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Internship Golf Data Analytics Jobs in Florida (NOW HIRING)

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

Bachelor's degree is required in Business Analytics, Computer Information Systems, Industrial ... Prior internship or work experience is preferred * Strong intellectual curiosity paired with ...

Bachelor s or Master s degree in Computer Science, Information Systems, IT, Data Analytics, Business Analytics, Statistics, or a related field * 0 2 years of experience or relevant internships in ...

Interns will be placed in one of several departments based on skills, interests, and business needs ... Data Analytics * Underwriting * Cybersecurity * Business Analysis What Intern will gain: * Hands-on ...

Benefits for Internships: Real-world exposure to the use of analytics within a public, commercial Real Estate Investment Trust. Using a modern data platform to build production analytics to inform ...

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Internship Golf Data Analytics information

What is an internship golf data analytics?

Internship Golf Data Analytics jobs are entry-level positions designed for students or recent graduates looking to gain hands-on experience in analyzing golf-related data. These roles typically involve collecting, organizing, and interpreting data from golf tournaments, player statistics, or course metrics to support decision-making for teams, coaches, or organizations. Interns may use software tools to visualize trends, create reports, and provide insights that can improve player performance and strategic planning. This internship is ideal for individuals with an interest in both golf and data analysis, and it often serves as a stepping stone to more advanced analytics roles in the sports industry.

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

AspectInternship Golf Data AnalyticsGolf Data Analyst
Required CredentialsEnrolled in or recent graduate of relevant program, basic data skillsBachelor's degree in data science, statistics, or related field; experience preferred
Work EnvironmentInternship setting, learning-focused, entry-level projectsFull-time professional role, responsible for ongoing data analysis
Employer & Industry UsageGolf courses, sports analytics firms, equipment companiesGolf clubs, sports organizations, analytics firms

The Internship Golf Data Analytics position is an entry-level, learning-focused role designed for students or recent graduates gaining experience in golf data analysis. In contrast, a Golf Data Analyst is a full-time professional responsible for analyzing and interpreting golf data to inform business decisions. The internship offers foundational exposure, while the analyst role involves more advanced responsibilities and expertise.

What types of projects can an intern expect to work on in a golf data analytics internship?

As a Golf Data Analytics intern, you can expect to work on projects involving data collection, cleaning, and analysis of various golf performance metrics. Typical tasks may include analyzing player statistics, creating visualizations to identify trends, and assisting in the development of predictive models to enhance coaching or tournament strategies. Interns often collaborate closely with coaches, data scientists, and IT teams, providing valuable insights to support decision-making. This hands-on experience offers exposure to both the technical and sports-specific aspects of analytics, setting a strong foundation for future roles in sports analytics.

What skills and qualifications are needed for an internship golf data analytics?

To thrive as an Internship Golf Data Analytics, you need a solid understanding of statistics, data analysis, and a background in mathematics or sports analytics. Familiarity with data visualization tools, programming languages like Python or R, and experience using analytics platforms such as Tableau or Microsoft Excel are typically required. Strong attention to detail, problem-solving skills, and effective communication make candidates stand out in this role. These skills and qualities are essential for accurately interpreting golf performance data and delivering actionable insights to coaches and players.
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 Internship Golf Data Analytics jobs in Florida look for? The top searched job categories for Internship Golf Data Analytics jobs in Florida are:
What cities in Florida are hiring for Internship Golf Data Analytics jobs? Cities in Florida with the most Internship Golf Data Analytics job openings:
Infographic showing various Internship Golf Data Analytics job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Sr. Data Analyst

Versant Media

Orlando, FL

$80K - $101K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 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.