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Senior Nfl Data Analyst Jobs (NOW HIRING)

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science ...

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science ...

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

Senior Data Analyst ID: 1592 Location: Quantico, VA More about this job > Description Data Intelligence is seeking a highly skilled Senior Data Analyst to support the Naval Criminal Investigative ...

Senior Data Analyst

Albany, NY · Hybrid

$81K - $169K/yr

We are currently seeking a Senior Data Analyst to join our team in Albany, New York (US-NY), United States (US). This position requires 50% onsite in Albany, NY The MECM Senior Data Analyst supports ...

Senior Data Analyst

Albany, NY · Hybrid

$81K - $169K/yr

We are currently seeking a Senior Data Analyst to join our team in Albany, New York (US-NY), United States (US). This position requires 50% onsite in Albany, NY The MECM Senior Data Analyst supports ...

Senior Data Analyst

Albany, NY · On-site

$81K - $169K/yr

We are currently seeking a Senior Data Analyst to join our team in Albany, New York (US-NY), United States (US). This position requires 50% onsite in Albany, NY The MECM Senior Data Analyst supports ...

Senior Data Analyst

Albany, NY · On-site

$81 - $169/hr

We are currently seeking a Senior Data Analyst to join our team in Albany, New York (US-NY), United States (US). This position requires 50% onsite in Albany, NY The MECM Senior Data Analyst supports ...

New

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

Data Intelligence is seeking a highly skilled Senior Data Analyst to support the Naval Criminal Investigative Services IT at NCIS Headquarters in Quantico, VA. This role focuses on advanced data ...

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional ...

Ignite Digital is seeking an experienced Senior Data Analyst to lead advanced analytics efforts supporting a US Navy data analytics, cloud management, and IT modernization program. This position ...

SENIOR DATA ANALYST

Denver, CO · On-site +1

$88K - $111K/yr

Senior Data Analyst Job Type: (Remote)308 East Cherry Ave Jonesboro, AR 72401 SIKKY Manufacturing is a leading manufacturer of high-quality automotive parts and accessories. With over 20 years of ...

Senior Data Analyst

York, NE · On-site

$85 - $120/hr

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts as an internal expert and strategic partner to various business units. This role focuses on tackling ...

Senior Data Analyst

Huntsville, AL · On-site

$115K - $149K/yr

Job Title Senior Data Analyst Cape Fox subsidiary, Cape Fox Federal Integrators, LLC (CFFI) is seeking an experienced Senior Data Analyst to join our team in support of U.S. Army Aviation and Missile ...

Senior Data Analyst

San Francisco, CA · On-site

$80 - $120/hr

The Role We're seeking our first data analytics hire to establish and own the data foundation for our rapidly growing GPU marketplace. This is a high-impact role where you'll work directly with ...

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Senior Nfl Data Analyst information

See salary details

$55K

$99.2K

$135.5K

How much do senior nfl data analyst jobs pay per year?

As of Aug 28, 2026, the average yearly pay for senior nfl data analyst in the United States is $99,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What is a senior NFL data analyst?

Senior NFL Data Analysts are experienced professionals who analyze large sets of football-related data to provide insights that help teams, coaches, and management make strategic decisions. They collect, clean, and interpret data from games, player performance, scouting reports, and other sources to identify trends and opportunities. These analysts often use advanced statistical techniques and data visualization tools to communicate their findings to both technical and non-technical stakeholders. Their work can influence draft picks, player development, game strategies, and even business operations within NFL organizations.

How does a senior NFL data analyst typically collaborate with coaching staff and other departments within a football organization?

A Senior NFL Data Analyst works closely with coaches, scouts, and front office personnel to translate complex data into actionable insights for game strategy and player evaluation. They often participate in regular meetings to present findings, answer ad-hoc data requests, and provide visualizations that help guide decision-making. Effective communication skills are crucial, as analysts must bridge the gap between technical data analysis and practical football applications. This collaborative environment fosters a team-oriented culture and offers opportunities to influence high-stakes decisions on and off the field.

What are the key skills and qualifications needed to thrive as a senior NFL data analyst, and why are they important?

To thrive as a Senior NFL Data Analyst, you need advanced statistical analysis skills, deep knowledge of football analytics, and a relevant degree in mathematics, statistics, or a related field. Proficiency in tools like Python, R, SQL, and data visualization platforms such as Tableau is typically required, along with experience using sports analytics databases. Strong communication, problem-solving, and collaboration skills help you translate complex data into actionable insights for coaches and executives. These abilities are crucial for driving data-informed decision-making and maintaining a competitive edge in a high-stakes sports environment.

Do NFL teams hire data analysts?

Yes, NFL teams hire data analysts to evaluate player performance, develop strategies, and enhance decision-making using statistical tools and data analysis techniques. These roles often require knowledge of sports analytics software, programming languages like Python or R, and a strong understanding of football metrics.

How much do senior NFL data analysts make?

Senior NFL data analysts typically earn between $70,000 and $120,000 annually, depending on experience, location, and the organization. They often utilize advanced analytics tools and have strong knowledge of sports data and programming skills.
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Infographic showing various Senior Nfl Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $99,231 per year, or $47.7 per hour.

NFL Data Scientist

San Francisco, CA • On-site, Remote

Swish Analytics
Spectator Sports • 1 - 10 employees

$140K/yr

Full-time

Re-posted 25 days ago


Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base salary: Starting at $140,000
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote