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Volunteer Sports Analytics Jobs (NOW HIRING)

Sports Medicine Physician

Sacramento, CA · On-site

$243K - $343K/yr

... analysis, and other forms of translational research. About Shriners Children's Northern California ... Voluntary Benefits: Long Term Disability Insurance, Critical Illness/Accident Insurance, hospital ...

Sports Medicine Physician

Sacramento, CA · On-site

$243K - $343K/yr

... analysis, and other forms of translational research. About Shriners Children's Northern California ... Voluntary Benefits: Long Term Disability Insurance, Critical Illness/Accident Insurance, hospital ...

Sports Medicine Physician

Sacramento, CA · On-site

$243K - $343K/yr

... analysis, and other forms of translational research. About Shriners Children's Northern California ... Voluntary Benefits: Long Term Disability Insurance, Critical Illness/Accident Insurance, hospital ...

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Volunteer Sports Analytics information

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$8

$19

$33

How much do volunteer sports analytics jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for volunteer sports analytics in the United States is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.19 per hour, depending on experience, location, and employer.

What can I do with a sports analytics degree?

A sports analytics degree prepares individuals for roles such as sports analyst, data analyst, or performance analyst within sports teams, leagues, or media organizations. Graduates can work with statistical software, data visualization tools, and advanced metrics to evaluate athlete performance, team strategies, and game outcomes. These roles often require strong analytical skills, knowledge of sports, and proficiency in programming languages like R or Python.

What is a Volunteer Sports Analytics job?

A Volunteer Sports Analytics job involves analyzing sports data to provide insights that help teams, coaches, or organizations make informed decisions. Volunteers typically work with statistics, game footage, and performance metrics to identify trends and strategies. The role may include tasks such as data collection, performance tracking, and creating reports. It is an opportunity to gain hands-on experience in sports analytics without formal employment. Many use this role to develop skills and build connections in the sports industry.

How to get involved in sports analytics?

To get involved in sports analytics as a professional, develop skills in statistics, data analysis, and programming languages like Python or R. Gaining experience through internships, certifications, or projects with sports data can improve your prospects, and familiarity with sports-specific metrics and tools is beneficial.

What types of projects or analyses might I work on as a Volunteer Sports Analytics professional?

As a Volunteer Sports Analytics team member, you might contribute to a variety of projects such as collecting and analyzing player performance data, developing reports on team trends, or creating visualizations to support training decisions. Frequently, you’ll collaborate closely with coaches, scouts, and other data analysts to translate raw numbers into actionable insights. Your weekly responsibilities may include updating databases, preparing presentations, or assisting during game days with live data capture and analysis. This hands-on experience is not only rewarding, but also an excellent stepping stone for those interested in careers in sports analytics or data science.

What are the key skills and qualifications needed to thrive in the Volunteer Sports Analytics position, and why are they important?

To thrive as a Volunteer Sports Analytics professional, you need a solid understanding of sports statistics, data analysis, and usually a background in mathematics, statistics, or a related field. Familiarity with analytical tools such as Microsoft Excel, R, Python, and sports-specific data platforms is often advantageous. Strong attention to detail, excellent communication skills, and the ability to work collaboratively within a team are important soft skills. These skills enable you to provide valuable insights to coaches and teams, supporting strategy and decision-making in a dynamic sports environment.

Will sports analytics be taken over by AI?

Sports analytics professionals use AI and machine learning tools to analyze player performance, game strategies, and injury risks. While AI automates data processing and enhances insights, human expertise remains essential for interpreting results and making strategic decisions in sports analytics roles.

How to get a job in sports analytics with no experience?

To get a job in sports analytics with no experience, focus on building relevant skills such as data analysis, statistics, and programming using tools like Excel, SQL, or Python. Gaining practical experience through internships, volunteering, or personal projects analyzing sports data can also improve your chances. Demonstrating a strong understanding of sports and analytics concepts is essential for entry-level roles.
More about Volunteer Sports Analytics jobs
What cities are hiring for Volunteer Sports Analytics jobs? Cities with the most Volunteer Sports Analytics job openings:
What are the most commonly searched types of Sports Analytics jobs? The most popular types of Sports Analytics jobs are:
What states have the most Volunteer Sports Analytics jobs? States with the most job openings for Volunteer Sports Analytics jobs include:
What job categories do people searching Volunteer Sports Analytics jobs look for? The top searched job categories for Volunteer Sports Analytics jobs are:
Infographic showing various Volunteer Sports Analytics job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $39,804 per year, or $19.1 per hour.
Data Scientist, Innovation - Baseball Analytics

Data Scientist, Innovation - Baseball Analytics

The Chicago Cubs

Chicago, IL

$80K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

GO BEYOND THE IVY

Chicago Cubs | Marquee 360 | Marquee Development | Marquee Ventures

Each brand stands as unique as the teams that drive them. We welcome you to learn more about us.

Our business is a team sport built on creating and delivering memorable experiences around Cubs baseball and other live events. In support of that effort, we expect associates to work primarily in our office,while also enabling some flexibility.

