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Nfl Data Analytics Jobs (NOW HIRING)

Data & Analytics Lead

Calabasas, CA ยท On-site

$80K - $100K/yr

... NBA, NFL, NCAA, and NASCAR. We're also proud to partner with some of the most iconic teams and ... The Data & Analytics Lead is the "intelligence engine" for the entire organization. We are already ...

... NBA, NFL, NCAA, and NASCAR. We're also proud to partner with some of the most iconic teams and ... The Data & Analytics Lead is the "intelligence engine" for the entire organization. We are already ...

Data & Analytics Lead

Calabasas, CA ยท On-site

$80K - $100K/yr

... NBA, NFL, NCAA, and NASCAR. We're also proud to partner with some of the most iconic teams and ... The Data & Analytics Lead is the "intelligence engine" for the entire organization. We are already ...

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully ...

Examples would include working for an NFL or NCAA analytics department, working for a third party analytics provider, achievement in events such as the Big Data Bowl, or original football analytics ...

... NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 ... Partner with Analytics Engineering on data mart and stable view design. Ensure requirements and UAT ...

... NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 ... Partner with Analytics Engineering on data mart and stable view design. Ensure requirements and UAT ...

This is a senior role in a fast-paced environment contributing to comprehensive editorial oversight of our NFL coverage, using data analytics to optimize performance, and partner across the editorial ...

Data Engineer

$117K - $140K/yr

We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs ... feeds to analytics-ready datasets. Your mission is to make data reliable, discoverable, and ...

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NFL Data Analytics information

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How much do nfl data analytics jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for nfl data analytics in the United States is $59.24, according to ZipRecruiter salary data. Most workers in this role earn between $58.65 and $59.86 per hour, depending on experience, location, and employer.

What is an NFL Data Analytics job?

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.

Do NFL teams hire data analysts?

Yes, NFL teams hire data analysts to evaluate player performance, develop strategies, and improve team decision-making. These analysts often use statistical tools, data visualization, and sports analytics software to support coaching and management staff.

How to become an NFL data analyst?

To become an NFL data analyst, you typically need a bachelor's degree in statistics, data science, or a related field, along with strong skills in data analysis tools like SQL, Python, or R. Experience with sports analytics, understanding of football metrics, and the ability to interpret large datasets are also important. Gaining internships or certifications in sports analytics can improve job prospects in this specialized field.

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.

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.

How does the NFL use data analytics?

NFL data analysts collect and analyze game, player, and team data to inform strategic decisions, improve performance, and enhance fan engagement. They use tools like statistical software and machine learning models to identify patterns and optimize coaching strategies. This role requires strong analytical skills and knowledge of sports metrics and data management.

How much does a data analyst for an NFL team make?

A data analyst for an NFL team typically earns between $50,000 and $100,000 annually, depending on experience, team size, and location. Many analysts also use tools like SQL, Python, or R and may require a background in sports analytics or related fields.
More about NFL Data Analytics jobs
What cities are hiring for Nfl Data Analytics jobs? Cities with the most Nfl Data Analytics job openings:
What are the most commonly searched types of Nfl Data Analytics jobs? The most popular types of Nfl Data Analytics jobs are:
What states have the most Nfl Data Analytics jobs? States with the most job openings for Nfl Data Analytics jobs include:
Infographic showing various Nfl Data Analytics job openings in the United States as of June 2026, with employment types broken down into 6% Internship, 83% Full Time, and 11% Part Time. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $123,210 per year, or $59.2 per hour.
Data & Analytics Lead

