1

Golf Data Analytics Jobs in Florida (NOW HIRING)

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

... finance, golf, and sports and genre entertainment. These markets are served through a powerful ... Bachelor's degree is required in Business Analytics, Computer Information Systems, Industrial ...

... Golf & Country Club plays a crucial strategic and analytical role in the community's long-term ... Prepare dashboards, charts, and presentations that translate complex financial data into clear ...

Senior Accountant

Venice, FL · On-site

$69K - $87K/yr

As part of Troon, you'll contribute to a global leader in golf and community management. Sarasota ... data preparation, review of assumptions, and variance analysis. * Analyze financial performance ...

Accounting Manager

Vernon, FL · On-site

$70K - $80K/yr

This new expression of golf by Michael Keiser Jr will change the way people look at Florida. Old ... Ability to analyze, multitask and work in a fast-paced environment is required. * Organization and ...

This new expression of golf by Michael Keiser Jr will change the way people look at Florida. Old ... Ability to analyze, multitask and work in a fast-paced environment is required. * Organization and ...

next page

Showing results 1-20

Golf Data Analytics information

What is Golf Data Analytics?

Golf Data Analytics involves collecting, processing, and analyzing data related to golf performance, such as player statistics, shot tracking, course conditions, and tournament results. Professionals in this field use statistical methods and software tools to help golfers, coaches, and organizations make informed decisions to improve performance, strategy, and outcomes. By leveraging data, they can identify trends, strengths, weaknesses, and opportunities for improvement on the golf course.

What is the difference between Golf Data Analytics vs Golf Data Analyst?

AspectGolf Data AnalyticsGolf Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of golf industrySimilar credentials; often includes certifications in data analysis or sports analytics
Work EnvironmentCollaborative teams in sports organizations, golf clubs, or analytics firmsSame as Golf Data Analytics, often working directly with golf professionals and management
Industry UsageUsed for strategic decision-making, performance analysis, and course managementFocuses on analyzing player performance, shot data, and operational metrics

Golf Data Analytics involves broader strategic and technical analysis within the golf industry, often encompassing data science and modeling. A Golf Data Analyst typically performs the hands-on analysis of golf data, providing insights to improve player performance or operational efficiency. Both roles require similar skills and credentials but differ in scope and focus.

What are the key skills and qualifications needed to thrive as a Golf Data Analytics professional, and why are they important?

To thrive in Golf Data Analytics, you need a strong background in statistics, data analysis, and sports science, often supported by a degree in mathematics, data science, or a related field. Proficiency with data analysis tools such as Python, R, Tableau, and golf-specific tracking systems like ShotLink is typically required. Attention to detail, problem-solving skills, and effective communication help professionals translate complex data into actionable insights for coaches and players. These skills ensure accurate performance analysis and support data-driven decision-making to gain a competitive edge in the sport.

How does a Golf Data Analytics professional typically collaborate with coaches and players to improve performance?

Golf Data Analytics professionals work closely with coaches and players by collecting and interpreting performance data, such as swing metrics, shot patterns, and course statistics. They translate complex data into actionable insights, often presenting findings through visualizations or reports during training sessions. Effective communication and understanding of both technical analytics and golf strategy are essential, as the role requires translating numbers into practical recommendations. This collaborative approach helps tailor training programs and game strategies to individual strengths and areas for improvement.
What are the most commonly searched types of Golf Data Analytics jobs in Florida? The most popular types of Golf Data Analytics jobs in Florida are:
What job categories do people searching Golf Data Analytics jobs in Florida look for? The top searched job categories for Golf Data Analytics jobs in Florida are:
What cities in Florida are hiring for Golf Data Analytics jobs? Cities in Florida with the most Golf Data Analytics job openings:
Infographic showing various Golf Data Analytics job openings in Florida as of July 2026, with employment types broken down into 48% Full Time, 36% Part Time, and 16% Temporary. Highlights an 100% In-person job distribution.

Sr. Data Analyst

Versant Media

Orlando, FL

$80K - $101K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days 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.