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Sports Data Operator Jobs (NOW HIRING)

Fanatics Collectibles

Data Scientist

Los Angeles, CA · On-site

Backed by world-class investors, operators, and sports & entertainment partners, we are building ... Role Summary As a Data Scientist, you will support the development of analytical models ...

YMCA

Youth Sports Director

Everett, WA · On-site

$80K - $84K/yr

... operating plans Secures and schedules athletic fields and facilities Transports and sets up ... data, information and documents; analyze and solve non-routine and complex problems; may use math ...

Fanatics Collectibles

Data Scientist

Los Angeles, CA · On-site

Backed by world-class investors, operators, and sports & entertainment partners, we are building ... Role Summary As a Data Scientist, you will support the development of analytical models ...

RightsHelper

Data Scientist

$95K - $110K/yr

Our team includes operators, data scientists, and engineers who have worked inside professional sports organizations and understand the complexity of managing ticketing businesses at scale. We ...

FanDuel

Data Scientist

Jersey City, NJ · On-site

$116K - $152K/yr

Throughout the lifecycle of a model, from data collection through results, you will create ... largest sports betting and gaming operator with a portfolio of globally recognized brands and ...

DanceBUG Inc.

Sports Videographer

Fort Lauderdale, FL · On-site

$150 - $400/day

Sports (Dance) Videographer / Camera Operator Duration: February - June 2026 Location: Nationwide ... Handle data transfers (FTP/shipping) after events * Travel nationwide by car or plane to assigned ...

DanceBUG Inc.

Sports Videographer

Orlando, FL · On-site

$150 - $400/day

Sports (Dance) Videographer / Camera Operator Duration: February - June 2026 Location: Nationwide ... Handle data transfers (FTP/shipping) after events * Travel nationwide by car or plane to assigned ...

DanceBUG Inc.

Sports Videographer

Philadelphia, PA · On-site

Sports (Dance) Videographer / Camera Operator Duration: February - June 2026 Location: Nationwide ... Handle data transfers (FTP/shipping) after events * Travel nationwide by car or plane to assigned ...

DanceBUG Inc.

Sports Videographer

Boston, MA · On-site

$150 - $400/day

Sports (Dance) Videographer / Camera Operator Duration: February - June 2026 Location: Nationwide ... Handle data transfers (FTP/shipping) after events * Travel nationwide by car or plane to assigned ...

DanceBUG Inc.

Sports Videographer

Orlando, FL · On-site

Sports (Dance) Videographer / Camera Operator Duration: February - June 2026 Location: Nationwide ... Handle data transfers (FTP/shipping) after events * Travel nationwide by car or plane to assigned ...

DanceBUG Inc.

Sports Videographer

Fort Lauderdale, FL · On-site

Sports (Dance) Videographer / Camera Operator Duration: February - June 2026 Location: Nationwide ... Handle data transfers (FTP/shipping) after events * Travel nationwide by car or plane to assigned ...

DanceBUG Inc.

Sports Videographer

Philadelphia, PA · On-site

$150 - $400/day

Sports (Dance) Videographer / Camera Operator Duration: February - June 2026 Location: Nationwide ... Handle data transfers (FTP/shipping) after events * Travel nationwide by car or plane to assigned ...

DanceBUG Inc.

Sports Videographer

Boston, MA · On-site

Sports (Dance) Videographer / Camera Operator Duration: February - June 2026 Location: Nationwide ... Handle data transfers (FTP/shipping) after events * Travel nationwide by car or plane to assigned ...

Varsitybrands

Director, Data Engineering

Florida, NY · Remote

... SPORT and SPIRIT. Location: Remote WHAT YOU WILL DO: The Director, Data Engineering will lead the team responsible for designing, building, operating, and continuously enhancing Varsity Brands ...

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Sports Data Operator information

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How much do sports data operator jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for sports data operator in the United States is $20.80, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.39 per hour, depending on experience, location, and employer.

What does a sports data operator do?

A sports data operator is responsible for collecting, inputting, and managing sports statistics and information, often using specialized software and data entry tools. They ensure accurate and timely data updates for broadcasts, websites, or analytics, supporting sports organizations, media outlets, or betting companies.

How much do MLB data operations get paid?

MLB data operators typically earn between $30,000 and $60,000 annually, depending on experience, location, and the complexity of the data tasks. Entry-level positions may start lower, while experienced operators with specialized skills can earn higher salaries, often supplemented by bonuses or freelance opportunities.

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

As a Sports Data Operator, you need strong analytical abilities, quick and accurate data entry skills, and an understanding of sports statistics or rules, often supported by a relevant degree or prior experience in data management. Familiarity with live data capture platforms, spreadsheets, and sometimes sports analytics software is typically required. Attention to detail, teamwork, and effective communication are crucial soft skills for success in this role. These qualities ensure the fast, precise, and reliable collection and transmission of sports data, which is vital for broadcasters, betting operators, and analytics firms.

How much do sports data analysts get paid?

Sports data analysts typically earn between $45,000 and $75,000 annually, depending on experience, location, and the level of the organization. Entry-level positions may start lower, while experienced analysts working with professional teams or leagues can earn higher salaries, often supplemented by bonuses or performance incentives.