Data & Analytics Lead

TicketManager

Calabasas, CA โ€ข On-site

$80K - $100K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Job description

Live events are fun.ย 
Concerts, sporting events, and festivals create memorable lifelong experiences with clients, prospects, partners, friends, and familyโ€”and they drive real business impact.
Companies spend more than $600 billion each year on client entertainment. TicketManager is the enterprise platform they trust to source, manage, track, and report on live event tickets and hospitalityโ€”while maintaining compliance, control, and visibility across the organization.
Built at the intersection of live events, technology, and enterprise operations, TicketManager makes client entertainment easy and measurable. Our industry-leading software supports everything from invitations and event execution to post-event reporting, helping companies clearly prove ROI and strengthen relationships through unforgettable experiences.
TicketManager is trusted by thousands of global brands, including Anheuser-Busch, Verizon, American Express, Nike, and Visa, as well as Fortune 500 companies, professional sports leagues, and major organizations such as the NBA, NFL, NCAA, and NASCAR.
Weโ€™re also proud to partner with some of the most iconic teams and venues in sports and entertainment, including the New York Jets, Philadelphia Eagles and Phillies, Capital One Arena, Texas Rangers, LAFC, and Seattle Seahawks, along with more than 50 professional and collegiate teams, franchises, universities, and technology providers.
Why Work at TicketManager
At TicketManager, youโ€™ll help build technology that brings people together through live experiencesโ€”while solving complex, real-world problems for the worldโ€™s best companies. Weโ€™re a fast-growing, profitable company that values ownership, collaboration, and excellence, and weโ€™re building a team thatโ€™s passionate about making work impactful and fun.
If youโ€™re excited about live events, cutting-edge technology, and doing work that truly matters, youโ€™ll feel right at home here.
The Role:
The Data & Analytics Lead is the "intelligence engine" for the entire organization. We are already a heavy Power BI shop; your mission is to take our existing footprint to the next level. You will manage our Data Lake (AWS or Azure), scale our Power BI Fabric implementation, and act as a high-speed technical partner for every departmentโ€”from Sales to Fulfillment. This is a role for a curious, experimental builder who loves solving complex puzzles under tight deadlines and providing the "speed to insight" that keeps our executive team moving.
Responsibilities:
Power BI & Fabric Power-User
  • Advance the Stack: Take ownership of a mature Power BI environment. Optimize existing dashboards for performance and design "next-gen" visualizations in Power BI Fabric.
  • New Development: Rapidly build and deploy new dashboards that track emerging business initiatives across the organization.
  • Deep-Dive DAX: Write and troubleshoot complex DAX and Power Query (M) to ensure our metrics are accurate and performant.
Data Lake Architecture & Management
  • Lake Ownership: Manage and optimize our Data Lake environment (AWS or Azure). Ensure data is clean, accessible, and structured for high-performance reporting.
  • Cross-Org Integration: Ingest data from disparate sources (Dynamics, Zendesk, Atlassian, and application data) into a unified layer that allows for cross-departmental analysis.
  • Experimental Engineering: Be open to testing new tools, connectors, or AI-driven data processing methods to find the most efficient path to an answer.
High-Velocity Ad-Hoc Analysis
  • The "Human API": Act as the primary point of contact for "quick questions" from leadership. You must be able to pivot from a long-term project to a 30-minute deep-dive to answer a pressing business question.
  • Cross-Departmental Projects: Manage a rotating queue of projects from different teams. One day youโ€™re helping Finance with billing reconciliation; the next, youโ€™re helping Support track ticket deflection.
Curiosity & Experimentation
  • Stay Hungry: Constantly look for better ways to visualize data or automate reporting. We want someone who asks "What if we tried this?" instead of just following a ticket.
  • AI Integration: Explore how AI features within the Power BI/Fabric ecosystem (like Copilot for Power BI) can be used to speed up our internal workflows.
Desired Skills and Experience:
  • Bachelorโ€™s degree required (Computer Science, Mathematics, Statistics, or related field preferred)
  • 3โ€“5 years of experience in a data analytics, BI, or data engineering-adjacent role
  • Expert-level proficiency in Power BI, including advanced DAX, Power BI Service administration, and experience with Microsoft Fabric and/or Lakehouse architecture
  • Strong hands-on experience with cloud-based data platforms, including AWS (S3, Redshift) and/or Azure (Data Lake, Synapse)
  • Advanced SQL expertise with the ability to write complex queries across large, disparate, and legacy datasets
  • Demonstrated ability to identify trends, anomalies, and data quality issues proactively (strong analytical and statistical intuition)
  • Experience in logistics, sports/entertainment, or high-growth SaaS environments strongly preferred
  • Proficiency in Python or R for advanced data manipulation and analysis preferred
  • Portfolio or examples of impactful dashboard design that go beyond standard BI reporting (emphasis on storytelling and usability)
  • Comfortable working in fast-paced, in-office environments that require real-time collaboration and rapid iteration
  • Able to prioritize speed and business needs in time-sensitive situations, balancing โ€œgood enough nowโ€ vs. โ€œperfect laterโ€
  • Technically adaptable and resourceful, with the ability to quickly ramp on new tools across AWS, Azure, and emerging data technologies
TicketManager Highlights:
  • Compensation:ย $80,000โ€“$100,000 base salary + Variable Compensation
  • Location: Calabasas, CA (HQ), New York City, NY, or Mesa, AZ
  • Reports to: COO
  • Work Expectations: Role is In-Office, Monday-Friday
  • Retirement: 401(k) & Company Match
  • Health Benefits: Medical, Dental, Vision & Chiropractic
  • Time Off: Unlimited PTO
  • Interview Process: Multistage interview process with senior leaders across TicketManager to ensure strong alignment on role scope and expectations.
  • Events: Quarterly live event credits (we practice what we preach!), monthly happy hours, and volunteering
  • Perks: Fun, collaborative, in-office culture at our HQ with catered lunches and big company perks with the autonomy of a high-growth startup.
  • Recognition: Inc. 5000 fastest-growing private company by Inc. Magazine six years in a row. Recognized as one of the Best Places to Work by Inc. Magazine, The LA Business Journal, and Sports Business Journal
  • 4.5 out of 5 Glassdoor rating
  • Used by over 4,000 globally known companies including ~15% of the Fortune 500

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