1

Nfl Data Analytics Jobs in Florida (NOW HIRING)

The Tampa Bay Buccaneers vision is to be the premier NFL Franchise both on and off the field that ... That data may be retained and further processed for the purposes of matching your skills and ...

The Tampa Bay Buccaneers vision is to be the premier NFL Franchise both on and off the field that ... Adobe Analytics) and ability to interpret and act on data. * Demonstrated ability to manage ...

The Tampa Bay Buccaneers vision is to be the premier NFL Franchise both on and off the field that ... That data may be retained and further processed for the purposes of matching your skills and ...

next page

Showing results 1-20

Nfl Data Analytics information

See Florida salary details

$42

$44

$45

How much do nfl data analytics jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for nfl data analytics in Florida is $44.27, according to ZipRecruiter salary data. Most workers in this role earn between $43.85 and $44.71 per hour, depending on experience, location, and employer.

What is an NFL Data Analytics?

An NFL Data Analytics job involves collecting, interpreting, and visualizing football-related data to support teams, coaches, and analysts in making informed decisions. Professionals in this role use statistical models and machine learning techniques to evaluate player performance, game strategies, and scouting insights. They work with large datasets, including player tracking data and in-game statistics, to optimize team performance, prevent injuries, and gain a competitive edge. These roles can be found within NFL teams, media companies, or technology firms specializing in sports analytics. Strong skills in programming, data analysis, and football knowledge are essential for success in this field.

What are the typical responsibilities of an NFL Data Analytics professional during the football season?

During the football season, NFL Data Analytics professionals are responsible for collecting and analyzing player and team performance data, preparing reports for coaches, and generating predictive models for upcoming games. They often collaborate with coaching staff and scouts to translate data insights into actionable game plans, while also monitoring player health and workload metrics. The role may also involve real-time analysis during games to support strategy adjustments. Being able to communicate complex analyses clearly to non-technical stakeholders is a frequent and critical task.

What are the key skills and qualifications needed to thrive in the NFL Data Analytics position, and why are they important?

To thrive in NFL Data Analytics, you need strong skills in statistics, data modeling, programming (such as Python or R), and a relevant degree in mathematics, statistics, computer science, or a related field. Familiarity with data visualization tools, advanced analytics platforms, and sports-specific databases is highly valued, with certifications in data analytics being a plus. Excellent attention to detail, collaboration, and communication skills are essential for presenting insights to coaches and executives. These competencies ensure data-driven decision-making that directly impacts team performance and strategy.

Do NFL teams hire data analysts?

Yes, NFL teams often hire data analysts to evaluate player performance, develop strategies, and improve decision-making using statistical tools and data analysis techniques. These roles typically require skills in data management, programming, and sports analytics software, and may involve working closely with coaching staff and management.

How to become an NFL Data Analytics analyst?

To become an NFL Data Analytics analyst, you typically need a bachelor's degree in fields like statistics, data science, or sports management. Developing skills in programming languages such as Python or R, and proficiency with data visualization tools like Tableau, are also important. Gaining experience through internships or projects related to sports analytics can improve job prospects.

What are the most commonly searched types of Nfl Data Analytics jobs in Florida?

The most popular types of Nfl Data Analytics jobs in Florida are:

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

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

Infographic showing various Nfl Data Analytics job openings in Florida as of August 2026, with employment types broken down into 80% Full Time, and 20% Temporary. Highlights an 100% In-person job distribution, with an average salary of $92,074 per year, or $44.3 per hour.

Director Ticketing Strategy & Analytics

Ponte Vedra Beach, FL


PGA TOUR
Spectator Sports • 1 - 5K employees

6.8

Company rating: 6.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

People enjoy working here

Respectful managers

Good training


Full-time

Posted 16 days ago


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

Get the full story on Breakroom