What are the most common challenges faced by Sports Data Operators during live events?

Sports Data Operators often work under significant time pressure, as they must capture and transmit data in real time while ensuring a high degree of accuracy. Rapid changes in the game, unexpected technical difficulties, or unclear on-field situations can challenge even the most experienced operators. Managing stress and maintaining concentration throughout an entire event are key to delivering reliable information. Many teams provide thorough training and support, but being prepared for fast-paced, sometimes unpredictable scenarios is essential for job success.

What kind of jobs in media bring in $150,000 a year?

In media, high-paying roles that can reach $150,000 annually include senior sports data analysts, media executives, and sports broadcasters with extensive experience. These positions often require advanced skills, industry knowledge, and sometimes certifications, and they typically involve leadership or specialized technical expertise.

What is a Sports Data Operator job?

A Sports Data Operator is responsible for collecting, processing, and verifying real-time sports data for various events. This role involves tracking live matches, inputting key statistics, and ensuring accuracy for use in broadcasts, betting platforms, and analytics. Operators must have strong attention to detail, knowledge of sports rules, and the ability to work quickly under pressure. The job may require working during live games, including evenings and weekends.

More about Sports Data Operator jobs
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What are the most commonly searched types of Sports Data Operator jobs? The most popular types of Sports Data Operator jobs are:
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Sports Data Operator jobs near you
Infographic showing various Sports Data Operator job openings in the United States as of July 2026, with employment types broken down into 8% Internship, 61% Full Time, 23% Part Time, and 8% Contract. Highlights an 100% In-person job distribution, with an average salary of $43,254 per year, or $20.8 per hour.

Data Scientist

Fanatics Collectibles

Los Angeles, CA • On-site

Full-time

Posted 14 days ago

Job description

About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
About the Team
Fanatics Collectibles is a new company operating at the intersection of collectibles, culture, and technology. Backed by world-class investors, operators, and sports & entertainment partners, we are building the global leader in next-generation collectibles. As part of the broader Fanatics ecosystem, we leverage a digital sports platform that spans over 900 sports properties and engages more than 81 million fans. Together, we are reimagining every part of the collectibles experience for fans, partners, and creators.
Role Summary
As a Data Scientist, you will support the development of analytical models, experimentation, and reporting that help improve our products and inform business decisions. Working closely with senior data scientists, product managers, engineers, and analysts, you will apply statistical methods and machine learning techniques to analyze data, uncover insights, and contribute to data-driven product improvements.
This role is ideal for someone early in their data science career who is eager to expand their technical skills while gaining experience in a fast-paced, product-focused environment.
What You'll Do
  • Partner with Product, Engineering, and Analytics teams to understand business questions and support data-driven decision making.
  • Build, validate, and maintain analytical models and data pipelines under the guidance of senior team members.
  • Perform statistical analyses and exploratory data analysis to identify trends, patterns, and opportunities.
  • Support A/B testing initiatives by assisting with experiment design, data validation, statistical analysis, and communicating results.
  • Develop dashboards and reports using tools such as Sigma or Looker to help stakeholders monitor product performance and key business metrics.
  • Write efficient SQL queries and work with cloud-based data warehouses such as Snowflake or BigQuery to prepare and analyze data.
  • Use Python or R to automate analyses and develop reproducible analytical workflows.
  • Leverage AI-assisted development tools (such as Claude or OpenAI) and engineering platforms (GitHub, Airflow) to improve productivity and collaboration.
  • Collaborate with senior data scientists to improve existing models and analytical processes while continuing to build technical expertise.
  • Clearly communicate analytical findings and recommendations to technical and non-technical stakeholders.
What You'll Need
  • Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or another quantitative field, or equivalent practical experience.
  • 1-3 years of experience in data science, analytics, or a related quantitative role.
  • Working knowledge of SQL and experience querying large datasets.
  • Proficiency in Python or R for data analysis.
  • Foundational understanding of statistics, hypothesis testing, regression analysis, and experimental design.
  • Familiarity with machine learning concepts and common libraries such as scikit-learn.
  • Strong analytical thinking, curiosity, and willingness to learn new technologies.
  • Excellent communication and collaboration skills.
Bonus Qualifications
  • Master's degree in a quantitative discipline.
  • Experience with business intelligence tools such as Sigma, Looker, or Tableau.
  • Exposure to cloud data platforms including Snowflake or BigQuery.
  • Coursework or practical experience with machine learning, forecasting, or experimentation.
  • Experience working in consumer technology, e-commerce, marketplaces, or digital products.
  • Familiarity with behavioral analytics platforms such as Mixpanel, Amplitude, or Google Analytics.

Ensure your Fanatics job offer is legitimate and don't fall victim to fraud. Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com). For added security, where possible, apply through our company website at www.fanaticsinc.com/careers
The salary range represents base pay only and does not include short-term or long-term incentive compensation. This salary range is specific to Los Angeles and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/
Los Angeles Salary Range
$122,040-$152,550 USD
The salary range represents base pay only and does not include short-term or long-term incentive compensation. This salary range is specific to New York City and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/
NYC Salary Range
$135,000-$168,750 USD
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