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Contract Nfl Data Analyst Jobs (NOW HIRING)

NFL Data Scientist

San Francisco, CA ยท On-site +1

$140K/yr

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 ...

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 ...

Overview We are seeking an Interim Data Analyst to join our Data Analyst team on a 4-month contract, based on-site at our Frisco, TX office. This role supports the team's ongoing reporting and ...

Overview GDC IT Solutions is currently seeking a Data Analyst to work in a long-term contract or RTH capacity in Mechanicsburg, Pennsylvania, supporting the Administrative Office of Pennsylvania ...

Overview GDC IT Solutions is currently seeking a Data Analyst to work in a long-term contract or RTH capacity in Mechanicsburg, Pennsylvania, supporting the Administrative Office of Pennsylvania ...

Responsibilities and Qualifications Contract Data Analyst: We seek candidates with a strong analytical mindset, excellent R programming skills, and expertise in data visualization platforms like R ...

Data Analyst - W2 Contract Location: Austin, TX Hybrid 3 days onsite 2 days remote Need local to Austin, TX only Duration: 6+ Months Skills: Data Analyst, ETL, SQL, LoanIQ Note: Looking for Permanent ...

Contract Data Analyst ResponsibilitiesDashboard & Visualization Development: Design, build, and maintain interactive Power BI dashboards, Smartsheet trackers, and customized visual reports to provide ...

Contract Data Analyst Responsibilities * Dashboard & Visualization Development: Design, build, and maintain interactive Power BI dashboards, Smartsheet trackers, and customized visual reports to ...

... Contract Staffing (Staff Augmentation) Permanent Placement (Staff Augmentation) ICAP (Contractor Payroll) Flextrack (Vendor Management System) Data Analyst On behalf of our Client, Procom Services is ...

Contract Length: 9 months Our client in the Centennial, Colorado area is looking for 2 Data Analysts to join their team on a contract basis. These analysts will join a team and be responsible for ...

Data Analyst

Omaha, NE ยท On-site

$23.75 - $27.50/hr

We are looking for a detail-oriented Data Analyst to support a long-term contract assignment within the health pharm/biotech industry in Omaha, Nebraska. In this role, you will help maintain accurate ...

Contract and Data Analyst (Managed Care)

Tulsa, OK ยท On-site

$68K - $98K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Contract and Data Analyst (Managed Care) Location: Tulsa, OK Schedule: Monday-Friday | 8:00 AM - 5:00 PM Pay Range: $68,390 - $98,585 annually Job Summary: The Contract and Data Analyst supports ...

Contract and Data Analyst (Managed Care)

Tulsa, OK ยท On-site

$68K - $98K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Contract and Data Analyst (Managed Care) Location: Tulsa, OK Schedule: Monday-Friday | 8:00 AM - 5:00 PM Pay Range: $68,390 - $98,585 annually Job Summary: The Contract and Data Analyst supports ...

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Contract Nfl Data Analyst information

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$34K

$82.6K

$136K

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

As of Aug 19, 2026, the average yearly pay for contract nfl data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a Contract NFL Data Analyst?

A Contract NFL Data Analyst is a professional hired on a temporary or project basis to analyze football-related data for the National Football League (NFL). Their work typically involves collecting, processing, and interpreting large sets of data, such as player statistics, game performance metrics, and scouting reports. These analysts use statistical methods and data visualization tools to provide insights that can help teams make informed decisions about player recruitment, game strategies, and opponent analysis. The contract nature of the role means that analysts may work for a specific team, agency, or project for a set period instead of being permanent staff. This position requires strong analytical skills, proficiency with data tools, and a deep understanding of football.

How does a Contract NFL Data Analyst typically collaborate with coaching staff and scouting teams?

As a Contract NFL Data Analyst, you'll often work closely with coaching staff and scouting teams to provide actionable insights from player performance, in-game statistics, and opponent tendencies. Collaboration may involve weekly meetings to present data-driven reports, answering ad-hoc requests for analysis, and supporting decision-making during drafts or game preparations. Clear communication and the ability to translate complex data into practical recommendations are crucial for building trust and driving results across departments.

What are the key skills and qualifications needed to thrive as a Contract NFL Data Analyst, and why are they important?

To thrive as a Contract NFL Data Analyst, you need strong analytical skills, a background in statistics or data science, and familiarity with football analytics. Expertise in tools such as Python, R, SQL, and experience with data visualization platforms like Tableau, as well as knowledge of NFL-specific databases, is highly valued. Attention to detail, problem-solving abilities, and effective communication help analysts interpret data and present actionable insights to teams or stakeholders. These skills ensure accurate data-driven recommendations that enhance team performance and strategic decision-making in a competitive sports environment.

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

AspectContract Nfl Data AnalystContract Football Data Analyst
Required CredentialsBachelor's in Data Science, Sports Management, or related field; knowledge of NFL dataBachelor's in Sports Analytics, Data Science, or related; familiarity with football statistics
Work EnvironmentSports teams, NFL organizations, or sports analytics firmsFootball teams, sports agencies, or analytics companies
Industry UsagePrimarily within NFL and American football industryWithin football industry, including college and professional levels

The main difference between a Contract NFL Data Analyst and a Contract Football Data Analyst lies in their specific focus within football. The NFL Data Analyst specializes in NFL-specific data, metrics, and team analysis, while the Football Data Analyst may work across various football levels, including college and other leagues. Both roles require similar skills and credentials but differ in their industry focus and data scope.

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 knowledge of sports analytics, programming skills, and familiarity with data visualization software. Data analysts in sports may work closely with coaching staff and management to enhance team performance.

How much do Contract NFL Data Analysts make?

Contract NFL Data Analysts typically earn between $25 and $50 per hour, depending on experience, project scope, and the organization. Compensation can vary based on the complexity of data analysis, familiarity with sports analytics tools, and the duration of the contract.

How to become a Contract NFL Data Analyst?

To become a contract NFL data analyst, candidates typically need a strong background in statistics, data analysis, or sports management, along with proficiency in tools like Excel, SQL, and data visualization software. Relevant experience with sports data, knowledge of football analytics, and the ability to interpret complex datasets are essential, and some roles may require a bachelor's degree or higher in a related field.
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Cities with the most Contract Nfl Data Analyst job openings:

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The most popular types of Nfl Data Analyst jobs are:

What states have the most Contract Nfl Data Analyst jobs?

States with the most job openings for Contract Nfl Data Analyst jobs include:

Infographic showing various Contract 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

NFL Data Scientist

Swish Analytics

San Francisco, CA โ€ข On-site, Remote

$140K/yr

Full-time

Re-posted 15 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