with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn, etc), with experience in other languages a plus
  • Experience working with and analyzing data from multiple sources and in multiple formats
  • Familiarity with machine learning and statistical modeling fundamentals, including model evaluation and experimental design
  • Demonstrated ability to independently scope and execute open-ended technical projects
  • Interest in financial markets, intellectual curiosity, and comfort in working on open-ended problems
  • Strong written and verbal communication skills

Current anticipated annual base salary range: $110,000 - $145,000
Base salary within the range will be determined by various factors including but not limited to the individual's experience, skills and qualifications.

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