JOB TITLE: Data Scientist, Innovation - Baseball Analytics

DEPARTMENT: R&D Baseball Operations

ORGANIZATION: Chicago Cubs

REPORTS TO: Assistant Director, Baseball Analytics

LOCATION: Chicago, IL

FLSA STATUS: Exempt

COMPENSATION: $80,000 - $150,000 USD

BEING PART OF THE TEAM

Our business is a team sport that began on a field with baseballs and bats and has evolved into one of the most recognizable brands in sports and entertainment through Cubs baseball and live events. Our success is driven by our people, who work to create and inspire change in an engaging, collaborative and inclusive environment. As a team, we continue to build a culture on and off the field that delivers unforgettable experiences for one another, our fans and community. In support of that effort, we expect associates to work primarily in our office. Are you ready to be part of it?

OUR STORY

The Chicago Cubs franchise, a charter member of Major League Baseball's National League since 1876, has won the National League pennant 17 times and was the first team to win back-to-back World Series titles in the 1907 and 1908 seasons. In 2016, the Chicago Cubs made history again when the team won its first World Series in 108 years, ending the longest championship drought in North American sports. Known for its ivy-covered outfield walls, hand-operated scoreboard and famous Marquee, iconic Wrigley Field has been the home of the Chicago Cubs since 1916 and is the second oldest ballpark in Major League Baseball. In 2009, the Ricketts family assumed ownership of the Chicago Cubs and established three main goals for the organization: Win the World Series, Preserve and Improve Wrigley Field, and Be a Good Neighbor.

HOW YOU'LL CONTRIBUTE

The Chicago Cubs are seeking a Data Scientist, Innovation within Baseball Analytics focused on advancing analytics, modeling, and applied research across Baseball Operations. This role will focus on developing cutting-edge machine learning models, exploring novel analytical approaches, and translating complex baseball data into actionable insights.

This position emphasizes innovation in modeling, experimentation, and analytical rigor. The ideal candidate thrives in research-driven environments, pushing the boundaries of predictive modeling, simulation, and multimodal data analysis to improve player evaluation, player development, and performance analysis.

THE DAY-TO-DAY:

Machine Learning & Advanced Modeling

  • Develop and evaluate machine learning and statistical models for player evaluation and performance analysis
  • Design and implement time-series, probabilistic, and simulation-based models
  • Apply modern deep learning techniques (e.g., attention models, multimodal learning)
  • Explore and apply generative modeling approaches beyond LLMs

Analytics Innovation

  • Conduct research into new modeling techniques and analytical frameworks
  • Prototype and experiment with novel approaches to improve predictive performance
  • Translate complex datasets (tracking, video, sensor data) into structured insights

Research & Thought Leadership

  • Stay current with advancements in AI, machine learning, and sports analytics
  • Serve as a subject matter expert on modeling approaches and statistical methods
  • Partner with stakeholders to identify high-impact analytical opportunities

WHAT YOU'LL BRING:

  • Strong experience with machine learning frameworks (PyTorch, TensorFlow, etc.)
  • Deep understanding of statistical modeling and data science workflows
  • Experience working with complex and high-dimensional datasets
  • Proficiency in Python, SQL, and version control

WHAT SETS YOU APART:

  • 5+ years in machine learning, data science, or applied research
  • Experience with multimodal data (video, tracking, sensor data)
  • Background in sports analytics, preferably baseball
  • Experience with simulation or probabilistic modeling frameworks

TOTAL REWARDS:

  • On-site parking

  • Transit benefits

  • Paid time off: Personal, Sick, Vacation Time, Office Holidays & Winter Break

  • Flexible work arrangement

  • Casual work attire environment

  • Complimentary Meal & beverage plan

  • Cubs home game & spring training game ticket allotment

  • Access to campus wide Wrigley Field events & pre-sales

  • 401K Plan Employee Contribution & Employer Match

  • Benefit Plans: Medical, Dental, Vision & Life Insurance

  • Health & Wellness engagement & programming

  • Variety of associate special events, volunteer opportunities and partnership discounts

  • Tuition Reimbursement

  • Free access to EV charging stations

* This job posting includes the anticipated compensation, which reflects the hourly rate or salary range the Chicago Cubs and its affiliates are considering for this role in the specified location(s) as of the posting date. Where anticipated compensation is a salary range, the actual base salary offered within that range will be reflective of the candidate's skills and experience.

The Chicago Cubs and its affiliates embrace diversity and are committed to building a team that represents all communities. We hold ourselves accountable to include new and different voices in our organization. Everyone is welcome here, and we celebrate what makes each of us unique.

Response Expectations:

Due to the overwhelming number of applications we receive, we unfortunately may not be able to respond in person to each applicant. However, we can assure you that you will receive an email confirmation when you apply as well as additional email notifications whether you are selected to move forward for the position or not. Please note, we keep all resumes on file and will contact you should we wish to schedule an interview with you.

The Chicago Cubs and its affiliates are an Equal Opportunity Employer committed to inclusion and employing a diverse workforce. All applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, or other legally protected characteristics.