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Sports Data Analyst Jobs (NOW HIRING)

Sr Lead Product Manager

Fort Lauderdale, FL · On-site

$120K - $159K/yr

You will shape how real-time sports data moves from source systems into the fan experiences that ... Drive alignment across analytics, product, editorial, commercial, and operations teams to ensure ...

... sports. Moss is ranked by Engineering News-Record as the nation's top solar contractor and one of ... POSITION SCOPE AND ORGANIZATIONAL IMPACT Moss' Data Analyst for Enterprise Safety group supports ...

... sports. Moss is ranked by Engineering News-Record as the nation's top solar contractor and one of ... POSITION SCOPE AND ORGANIZATIONAL IMPACT Moss' Data Analyst for Enterprise Safety group supports ...

... sports. Moss is ranked by Engineering News-Record as the nation's top solar contractor and one of ... POSITION SCOPE AND ORGANIZATIONAL IMPACT Moss' Data Analyst for Enterprise Safety group supports ...

... and sports &?entertainment related building projects. The Role We Want You For The Quality Data Analyst will enter and analyze large quantities of data; assist in identifying patterns and key ...

... and sports &?entertainment related building projects. The Role We Want You For The Quality Data Analyst will enter and analyze large quantities of data; assist in identifying patterns and key ...

... and sports &?entertainment related building projects. The Role We Want You For The Quality Data Analyst will enter and analyze large quantities of data; assist in identifying patterns and key ...

... and sports &?entertainment related building projects. The Role We Want You For The Quality Data Analyst will enter and analyze large quantities of data; assist in identifying patterns and key ...

... and sports &?entertainment related building projects. The Role We Want You For The Quality Data Analyst will enter and analyze large quantities of data; assist in identifying patterns and key ...

... and sports &?entertainment related building projects. The Role We Want You For The Quality Data Analyst will enter and analyze large quantities of data; assist in identifying patterns and key ...

Senior Data Analyst

Stamford, CT · Hybrid

$91K - $115K/yr

As a Senior Data Analyst on Spectrum's Customer Service Reliability team you'll help shape the ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

Company Overview Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports data products. We believe that oddsmaking is a challenge rooted ...

Senior Data Analyst

Naples, NC · On-site +1

$82K - $103K/yr

You will collaborate with leading professionals in data analysis and processing, as well as in ... Join our team activities, events and sports competitions. In addition, we offer Gympass to keep you ...

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Sports Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do sports data analyst jobs pay per year?

As of Jul 3, 2026, the average yearly pay for sports data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Sports Data Analyst, and why are they important?

To thrive as a Sports Data Analyst, you need strong statistical analysis skills, a solid understanding of sports, and a relevant degree in mathematics, statistics, or data science. Proficiency in data analytics tools such as SQL, Python, R, and specialized sports analytics software is typically required. Attention to detail, critical thinking, and effective communication help analysts interpret data accurately and present insights clearly to coaches and management. These skills are crucial for transforming raw data into actionable strategies that enhance team performance and decision-making.

What are sports data analysts?

Sports data analysts are professionals who collect, process, and interpret data related to athletic performance, game strategies, and team statistics. They use statistical techniques and data visualization tools to provide insights that help coaches, teams, and organizations make informed decisions. Their work can influence player recruitment, game tactics, injury prevention, and overall team performance. Sports data analysts often work closely with coaches, scouts, and management to translate data into actionable strategies.

What is the difference between Sports Data Analyst vs Sports Statistician?

AspectSports Data AnalystSports Statistician
Required CredentialsBachelor's in Sports Management, Data Science, or related fields; proficiency in data analysis toolsBachelor's or Master's in Statistics, Mathematics, or related fields; strong statistical background
Work EnvironmentSports teams, analytics firms, media companiesResearch institutions, sports organizations, consulting firms
Employer & Industry UsageUsed for performance analysis, game strategy, and fan engagementUsed for statistical modeling, historical data analysis, and research

While both roles involve working with sports data, Sports Data Analysts focus on interpreting data for performance insights and strategic decisions, often using modern analytics tools. Sports Statisticians primarily handle statistical modeling and historical data analysis, emphasizing research and accuracy. Both roles are essential in the sports industry but serve different functions based on their focus and skill sets.

How do Sports Data Analysts typically collaborate with coaches and athletes to impact team performance?

