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Nba Data Analytics Jobs in Florida (NOW HIRING)

Exos

Sports Science Intern - Fall 2026

Gulf Breeze, FL

$13.75 - $18.25/hr

Collect, analyze, and interpret biomechanical and physiological data. * Help integrate data into ... NBA Draft each year, and our practitioner education courses and workshops provide industry ...

Exos

Sports Science Intern - Fall 2026

Gulf Breeze, FL · On-site

$13.75 - $18.25/hr

Collect, analyze, and interpret biomechanical and physiological data. * Help integrate data into ... NBA Draft each year, and our practitioner education courses and workshops provide industry ...

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Nba Data Analytics information

What is NBA data analytics?

NBA data analytics involves the collection, processing, and interpretation of basketball-related data to support decision-making within NBA organizations. Analysts use statistics, machine learning, and data visualization to evaluate player performance, optimize team strategies, and gain competitive advantages. This field combines knowledge of basketball with technical skills in data science and often supports front office staff, coaches, and scouting departments. The insights from data analytics can influence player recruitment, game tactics, and injury prevention.

How does an NBA data analytics professional collaborate with coaches and front office staff to influence team strategies?

NBA Data Analytics professionals play a crucial role in bridging the gap between raw data and actionable insights for coaches and front office staff. They regularly present their findings in clear, digestible formats—such as dashboards or reports—during team meetings or strategy sessions. Close collaboration is essential, as analysts often work alongside coaches to interpret player performance metrics, suggest lineup optimizations, or evaluate potential trades. This dynamic environment requires strong communication skills and the ability to translate complex analytics into practical recommendations that fit the team's goals and style of play.

What are the key skills and qualifications needed to thrive as an NBA data analyst, and why are they important?

To thrive as an NBA Data Analyst, you need strong quantitative skills, a background in statistics or data science, and a solid understanding of basketball analytics. Proficiency in programming languages like Python or R, data visualization tools such as Tableau, and experience working with large sports datasets are typically required, along with knowledge of advanced analytics techniques. Excellent communication, critical thinking, and teamwork skills help analysts translate complex data into actionable insights for coaches and management. These skills are crucial for making data-driven decisions that can impact player performance, game strategy, and overall team success.

What is the difference between Nba Data Analytics vs Nba Video Analyst?

AspectNba Data AnalyticsNba Video Analyst
Required SkillsData analysis, statistical tools, programming (Python, R)Video editing, playback software, basketball knowledge
Work EnvironmentOffice, data centers, sports analytics firmsStadiums, training facilities, broadcast rooms
Industry UsagePlayer performance, game strategy, scoutingGame breakdowns, player tendencies, coaching support

While both roles support NBA teams, Nba Data Analytics focuses on analyzing numerical data to inform decisions, whereas Nba Video Analysts interpret game footage to provide visual insights. Both are essential but serve different functions within team operations.

What are popular job titles related to Nba Data Analytics jobs in Florida?

For Nba Data Analytics jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Nba Data Analytics jobs in Florida look for?

The top searched job categories for Nba Data Analytics jobs in Florida are:

What cities in Florida are hiring for Nba Data Analytics jobs?

Cities in Florida with the most Nba Data Analytics job openings:

Nba Data Analytics jobs near you
Infographic showing various Nba Data Analytics 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.

Director Ticketing Strategy & Analytics

PGA TOUR

Ponte Vedra Beach, FL • On-site

Full-time

Posted 6 days ago

PGA Tour rating

6.8

Company rating: 6.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

The Best Players Need the Best People.

The Director, Ticketing Strategy & Analytics will serve as a key member of the PGA TOUR Events and Fan Research & Analytics team responsible for deriving data-driven insights that support primary and secondary market pricing and strategic growth initiatives. This position will work with a diverse group of stakeholders including marketing, sales, event leadership, and ticketing, leading the development of a year-round, budget-supported strategy for ticket pricing across PGA TOUR Events.
The Director will lead the building of models and dashboards that power decision-making, delivering crisp, actionable insights to stakeholders and driving high-end results in dynamic pricing, special offers, and promotions. This role combines analytical and optimization expertise, business acumen, and the ability to influence outcomes across diverse stakeholders, serving as the primary liaison and industry expert from the Fan Research & Analytics team to marketing, ticketing, and event leadership.

Qualifications

  • Bachelor's degree in business or a related field required

  • Minimum 10 years of work experience in data strategy, analytics, or a business intelligence role, preferably within a major professional or collegiate sports team or league (NHL, MLB, MLS, NBA, NFL, NCAA); industry experience is not required

  • Proven experience leading cross-functional initiatives

  • Strong technical proficiency, including advanced Tableau skills for dashboard development and visualization best practices

  • Strong Excel and PowerPoint skills

  • Intermediate-to-advanced SQL proficiency

  • Experience with Python or R, or AI development applications (e.g., Cursor), preferred for statistical modeling, automation, or data manipulation

  • Familiarity with fan data platforms, CRM systems, or ticketing data ecosystems a plus

  • Salesforce CRM experience preferred, but not required

  • Ability to distill complex data into simple, actionable insights for senior leadership

  • Strong interpersonal skills, with the ability to influence cross-functional teams and build trusted partnerships

  • Familiarity with budgeting and working with budgets to justify strategic decisions

Responsibilities/Duties

Analytics & Execution

  • Build and maintain pricing models (dynamic/variable pricing) and demand forecasts, incorporating strength of field, day-of-week, seasonality, promotions, and historical purchase behavior

  • Analyze primary and secondary market data (resale pricing, transfer trends, no-show rates) and surface findings that inform pricing and inventory decisions

  • Oversee ticketing dashboards and self-service reporting tools used by Marketing, Sales, and Ticketing to track ticketing KPIs

  • Continuously review ticket sales offers in coordination with event marketing strategy and recommend adjustments to that strategy

Cross-Functional Collaboration

  • Partner with Marketing to align campaign timing and promotions with demand signals, and analyze campaign performance after the fact

  • Partner with Ticketing on inventory management and capacity adjustments

  • Manage third parties supporting ticket sales strategy initiatives, including secondary market strategy and dynamic pricing partners, and travel package providers

  • Oversee event data capture, consolidation, and distribution across ticketing systems

  • Partner with Ticketing to develop and assist in implementing a consistent fan experience across PGA TOUR events

Process Support

  • Lead and improve documented processes and playbooks for pricing execution across markets

  • Lead the tracking and reporting of core ticketing KPIs (yield, sell-through rate, average ticket price, renewal rate, secondary market spread, etc.)

  • Oversee data quality and consistency checks across ticketing data sources

What PGA Tour employees say

Pay

Benefits

Hours and flexibility

Workplace

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