1

Sports Data Analyst Jobs in Florida (NOW HIRING)

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

... sport data analytics and advanced career preparation. We are seeking candidates with a strong record of teaching excellence, demonstrated through impactful learning experiences, student engagement ...

next page

Showing results 1-20

Sports Data Analyst information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do sports data analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for sports data analyst in Florida is $61,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $72,500.00 per year, depending on experience, location, and employer.

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.

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 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 you become a sports data analyst?

To become a sports data analyst, you typically need a bachelor's degree in statistics, data science, sports management, or a related field. Developing skills in data analysis tools like Excel, SQL, and programming languages such as Python or R is essential, along with knowledge of sports statistics and analytics platforms. Gaining experience through internships or entry-level roles can also help build relevant expertise.

How much do sports data analysts get paid?

Sports data analysts typically earn between $50,000 and $80,000 annually, with salaries increasing with experience, education, and technical skills such as proficiency in data analysis tools and programming languages. Entry-level positions may start around $40,000, while experienced analysts or those working for major organizations can earn over $100,000 per year.

What are the most commonly searched types of Sports Data Analyst jobs in Florida?

The most popular types of Sports Data Analyst jobs in Florida are:

What are popular job titles related to Sports Data Analyst jobs in Florida?

For Sports Data Analyst jobs in Florida, the most frequently searched job titles are:

What cities in Florida are hiring for Sports Data Analyst jobs?

Cities in Florida with the most Sports Data Analyst job openings:

Infographic showing various Sports Data Analyst job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

Sr. Data Analyst

Versant Media

Orlando, FL

$80K - $101K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 hours ago


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.