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Nfl Analytics Jobs (NOW HIRING)

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

The department covers a wide range of sports, including NFL, NBA, College Football, and more. The ... Strong base of marketing analytics, financial acumen and understanding of Consumer & Market ...

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Nfl Analytics information

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$64.5K

$125.3K

$179K

How much do nfl analytics jobs pay per year?

As of Aug 19, 2026, the average yearly pay for nfl analytics in the United States is $125,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $149,000.00 per year, depending on experience, location, and employer.

What is NFL analytics?

NFL analytics refers to the use of data analysis, statistics, and advanced mathematical models to evaluate player performance, team strategies, and game outcomes in the National Football League (NFL). Analysts collect and interpret data from games, practices, and player tracking systems to provide insights that help teams make better decisions on player acquisitions, play calling, and in-game tactics. The field has grown significantly in recent years, influencing everything from draft strategies to in-game decision-making. NFL analytics professionals often work closely with coaches, scouts, and front office staff to translate complex data into actionable information.

What are some common challenges NFL analytics professionals face when integrating data insights with coaching decisions?

NFL analytics professionals often encounter challenges when ensuring that their data-driven recommendations are effectively communicated and adopted by coaches and players. Translating complex statistical models into actionable strategies requires strong collaboration skills and an understanding of football operations. Additionally, balancing traditional scouting insights with advanced metrics can be challenging, as some stakeholders may be skeptical of analytics-based decisions. Overcoming these hurdles typically involves building trust, tailoring presentations to different audiences, and demonstrating the real-world impact of analytics on performance and strategy.

What are the key skills and qualifications needed to thrive as an NFL analytics professional, and why are they important?

To thrive in NFL Analytics, you need strong quantitative analysis skills, proficiency in statistics, and a background in mathematics, data science, or a related field. Familiarity with programming languages like Python or R, experience with data visualization tools, and knowledge of football-specific analytics platforms are typically required. Exceptional problem-solving, communication, and teamwork skills help translate complex data into actionable insights for coaches and executives. These skills are vital for driving data-informed decisions that can improve team performance and competitive strategy.

What is the difference between Nfl Analytics vs Football Data Analyst?

AspectNfl AnalyticsFootball Data Analyst
Required CredentialsDegree in Sports Analytics, Statistics, or related field; knowledge of NFL dataDegree in Sports Science, Data Analysis, or related; familiarity with football metrics
Work EnvironmentSports teams, analytics firms, media outlets focused on NFLFootball teams, sports agencies, media, or consulting firms
Industry UsageSpecialized in NFL-specific data and insightsBroader football industry, including college and other leagues

While both roles involve analyzing football data, Nfl Analytics focuses specifically on NFL data and insights, often with a deeper specialization in NFL metrics. Football Data Analysts may work across various levels of football, including college and other leagues, with a broader scope. Both roles require strong analytical skills and familiarity with football statistics, but Nfl Analytics is more tailored to NFL-specific data and industry applications.

More about Nfl Analytics jobs

What cities are hiring for Nfl Analytics jobs?

Cities with the most Nfl Analytics job openings:

What states have the most Nfl Analytics jobs?

States with the most job openings for Nfl Analytics jobs include:

Infographic showing various Nfl Analytics job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $125,326 per year, or $60.3 per hour.

Director Ticketing Strategy & Analytics

PGA TOUR, Inc

Ponte Vedra Beach, FL • On-site

$180 - $240/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 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

ResponsibilitiesAnalytics & 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

When most people think of the PGA TOUR, they envision famous golfers, exciting tournaments, and the TOUR’s generous support of more than 3,000 charities. We are all of these things, but there’s much more to the PGA TOUR than meets the eye. Behind the TOUR’s international reputation for sports excellence and philanthropic leadership is a dedicated team of business, sports management and entertainment professionals working together to support our players and advance our mission. Headquartered in Ponte Vedra Beach, Fla., we’re a dynamic group of individuals with diverse talents who share a deep respect for the sport of golf and the positive impact it has in communities across the United States and internationally.

Benefits
  • Medical, Dental and Vision
  • Life and Disability insurance
  • Paid time off and paid holidays
  • 401(k) plus employer match and contribution
  • Health Savings Account/Medical and Dependent Care
  • Flexible Spending Accounts
  • Wellness Program
  • Membership to TPC Sawgrass

EOE The TOUR is an equal opportunity employer. We do not discriminate or tolerate discrimination on the basis of race, sex, sexual orientation, religion, national origin, age, disability, marital status, color, ancestry, citizenship status, uniform services member status, pregnancy, gender, gender identity, gender expression or any other classification or differences protected by applicable law.

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