Sports Data Analysts work closely with coaches and athletes by translating complex data into actionable insights, such as identifying player strengths, weaknesses, and trends that can influence game strategies. Analysts often attend team meetings, review performance footage, and present their findings in clear, visual formats to ensure that coaching staff and athletes can easily apply the information. This collaborative approach helps teams make data-driven decisions on player selection, training focus, and in-game tactics, ultimately aiming to enhance overall team performance.
More about Sports Data Analyst jobs
What cities are hiring for Sports Data Analyst jobs? Cities with the most Sports Data Analyst job openings:
What are the most commonly searched types of Sports Data Analyst jobs? The most popular types of Sports Data Analyst jobs are:
Who are the top companies hiring for Sports Data Analyst jobs? The top employers for Sports Data Analyst jobs are:
What states have the most Sports Data Analyst jobs? States with the most job openings for Sports Data Analyst jobs include:
Infographic showing various Sports Data Analyst job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Scientist - Risk and Trading (Daily Fantasy Sports)

Data Scientist - Risk and Trading (Daily Fantasy Sports)

Sleeper

Remote

$75K - $150K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 27 days ago


Job description

About Sleeper:
Sleeper is one of the fastest growing sports platforms in the US. As the leader in Fantasy Sports, Sleeper's product portfolio includes a variety of free-to-play Fantasy Sports and real money Daily Fantasy Sports ("DFS") games and applications. Our growing list of titles spans a diverse range of sports leagues, including the NFL, NBA/WNBA, MLB, NHL, EURO, and other soon-to-be released offerings.
We are seeking a Data Scientist with relevant DFS or Sportsbook experience to help support our risk and trading function.
Responsibilities:
  • Support risk and liability management with respect to Sleeper's DFS operations, conducting data analysis and modeling to identify trends, patterns, and insights.
  • Develop predictive models and algorithms to better understand Sleeper's real-time liability, including risk exposure related to specific markets and events.
  • Conduct data wrangling, processing and cleaning operations, and design processes, as well as tools for monitoring and analyzing performance and accuracy.
  • Monitor all pricing for real-time odds, active player statistics markets, breaking news, and other relevant information to make real-time market adjustments / suspensions, while also ensuring that data flows from external partners are being recorded timely and accurately.
  • Build out user risk profiles, staying close to behavior patterns and trends, and collaborate with product and engineering teams to enhance personalization within our DFS ecosystem.
  • Automate risk and trading processes to scale for growth in users, sports, and markets in support of all game operations, and contribute to research and innovation for this function as a whole.
    Qualifications:
  • Background in computer science, data science, machine learning, mathematics/statistics, or a similar field with related experience. Comfortable working with and analyzing large data sets.
  • In-depth knowledge of DFS, sports betting, player props, handicapping, expected value, and closing line value. Ideal candidates have extensive experience with high volumes of DFS/sports betting and real money games, either as a trader, +EV bettor, and/or oddsmaker.
  • Proactive - ready to hit the ground running; excited about the idea of building out processes from scratch, and not afraid to break the "sports trading mold", challenging how the industry has historically approached risk management and trading.
  • Comfortable working "off hours" to align with peaks in the sports calendar. This will often include nights and weekends. We are generally quite flexible and will work with you to ensure an appropriate work/life balance is molded around game schedules.
  • Knowledge of SQL, Python, and/or related software/tools, and familiarity in working with databases, data warehouses, data visualizations and report building.
  • Experience with player performance metrics, game outcome predictions, in-game event modeling, as well as working with real-time sports data feeds and APIs.

Additional Information:
We believe in fair and equitable pay. Certain locations in the United States require job postings to include a reasonable estimate of the base salary range and/or a general description of benefits and other compensation applicable to the role.
For this role, in this particular location, a reasonable estimate of the base salary range for new hires is between $75,000 USD to $150,000 USD, plus benefits including Medical, Dental, PTO, and 401k.
Please note that the salary range for this role takes into account a wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs.
The policy of Sleeper is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity. Sleeper is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by sending an email to jobs@sleeper.app.
Headquartered in Las Vegas, NV, Sleeper is backed by Silicon Valley's top investors, including Andreessen Horowitz, General Catalyst, and Expa.
To learn more, visit us online at: www.sleeper.com