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Sport Data Analyst Jobs (NOW HIRING)

Sr. Data Analyst

Orlando, FL · On-site

$80K - $101K/yr

... sports division USA Sports, along with complementary digital assets including Fandango, Rotten ... This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the ...

$130 - $160/hr

Fanatics Markets is seeking a Data Analyst III to play a critical role in scaling and optimizing ... We ignite the passions of global sports fans and maximize the presence and reach for our hundreds ...

THE POSITION Our roster has an opening with your name on it FanDuel is looking for a Data Analyst ... If you would like to play a key role in an emerging US Sports Betting market opportunity, then this ...

What We Need We're looking for a passionate Staff Data Analyst to support the Sports* Game Science & Insights team, to explore, analyze, report, and action on data from our portfolio of titles (WWE ...

THE POSITION Our roster has an opening with your name on it FanDuel is looking for a Data Analyst ... If you would like to play a key role in an emerging US Sports Betting market opportunity, then this ...

THE POSITION Our roster has an opening with your name on it FanDuel is looking for a Data Analyst ... If you would like to play a key role in an emerging US Sports Betting market opportunity, then this ...

What We Need We're looking for a passionate Staff Data Analyst to support the Sports* Game Science & Insights team, to explore, analyze, report, and action on data from our portfolio of titles (WWE ...

Staff Data Analyst

Manhattan, NY · On-site

$100 - $130/hr

... sports, culture, and current affairs. Built as a peer-to-peer marketplace with no centralized ... About the Role Polymarket is looking for a Staff Data Analyst sitting within the Revenue and ...

$55 - $75/hr

SUMMARY The Associate Data Analyst's primary duty is to leverage the Zoomph platform to assist in ... Experience in the sports industry preferred * Well versed in both technical knowledge and strategic ...

Marketplace Data Analyst

Atlanta, GA · On-site

$90 - $150/hr

... of sports, theater, and live music event tickets on behalf of artists, promoters, teams, venues ... THE POSITION The Marketplace Data Analyst will work closely with team members across Victory Live ...

... of sports, theater, and live music event tickets on behalf of artists, promoters, teams, venues ... THE POSITION The Marketplace Data Analyst will work closely with team members across Victory Live ...

... of sports, theater, and live music event tickets on behalf of artists, promoters, teams, venues ... THE POSITION The Marketplace Data Analyst will work closely with team members across Victory Live ...

The VIP Data Analyst will be accountable for the development of analytical strategy that leads to ... sports betting and more. To be successful in this team, you will: * Have experience building ...

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Game Data Analyst

Santa Clara, CA · On-site

$26 - $31/hr

Game Data Analyst Our client is a global leader in technology, known for pushing the boundaries of ... Sports, MMO Adaptability and attention to detail. Online Game Streaming experience is a plus.

Core Power ® High Protein Shakes, a sports nutrition drink to support post-workout recovery ... The Operations Data Analyst will play a critical role in advancing fairlife's data driven ...

Core Power ® High Protein Shakes, a sports nutrition drink to support post-workout recovery ... The Operations Data Analyst will play a critical role in advancing fairlife's data driven ...

Showing results 21-40

Sport Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do sport data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for sport 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 does a sport data analyst do?

As a sports data analyst, your job is to collect and monitor the statistics for an athlete, game, or team. As part of this analysis, you may use an algorithm to help predict future performance, help apply the information to business decisions, or provide stats and feedback for announcers to mention during a game. Sports data analyst roles fall into two positions. The first is the business aspect. In this version of the job, your main role is helping improve the team's performance by applying data. In the second position, you focus more on entertainment and providing data to fans who want to know more about the athletes. This is a more time-sensitive job during games, and most sports data analysts spend hours inputting and evaluating information so they can be ready to answer questions.

What are the key skills and qualifications needed to thrive as a sport data analyst?

To thrive as a Sport Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as mathematics, data science, or sports analytics. Familiarity with data analysis tools like SQL, Python, R, and sports-specific software, as well as experience with data visualization platforms, is often required. Excellent communication, attention to detail, and the ability to work collaboratively with coaches and athletes are standout soft skills. These competencies are crucial for translating complex data into actionable insights that improve team performance and strategic decision-making.

How does a sport data analyst typically collaborate with coaches and athletes to improve team performance?

Sport Data Analysts work closely with coaches and athletes to translate complex data into actionable insights that enhance performance. They often attend training sessions and matches to collect real-time data, and then meet with coaching staff to discuss trends, strengths, and areas for improvement. Effective communication is crucial, as analysts must present their findings in an understandable way that can directly inform game strategies, player development, and injury prevention. This collaborative environment fosters a cycle of continuous feedback and data-driven decision making.

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

AspectSport Data AnalystSports Statistician
Required CredentialsBachelor's in Sports Management, Data Science, or related fields; proficiency in data analysis toolsBachelor's or higher in Statistics, Mathematics, or related fields; strong analytical skills
Work EnvironmentSports teams, analytics firms, media companies, or sports organizationsResearch institutions, sports organizations, or media outlets
Employer & Industry UsageUsed for performance analysis, player evaluation, and strategic decision-makingUsed for statistical modeling, historical data analysis, and record keeping

While both roles involve analyzing sports data, Sport Data Analysts focus on applying data insights to improve team performance and strategy using advanced tools. Sports Statisticians primarily handle data collection, record-keeping, and statistical modeling. The roles often overlap but differ in their primary focus and application within the sports industry.

How much do sport data analysts get paid?

Sport data analysts typically earn between $50,000 and $80,000 annually, with salaries increasing with experience, education, and the level of the organization. Entry-level positions may start around $40,000, while senior analysts or those working for major sports teams can earn over $100,000. Skills in data analysis tools and sports statistics are highly valued in this role.

What cities are hiring for Sport Data Analyst jobs?

Cities with the most Sport Data Analyst job openings:

What are the most commonly searched types of Sport Data Analyst jobs?

The most popular types of Sport Data Analyst jobs are:

What states have the most Sport Data Analyst jobs?

States with the most job openings for Sport Data Analyst jobs include:

Infographic showing various Sport Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Sr. Data Analyst

Versant Media

Orlando, FL • On-site

$80K - $101K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Company Description

VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass.

Job Description

This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the broader Data Product and Technology team. The position is responsible for supporting the ongoing operations, enhancement, and maintenance of data products.

In this role, the senior data analyst will contribute to expanding the organization’s analytical and AI capabilities within a fast-paced, innovative environment, playing a key part in developing scalable data products that deliver measurable value to both internal stakeholders and external business partners.

Responsibilities:

  • Design, develop, and implement advanced algorithms and automated analytical pipelines, including clustering (e.g k-means, hierarchical clustering, DBSCAN, HDBSCAN), supervised learning (e.g. linear and logistic regression, decision trees, random forests, gradient boosting, XGBoost), time-series forecasting (e.g. ARIMA, Prophet, LSTM), optimization techniques, and probabilistic models to analyze large, complex, and unstructured datasets.
  • Develop, refine, validate and deploy scalable advanced analytical and statistical models to generate actionable insights for key stakeholders
  • Partner closely with finance, product, pricing, marketing, and data services teams to translate business questions into analytical solutions, productionize models using MLOps best practices, and support the ongoing monitoring, maintenance, and optimization of data products and models.
  • Cleanse, integrate, and validate data from multiple internal and external sources, applying data quality controls, feature engineering techniques, and scalable transformation processes to ensure accuracy, reliability, and analytical readiness.
  • Evaluate and monitor model performance using appropriate metrics, diagnose anomalies and model drift, conduct A/B testing and experimentation, and define, monitor, and optimize KPIs supporting revenue, pricing, and growth initiatives.
  • Leverage modern AI and Generative AI technologies, including large language models (LLMs) and AI-assisted analytics tools, to improve analytical workflows, automate insight generation, and enhance decision-support capabilities.
  • Interpret and clearly communicate analytical findings, model assumptions, and business implications to senior leadership, cross-functional teams, and external clients through concise presentations, visualizations, and technical documentation.
Qualifications
  • Bachelor’s degree is required in Business Analytics, Computer Information Systems, Industrial Engineering, Statistics, Mathematics, Economics, Data Science, or a related field
  • 1+ years of experience in data analytics, business intelligence, data science, or a related analytical role
  • Advanced skills in SQL, Python and/or R
  • Familiarity in visualization tools such as Tableau, Looker, etc.
  • Familiarity in using GitHub for version control, collaborative development, code reviews, CI/CD workflows, and management of analytics and machine learning codebases.

Desired Characteristics:

  • Experience in pricing and/or marketing analytics is preferred
  • Familiarity in Media, News and/or Entertainment content is preferred
  • Prior internship or work experience is preferred
  • Strong intellectual curiosity paired with excellent problem-solving and quantitative skills, including the ability to decompose complex problems, identify root causes, and recommend effective solutions.

Additional Requirements:

  • Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. Must be willing to work in the Orlando, FL office.  Travel may be required for this position for company or department meetings.
  • This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks.

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to candidateaccessibility@versantmedia.com.

VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc.

VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.